571 Collibra Jobs

Join Amgen's Mission to Serve Patients If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Specialist IS Software engineer Live What you will do Let’s do this. Let’s change the world. In this vital role We are looking for a creative and technically skilled Specialist IS Software engineer - Data Management Lead . This role will be responsible for leading data management initiatives collaborating across business, IT, and data governance teams. The ideal candidate will have extensive experience in configuring and implementing Collibra products, established track record of building high-quality data governance and data quality solutions with a strong hands-on design and engineering skills. The candidate must also possess strong analytical and communication skills. As a Collibra Lead Developer, you will play a key role in the design, implementation, and management of our Collibra Data Governance and Data Quality platform. You will work closely with stakeholders across the organization to ensure the successful deployment of data governance processes, solutions, and best practices. Building and integrating information systems to meet the company’s needs. Design and implement data governance frameworks, policies, and procedures within Collibra. Configure, implement, and maintain Collibra Data Quality Center to support enterprise-wide data quality initiatives Lead the implementation and configuration of Collibra Data Governance platform. Develop, customize, and maintain Collibra workflows, dashboards, and business rules. Collaborate with data stewards, data owners, and business analysts to understand data governance requirements and translate them into technical solutions Provide technical expertise and support to business users and IT teams on Collibra Data Quality functionalities. Collaborate with data engineers and architects to implement data quality solutions within data pipelines and data warehouses. Participate in data quality improvement projects, identifying root causes of data issues and implementing corrective actions Integrate Collibra with other enterprise data management systems (e.g., data catalogs, BI tools, data lakes). Provide technical leadership and mentoring to junior developers and team members. Troubleshoot and resolve issues with Collibra environment and data governance processes. Assist with training and enablement of business users on Collibra platform features and functionalities. Stay up to date with new releases, features, and best practices in Collibra and data governance. Basic Qualifications: Master’s degree in computer science & engineering preferred with 10+ years of software development experience OR, Bachelor’s degree in computer science & engineering preferred with 10+ years of software development experience Proven experience (7+ years) in data governance or data management roles. Strong experience with Collibra Data Governance platform, including design, configuration, and development. Hands-on experience with Collibra workflows, rules engine, and data stewardship processes. Experience with integrations between Collibra and other data management tools. Proficiency in SQL and scripting languages (e.g., Python, JavaScript). Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills to work with both technical and non-technical stakeholders Self-starter with strong communication and collaboration skills to work effectively with cross-functional teams. Excellent problem-solving skills and attention to detail. Domain knowledge of the Life sciences Industry Recent experience working in a Scaled Agile environment with Agile tools, e.g. Jira, Confluence, etc. Preferred Qualifications: Deep expertise in Collibra platform including Data Governance and Data Quality. In-depth knowledge of data governance principles, data stewardship processes, data quality concepts, data profiling and validation methodologies, techniques, and best practices. Hands-on experience in implementing and configuring Collibra Data Governance, Collibra Data Quality, including developing metadata ingestion, data quality rules, scorecards, and workflows. Strong experience in configuring and connecting to various data sources for metadata, data lineage, data profiling and data quality. Experience integrating data management capabilities (MDM, Reference Data) Good experience with Azure cloud services, Azure Data technologies and Databricks Solid understanding of relational database concepts and ETL processes. Proficient use of tools, techniques, and manipulation including programming languages (Python, PySpark, SQL etc.), for data profiling, and validation. Data modeling with tools like Erwin and knowledge of insurance industry standards (e.g., ACORD) and insurance data (policy, claims, underwriting, etc.). Familiarity with data visualization tools like Power BI. Good to Have Skills Willingness to work on AI Applications Experience with popular large language models Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Thrive What you can expect of us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us. careers.amgen.com Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

At American Express, our culture is built on a 175-year history of innovation, shared values and leadership behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Team Description The Global Merchant & Network Services (GMNS) organization is responsible for managing relationships with millions of Merchants and Partners around the world that facilitate American Express acceptance and enabling the day-to-day operations of our company’s payment network. The people, processes, and technology that support this vital function are evolving to improve the merchant experience and economics. Within GMNS, the Global Strategy, Operations & Performance (GSOP) team’s mission is to deliver a best-in-class premium merchant member experience that will get merchant to not only accept American Express but openly welcome and recommend us to their customers. The GMNS Data Office is responsible for bringing GMNS critical data elements and applications under the Enterprise Data Management Operating Policy (AEMP70) and Enterprise Data Risk Management Policy (AEMP79) compliance. Our team is dedicated to helping American Express leverage the true value of data through application of Data Management and Governance principles. Role Description As a Data Steward you will lead the team responsible for the day-to-day compliance with the Enterprise Data Risk Management Policy within their domains/business units. You and your team are responsible for identifying critical data, maintaining data definitions, classifying data, supporting data sourcing / usage requests, evaluating Data Risk Controls, and confirming Data Incidents are remediated. You will partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, monitor and manage data risks, resolve data/platform issues, and drive consistency, usability, and governance of specific product data across the organization. Primary Responsibilities: Advance the established data governance principles, policies, and programs for stewardship, advocacy and custodianship of data Manage all Data Risks for the business unit, in coordination with relevant supporting roles, as described in the Enterprise Data Risk Management Policy Understanding, complying, and executing their role and responsibilities as defined under the Enterprise Data Risk Management Policy Establishing, maintaining, and testing the effectiveness of controls to manage data risk within the established Data Risk Appetite limits for their Business Unit Facilitate Data Incident capture and coordination by planning Data Incident remediation activities, monitoring Data Incident status for reporting, and support testing and validation Coordinate with Business Units and other Business Unit Data Offices to ensure System level Lineage is documented completely and accurately Collaborate with data owners and users to modify or implement new repeatable and reliable business processes to implement truly effective data management Partner with Third-Party Risk Management to monitor and validate that Third Parties adhere to Enterprise Data Risk Management requirements Harmonize key policies and guidelines (e.g. Data Quality, Data Definition, Data Creation, Data Sharing, Data Usage policies) with the processes necessary to carry out those policies, in collaboration with multi-functional partners Develop and produce key metrics scorecards and program status communications for the full suite of teams within Data Office Qualifications: Bachelor’s degree in business, analytics, information systems, computer science, engineering, or any other data-related field. Master Degree preferred . 8+ years of direct work experience in large scale/enterprise data projects, with at least 4 years of direct experience relating to creation and execution of formal data governance and/or data management programs Consistent record of understanding business challenges and strategies and connecting those to data and capabilities Strong working knowledge of current and upcoming data governance, data management and data product techniques and trends, with a point of view on the evolving concepts and standard methodologies Senior level program management experience, with partners across a diverse, global set of business units Demonstrable experience of driving meaningful improvements in business value through data management and strategy Ability to work with white space to design and complete solutions to solve sophisticated challenges. High-caliber communication skills, both in terms of preparing and delivering a strategic vision and updates to large groups and senior leader Ability to put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders Demonstrated learning agility, ability to make decisions quickly and with the highest level of integrity Eagerness to test, learn, fail and improve is crucial Must have a positive, collaborative leadership style with colleague and customer first attitude Certification as a Data Management Professional (CDMP) or other similar data management certification preferred. Certifications and experience working within the Collibra Data Intelligence Platform, MANTA, or other similar Data Governance tools preferred. Incident management and reporting, risk/data risk management, data architecture, data breach management, data classification and handling, data quality monitoring and improvement, and data governance/compliance management experience preferred We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

JOB RESPONSIBILITIES: The job entails you to work with our clients and partners to design, define, implement, roll-out, and improve Data Quality that leverage various tools available in the market for example: Informatica IDQ or SAP DQ or SAP MDG or Collibra DQ or Talend DQ or Custom DQ Solution and/or other leading platform for the client’s business benefit. The ideal candidate will be responsible for ensuring the accuracy, completeness, consistency, and reliability of data across systems. You will work closely with data engineers, analysts, and business stakeholders to define and implement data quality frameworks and tools. As part of your role and responsibilities, you will get the opportunity to be involved in the entire business development life-cycle:  Meet with business individuals to gather information and analyze existing business processes, determine and document gaps and areas for improvement, prepare requirements documents, functional design documents, etc. To summarize, work with the project stakeholders to identify business needs and gather requirements for the following areas: Data Quality and/or Data Governance or Master Data  Follow up of the implementation by conducting training sessions, planning and executing technical and functional transition to support team.  Ability to grasp business and technical concepts and transform them into creative, lean, and smart data management solutions.  Development and implementation of Data Quality solution in any of the above leading platform-based Enterprise Data Management Solutions o Assess and improve data quality across multiple systems and domains. o Define and implement data quality rules, metrics, and dashboards. o Perform data profiling, cleansing, and validation using industry-standard tools. o Collaborate with data stewards and business units to resolve data issues. o Develop and maintain data quality documentation and standards. o Support data governance initiatives and master data management (MDM). o Recommend and implement data quality tools and automation strategies. o Conduct root cause analysis of data quality issues and propose remediation plans. o Implement/Take advantage of AI to improve/automate Data Quality solution o Leveraging SAP MDG/ECCs experience the candidate is able to deep dive to do root cause analysis for assigned usecases. Also able to work with Azure data lake (via dataBricks) using SQL/Python. o Data Model (Conceptual and Physical) will be needed to be identified and built that provides automated mechanism to monitor on going DQ issues. Multiple workshops may also be needed to work through various options and identifying the one that is most efficient and effective o Works with business (Data Owners/Data Stewards) to profile data for exposing patterns indicating data quality issues. Also is able to identify impact to specific CDEs deemed important for each individual business. o Identifies financial impacts of Data Quality Issue. Also is able to identify business benefit (quantitative/qualitative) from a remediation standpoint along with managing implementation timelines. o Schedules regular working groups with business that have identified DQ issues and ensures progression for RCA/Remediation or for presenting in DGFs o Identifies business DQ rules basis which KPIs/Measures are stood up that feed into the dashboarding/workflows for BAU monitoring. Red flags are raised and investigated o Understanding of Data Quality value chain, starting with Critical Data Element concepts, Data Quality Issues, Data Quality KPIs/Measures is needed. Also has experience owing and executing Data Quality Issue assessments to aid improvements to operational process and BAU initiatives o Highlights risk/hidden DQ issues to Lead/Manager for further guidance/escalation o Communication skills are important in this role as this is outward facing and focus has to be on clearly articulation messages. o Support designing, building and deployment of data quality dashboards via PowerBI o Determines escalation paths and constructs workflow and alerts which notify process and data owners of unresolved data quality issues o Collaborates with IT & analytics teams to drive innovation (AI, ML, cognitive science etc.) o Works with business functions and projects to create data quality improvement plans o Sets targets for data improvements / maturity. Monitors and intervenes when sufficient progress is not being made o Supports initiatives which are driving data clean-up of existing data landscape JOB REQUIREMENTS: i. Education or Certifications:  Bachelor's / Master's degree in engineering/technology/other related degrees.  Relevant Professional level certifications from Informatica or SAP or Collibra or Talend or any other leading platform/tools  Relevant certifications from DAMA, EDM Council and CMMI-DMM will be a bonus ii. Work Experience:  You have 4-10 years of relevant experience within the Data & Analytics area with major experience around data management areas: ideally in Data Quality (DQ) and/or Data Governance or Master Data using relevant tools  You have an in-depth knowledge of Data Quality and Data Governance concepts, approaches, methodologies and tools  Client-facing Consulting experience will be considered a plus iii. Technical and Functional Skills:  Hands-on experience in any of the above DQ tools in the area of enterprise Data Management preferably in complex and diverse systems environments  Exposure to concepts of data quality – data lifecycle, data profiling, data quality remediation(cleansing, parsing, standardization, enrichment using 3 rd party plugins etc.) etc.  Strong understanding of data quality best practices, concepts, data quality management frameworks and data quality dimensions/KPIs  Deep knowledge on SQL and stored procedure  Should have strong knowledge on Master Data, Data Governance, Data Security  Prefer to have domain knowledge on SAP Finance modules  Good to have hands on experience on AI use cases on Data Quality or Data Management areas  Prefer to have the concepts and hands on experience of master data management – matching, merging, creation of golden records for master data entities  Strong soft skills like inter-personal, team and communication skills (both verbal and written)

At American Express, our culture is built on a 175-year history of innovation, shared values and leadership behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Team Description The Global Merchant & Network Services (GMNS) organization is responsible for managing relationships with millions of Merchants and Partners around the world that facilitate American Express acceptance and enabling the day-to-day operations of our company’s payment network. The people, processes, and technology that support this vital function are evolving to improve the merchant experience and economics. Within GMNS, the Global Strategy, Operations & Performance (GSOP) team’s mission is to deliver a best-in-class premium merchant member experience that will get merchant to not only accept American Express but openly welcome and recommend us to their customers. The GMNS Data Office is responsible for bringing GMNS critical data elements and applications under the Enterprise Data Management Operating Policy (AEMP70) and Enterprise Data Risk Management Policy (AEMP79) compliance. Our team is dedicated to helping American Express leverage the true value of data through application of Data Management and Governance principles. Role Description As a Data Steward you will lead the team responsible for the day-to-day compliance with the Enterprise Data Risk Management Policy within their domains/business units. You and your team are responsible for identifying critical data, maintaining data definitions, classifying data, supporting data sourcing / usage requests, evaluating Data Risk Controls, and confirming Data Incidents are remediated. You will partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, monitor and manage data risks, resolve data/platform issues, and drive consistency, usability, and governance of specific product data across the organization. Primary Responsibilities: Advance the established data governance principles, policies, and programs for stewardship, advocacy and custodianship of data Manage all Data Risks for the business unit, in coordination with relevant supporting roles, as described in the Enterprise Data Risk Management Policy Understanding, complying, and executing their role and responsibilities as defined under the Enterprise Data Risk Management Policy Establishing, maintaining, and testing the effectiveness of controls to manage data risk within the established Data Risk Appetite limits for their Business Unit Facilitate Data Incident capture and coordination by planning Data Incident remediation activities, monitoring Data Incident status for reporting, and support testing and validation Coordinate with Business Units and other Business Unit Data Offices to ensure System level Lineage is documented completely and accurately Collaborate with data owners and users to modify or implement new repeatable and reliable business processes to implement truly effective data management Partner with Third-Party Risk Management to monitor and validate that Third Parties adhere to Enterprise Data Risk Management requirements Harmonize key policies and guidelines (e.g. Data Quality, Data Definition, Data Creation, Data Sharing, Data Usage policies) with the processes necessary to carry out those policies, in collaboration with multi-functional partners Develop and produce key metrics scorecards and program status communications for the full suite of teams within Data Office Qualifications: Bachelor’s degree in business, analytics, information systems, computer science, engineering, or any other data-related field. Master Degree preferred . 8+ years of direct work experience in large scale/enterprise data projects, with at least 4 years of direct experience relating to creation and execution of formal data governance and/or data management programs Consistent record of understanding business challenges and strategies and connecting those to data and capabilities Strong working knowledge of current and upcoming data governance, data management and data product techniques and trends, with a point of view on the evolving concepts and standard methodologies Senior level program management experience, with partners across a diverse, global set of business units Demonstrable experience of driving meaningful improvements in business value through data management and strategy Ability to work with white space to design and complete solutions to solve sophisticated challenges. High-caliber communication skills, both in terms of preparing and delivering a strategic vision and updates to large groups and senior leader Ability to put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders Demonstrated learning agility, ability to make decisions quickly and with the highest level of integrity Eagerness to test, learn, fail and improve is crucial Must have a positive, collaborative leadership style with colleague and customer first attitude Certification as a Data Management Professional (CDMP) or other similar data management certification preferred. Certifications and experience working within the Collibra Data Intelligence Platform, MANTA, or other similar Data Governance tools preferred. Incident management and reporting, risk/data risk management, data architecture, data breach management, data classification and handling, data quality monitoring and improvement, and data governance/compliance management experience preferred We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Job Title: Technical Project Manager Location: Mumbai Key Responsibilities 1. Program Delivery & Operational Oversight Lead the technical delivery lifecycle for Program Alps across Mumbai and Manila, with ownership of architecture-aligned execution, design validation, and engineering team coordination. Conduct daily stand-ups to align delivery goals with platform architecture, ensuring backlog items are technically viable and scalable. Proactively manage technical impediments, coordinating with Solution Architects, Platform Owners, and Chapter Leaders to resolve architecture, infra, or integration-related blockers. Drive alignment with deployment patterns, CI/CD pipelines, and cloud infrastructure standards used across PG. Act as TPM SPOC for incident response, root cause analysis (RCA), and continuous improvement planning across BUAP platforms. 2. Technical Governance & Reporting Create and present weekly technical status dashboards covering architecture progress, design reviews, risks, DevOps metrics, and incident trends. Lead and contribute to architecture design reviews, evaluating microservices dependencies, data flow models, and infra configurations. Manage Change Requests and SOW updates that involve architectural changes, integration strategy, or refactoring effort. Ensure delivery is aligned with PG’s reference architectures, security models (IAM, RBAC), data management principles, and regulatory standards. 3. Team & Engineering Management Oversee team onboarding, ensuring proper access to architecture diagrams, knowledge base, CI/CD tools (e.g., Jenkins/GitHub Actions), and data contracts. Guide engineers on design documentation standards, API specifications (Swagger/OpenAPI), logging practices, and usage of platform SDKs. Foster a DevOps and Agile mindset: mentor engineers on code review best practices, CI validation, cloud deployment standards, and post-deployment observability. Promote a strong engineering culture by organizing architecture knowledge sharing sessions, PG-stakeholder walkthroughs, and internal demo days. Note: The Technical Project Manager may also be required to play the role of Scrum master [Conduct sprint planning sessions, run retrospectives, lead grooming sessions and take up Agile ceremonies as required. 4. Strategic Resource & Technical Capacity Planning Maintain a skill matrix aligned with PG’s architecture roadmap – focusing on AWS, Snowflake, Kafka, Java, Python, React, ServiceNow, Collibra, etc. Plan for specialized roles like Solution Architects, Data Engineers, Integration Engineers, and Platform Reliability Engineers, based on ongoing and upcoming epics. Align with Straive’s Technical Excellence Group to provision SMEs for architecture validation, PoC ownership, and strategic delivery initiatives. 5. Stakeholder Communication & Cross-Functional Coordination Serve as a bridge between PG’s Enterprise Architects, Platform Engineering leads, and Straive delivery teams, translating strategic tech priorities into executable backlogs. Coordinate with stakeholders across Security, Data Governance, and Infrastructure teams to ensure compliance and platform alignment. Guide staffing discussions with clarity on technical skill gaps, onboarding readiness, and role-to-architecture fitment. 6. Agile & Architecture-Driven Program Management Champion Agile ceremonies with a technical lens – ensuring epics are architecture reviewed, JIRA stories carry relevant design annotations, and definition-of-done includes technical completeness. Own and monitor tech KPIs including velocity, defect leakage, architecture debt, release frequency, and infra usage metrics. Drive adherence to PG’s modular platform strategy, ensuring that all deliverables comply with standards for reusability, containerization, API versioning, and cloud-native deployments. Preferred Technical Acumen Strong grasp of enterprise architecture principles, system design, and integration patterns Experience with cloud platforms (AWS preferred) and infrastructure as code (IaC) Familiarity with data engineering workflows (ETL/ELT, Snowflake, Python, SQL) Ability to interpret and drive decisions from solution architecture diagrams, API specs, and data models Working knowledge of Agile tools (JIRA, Confluence), CI/CD pipelines, DevSecOps, and microservices monitoring (e.g., Datadog, ELK)

Summary Internal Title: Assoc. Dir. Dev. IT Data, Analytics, DS&AI #LI-Hybrid Location: Hyderabad, India Relocation Support: Yes Are you ready to lead data architecture that powers life-changing innovation? Join Novartis as an Associate Director in Development IT and help shape the future of drug development through impactful data architecture. In this highly collaborative role, you’ll partner with cross-functional teams—data leaders, engineers, architects, and business stakeholders—to design scalable, enterprise-grade data solutions. Your work will drive innovation, strengthen data governance, and accelerate decision-making across global initiatives. About the Role Key Responsibilities Define how data is stored, consumed, integrated, and managed across systems and teams Collaborate with enterprise data owners to shape and implement data strategy Develop and document conceptual and logical data models for business processes Ensure alignment with Novartis data architecture principles and enterprise standards Partner with solution architects to design compliant, scalable data solutions Track and report key performance indicators for data architecture deliverables Maintain domain-specific data landscapes and data flow documentation Lead data architecture reviews and provide recommendations for improvement Coordinate resources and priorities across critical data initiatives Engage stakeholders to drive adoption of data governance and architecture best practices Essential Requirements Bachelor’s degree in computer science, engineering, or information technology 12+ years of total experience, including 8+ years in data architecture leadership Proven expertise in data modeling, metadata, and data governance tools Strong experience aligning data architecture with business strategy and stakeholder communication Deep knowledge of data governance frameworks like DCAM and DAMA-DMBOK 5+ years of experience in the pharmaceutical or life sciences industry Hands-on experience with tools like Collibra, Informatica, Reltio, Tibco EBX, and SQL Strong interpersonal, communication, and time management skills aligned with Novartis values Commitment to Diversity and Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message . Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division Operations Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Technology Transformation Job Type Full time Employment Type Regular Shift Work No

Project Role : Data Governance Practitioner Project Role Description : Establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Must have skills : Collibra Data Governance Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Governance Practitioner, you will establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead data governance initiatives within the organization - Develop and implement data governance policies and procedures - Ensure compliance with data governance regulations and standards Professional & Technical Skills: - Must To Have Skills: Proficiency in Collibra Data Governance - Strong understanding of data governance principles - Experience in implementing data governance frameworks - Knowledge of data quality management practices - Familiarity with data privacy and security regulations Additional Information: - The candidate should have a minimum of 5 years of experience in Collibra Data Governance. - This position is based at our Hyderabad office. - A 15 years full time education is required. 15 years full time education

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Senior Associate Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary Are you looking for a technically challenging role? then we’ve one for you. We are looking for a seasoned software engineer to design and execute our platform migration from monolithic to microservice based architecture. In this role you’ll / Your main responsibilities You’ll be responsible for redesigning the application from present monolithic architecture to microservices based architecture, in the most efficient and scalable way. You’ll be owning the application migration from current platform to data driven streaming platform Responsibilities hybrid working model Level - Senior Associate Exp - 3 to 6 years BCBS239 work experience into Data Governance. Data analytical skills is a must. Collibra in and out experience. SQL and Power BI Advanced. Person should be up and running into making PDI's work (Priority Data initiatives). Below is the full JD- 4 Data Divisional Office: Services Required The team will support execution of prioritized data initiatives in compliance with the Global Data Policy and BCBS239 requirements across FRM via 1 Providing governance and advise risk coverage teams to identify and document risk data ownership, authority, sourcing, controls, and quality. 2 Review of controls including controls identified at dataset level. 3 Supporting documentation and cataloguing of information in the firmwide data catalogue, Collibra Experience Experience in risk management. Experience of a governance role (data quality governance preferred) Experience in review of controls (operational risk, audit)/control assessment (preferred) Desired Skills and Competencies Experience in data analysis and documentation. Experience with industry standard data cataloguing techniques (knowledge of Collibra preferred) Strong communication skills Key attention to detail Ability to work with multiple stakeholders, review and challenge with strong rationale. Good Excel and PowerPoint skills Education, Background & Experience Required Bachelor’s degree or equivalent Good understanding of risk management concepts and financial products, particularly with respect to commercial financial market data Qualifications Desired No specific additional qualifications required. Mandatory skill sets 4 Data Divisional Office: Services Required The team will support execution of prioritized data initiatives in compliance with the Global Data Policy and BCBS239 requirements across FRM via 1 Providing governance and advise risk coverage teams to identify and document risk data ownership, authority, sourcing, controls, and quality. 2 Review of controls including controls identified at dataset level. 3 Supporting documentation and cataloguing of information in the firmwide data catalogue, Collibra Preferred skill sets Experience in investment banking is must Years of experience required 3 to 6 years of experience Education Qualification MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Business Analysis Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Financial Accounting, Financial Audit {+ 24 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Senior Associate Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary Are you looking for a technically challenging role? then we’ve one for you. We are looking for a seasoned software engineer to design and execute our platform migration from monolithic to microservice based architecture. In this role you’ll / Your main responsibilities You’ll be responsible for redesigning the application from present monolithic architecture to microservices based architecture, in the most efficient and scalable way. You’ll be owning the application migration from current platform to data driven streaming platform Responsibilities hybrid working model Level - Senior Associate Exp - 3 to 6 years BCBS239 work experience into Data Governance. Data analytical skills is a must. Collibra in and out experience. SQL and Power BI Advanced. Person should be up and running into making PDI's work (Priority Data initiatives). Below is the full JD- 4 Data Divisional Office: Services Required The team will support execution of prioritized data initiatives in compliance with the Global Data Policy and BCBS239 requirements across FRM via 1 Providing governance and advise risk coverage teams to identify and document risk data ownership, authority, sourcing, controls, and quality. 2 Review of controls including controls identified at dataset level. 3 Supporting documentation and cataloguing of information in the firmwide data catalogue, Collibra Experience Experience in risk management. Experience of a governance role (data quality governance preferred) Experience in review of controls (operational risk, audit)/control assessment (preferred) Desired Skills and Competencies Experience in data analysis and documentation. Experience with industry standard data cataloguing techniques (knowledge of Collibra preferred) Strong communication skills Key attention to detail Ability to work with multiple stakeholders, review and challenge with strong rationale. Good Excel and PowerPoint skills Education, Background & Experience Required Bachelor’s degree or equivalent Good understanding of risk management concepts and financial products, particularly with respect to commercial financial market data Qualifications Desired No specific additional qualifications required. Mandatory skill sets 4 Data Divisional Office: Services Required The team will support execution of prioritized data initiatives in compliance with the Global Data Policy and BCBS239 requirements across FRM via 1 Providing governance and advise risk coverage teams to identify and document risk data ownership, authority, sourcing, controls, and quality. 2 Review of controls including controls identified at dataset level. 3 Supporting documentation and cataloguing of information in the firmwide data catalogue, Collibra Preferred skill sets Experience in investment banking is must Years of experience required 3 to 6 years of experience Education Qualification MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Business Analytics Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Financial Accounting, Financial Audit {+ 24 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Join our team and you will have the opportunity to work in a dynamic and collaborative environment. Our team ensures data standards, quality, and governance whilst handling data integration, migration, trend analysis, and troubleshooting. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 34 markets and with 55 years of unbroken profitability. You will be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. In this role, you will collaborate with finance and tech teams to maintain high-quality data and support daily commodities and fixed income finance initiatives. You will be the point of contact for various teams and stakeholders, responsible for identifying, escalating, and documenting questions. Additionally, you will analyze data to deliver actionable insights and develop strong relationships with various stakeholders. What You Offer: - Bachelors or masters degree in computer science, data science, finance, or related field with a minimum experience of 2 years. - Experience in handling financial data for structured derivative, fixed income, financing, and structured products as well as managing setup and configuration of financial, product, and deal lineage data. - Practical and demonstrative knowledge of data and analytical techniques. - Experience in data analysis or engineering and proficiency in Microsoft Excel and SQL. - Experience in Python, Collibra, Dataiku, PowerBI, Tableau, and data quality management is advantageous. We love hearing from anyone inspired to build a better future with us. If you're excited about the role or working at Macquarie, we encourage you to apply. About Financial Management, People and Engagement: Financial Management, People, and Engagement (FPE) provides a single interface for Macquaries businesses across key areas of people, strategy, communications, and financial management. Comprising two pillars - Financial Management, and People and Engagement - it is responsible for managing the Group's financial, tax, and treasury activities and strategic priorities, fostering our culture through people and community engagement strategies, and engaging with stakeholders to protect and promote Macquarie's reputation globally. Our commitment to diversity, equity, and inclusion: Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.,

At Mr. Cooper Group, You Make the Dream Possible. Our purpose is simple: Keeping the dream of homeownership alive. As a Mr. Cooper Group team member, you play a big role in making that dream possible. Around here, we know our roles and work together, volunteer to make a difference, and challenge the status quo when needed. Everything we do is in the care and service of our teammates and our customers. Join us and make the dream of home ownership possible! Key Responsibilities: Develop and implement enterprise-level data quality and governance strategies aligned with business objectives. Establish data quality KPIs, policies, and frameworks across pipelines in Azure, Databricks, SQL, Mongo, and BI tools like Power BI, Tableau, and SSRS. Build and maintain robust data quality monitoring processes and automated validation rules. Collaborate with data engineers , data scientist and architects to embed quality checks in ETL/ELT pipelines and data lakehouse structures. Lead initiatives to identify data issues, perform root cause analysis, and recommend corrective actions. Define metadata standards, data profiling methods, and data lineage documentation practices. Partner with business units to create and enforce data ownership, stewardship, and usage standards. Establish clear data SLAs and ensure ongoing compliance across reporting and analytics systems. Evaluate and implement tools and technologies to support scalable and automated data quality solutions. Support regulatory and audit needs by ensuring data traceability and compliance readiness. Preferred Qualifications: 8+ years of experience in data quality, data governance, or data management roles. Strong hands-on experience with Azure Data Services (Data Factory, Synapse, Data Lake, etc.) and Databricks. Proficient in SQL and experience working with large-scale relational and analytical data stores. Familiarity with Power BI, Tableau, and SSRS for reporting and analytics. Experience defining and measuring data quality metrics and KPIs. Proven ability to design and enforce data governance frameworks. Strong stakeholder management and communication skills with both technical and business audiences. Prior leadership or mentoring experience in building and scaling data quality functions is a plus. Nice to Have: Exposure to data cataloging tools like Purview, Collibra, or Alation. Experience working in regulated or compliance-heavy industries. Familiarity with ML-based data anomaly detection or AI-driven governance tools. Mr. Cooper Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a protected veteran. EOE/M/F/D/V Job Requisition ID: 024115 Job Category: Information Technology Primary Location City: Chennai Primary Location Region: Tamil Nadu Primary Location Postal Code: 600089 Primary Location Country: India Additional Posting Location(s):

As the Global DQ Application Lead at Bunge, you will be responsible for leading global Master Data quality programs and driving data cleansing projects across various data domains such as Material, Customer and Supplier, FI, and Supply chain related master data to enhance data quality and governance. Your role will involve developing DQ dashboards, executing critical projects, and upholding the highest level of established Bunge data governance and policies at regional and global levels. You will serve as a Data Quality Application/tools expert, particularly focusing on SAP Information Steward, and will collaborate with multiple stakeholders across regions and globally from Business, IT, and other departments to support and achieve mutually agreed outcomes in master data domains for project implementation and governance. Key functions of this role include leading and driving data quality programs, developing programs using business algorithms for end business users, monitoring adherence to data algorithms, working with Master Data Coordinator to resolve data quality issues, leading continuous improvement initiatives, and proactively analyzing business processes to address business needs innovatively and effectively. Specific to the department, you are required to have hands-on knowledge of key technologies such as Information Steward, Collibra, SQL, and MDG. You should possess excellent expertise in SAP Information Steward and SQL, along with experience in Data Dictionaries/taxonomy and Metadata management. Minimum requirements for this role include a B.Tech, BCA, or MCA education and a minimum of 5-8 years of professional data management experience leading SAP Information Steward, Collibra, SQL systems independently. Additionally, you should have at least 5 years of experience providing and supporting business solutions related to DQ, specifically in SAP Information Steward / SQL, and experience in FMCG / CPG organizations is preferable. You should be capable of working effectively in a virtual team environment that may operate across different distances, cultures, and time zones. Bunge, a global leader in sourcing, processing, and supplying oilseed and grain products and ingredients, offers sustainable products and opportunities to farmers and consumers worldwide. With headquarters in St. Louis, Missouri, and over 25,000 employees globally, Bunge operates more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities.,

You will be responsible for designing and optimizing scalable data pipeline architectures and supporting analytics needs across cross-functional teams as a Senior Data Engineer in Hyderabad. Your key responsibilities will include designing, building, and maintaining data pipelines using BigQuery, Python, and SQL, optimizing data flow, automating processes, and scaling infrastructure. You will also develop and manage workflows in Airflow/Cloud Composer and Ascend (or similar ETL tools), implement data quality checks and testing strategies, support CI/CD processes, conduct code reviews, and mentor junior engineers, as well as collaborate with QA/business teams and troubleshoot issues across environments. Your core skills should include proficiency in BigQuery, Python, SQL, Airflow/Cloud Composer, Ascend or similar ETL tools, data integration, warehousing, and pipeline orchestration, data quality frameworks, and incremental load strategies. Additionally, you should have strong experience with GCP or AWS serverless data warehouse environments. Preferred skills for this role include experience with DBT for transformation, Collibra for data governance, and working with unstructured datasets. The qualifications required for this position include a minimum of 5 years in data engineering, a graduate degree in CS, Statistics, or a related field, and strong analytical and SQL expertise.,

You should have a Bachelor's or Master's degree in computer/data science or related field, or equivalent technical experience. With a minimum of 7 years of hands-on experience in relational, dimensional, and/or analytic data modeling. Your expertise should include a strong command of SQL and practical experience working with databases such as Oracle, PostgreSQL, Snowflake, and Teradata. Your responsibilities will involve hands-on activities like modeling, design, configuration, installation, performance tuning, and sandbox Proof of Concept (POC). Proficiency in metadata management, data modeling, and related tools such as Erwin or ER Studio is essential. You should be experienced in data modeling, ER diagramming, and designing enterprise software for OLTP (relational) and analytical systems. It is crucial that you possess a solid understanding of data modeling principles, standard methodologies, semantic data modeling concepts, and multi-Fact models. You must be capable of defining data modeling standards, guidelines, and assisting teams in implementing complex data-driven solutions at a large scale globally. Your experience should also include supporting history handling, time series data warehousing, and data transformations through data modeling activities. Additionally, you should have the ability to quickly comprehend technological and business concepts, key domain entities, and communicate effectively with engineers, architects, and product management teams. Your role will involve assessing the accuracy, completeness, and consistency of data models while ensuring the maintenance of relevant documentation. Experience with data cataloging tools like Alation and Collibra to drive data lineage is preferred. A strong understanding of data governance processes and metadata repositories is also expected. You should be comfortable working in a fast-paced environment with short release cycles and an iterative development methodology, handling multiple projects simultaneously with minimal specifications. Having knowledge of Python and experience with Informatica would be considered advantageous for this position. Your excellent communication and documentation skills will be essential in this role.,

The position is responsible for supporting the Data Governance Office (DGO) in delivering best-in-class methodologies for designing and implementing the Data Quality Program. You will be supporting the design, development, and delivery by providing solutions for end-to-end implementation of the Data Quality platform in partnership with key Business and IT stakeholders. Your main responsibilities will include collecting and managing metadata, supporting the identification and management of Critical Data Elements, developing business rules and hypotheses for testing consistency of usage, assisting in Data Quality dashboard and to-do list requirements for monitoring and remediation, coordinating with Data Stewards for creating data quality controls and monitoring tools, and implementing Data Quality tools to deliver end-to-end Data Quality solutions. To excel in this role, you should have a BA/BS in Business Administration, Communications, Accounting, Computer Science, Finance, or related field with 2-4 years of experience in Data Quality implementation such as IDQ, AXON, or EDC. You should be well-versed in each stage of the data quality development cycle, proficient in creating different profiles and understanding profile results, skilled in writing complex SQL queries and Data Quality rules on Data Quality Platform, experienced in creating glossary, Catalogue, DQ Monitoring Projects, and integrating with tools like Collibra, Power BI, etc. Additionally, familiarity with UNIX or any scripting language and working with Data Governance tools like Ataccama will be beneficial. MetLife, recognized on Fortune magazine's list of the 2024 "World's Most Admired Companies" and Fortune Worlds 25 Best Workplaces for 2024, is one of the world's leading financial services companies. Operating in over 40 markets, MetLife provides insurance, annuities, employee benefits, and asset management services to individual and institutional customers globally. The company's purpose is to help colleagues, customers, communities, and the world create a more confident future. United by purpose and guided by empathy, MetLife aims to transform the next century in financial services. Join MetLife and be part of creating a more confident future together.,

Role : Data Governance Exp : 8+Yrs Location : Remote Pay (LPA) : 50 LPA Notice Period : 0-20 Days Only Payroll : Shimento End Client : Silicon valley bank JD : Data Governance Role (SVB) : Banking domain experience required Collibra certification preferred Collibra's operating model, asset model, or asset types. Workflow design or development within Collibra. Technical lineage or cataloguing (despite mentioning traceability diagrams). Custom integrations using Collibra’s REST API or any programming language for Collibra-related development.

Job description Company: Kiya.ai Work location Pune Work Mode: Hybrid Job details- Key Responsibilities: o Utilize Collibra to manage and maintain data governance workflows, metadata, and data cataloging. o Support the implementation and enhancement of data lineage within Collibra to provide clear visibility into data flow and dependencies. o Collaborate with data engineers, architects, and business stakeholders to document and validate data lineage across systems. o Analyze and map data movement from source to target systems ensuring accuracy and completeness. o Gather, review, and analyze business and technical requirements related to data governance and lineage projects. o Translate requirements into actionable tasks and ensure alignment with organizational data policies. o Take full ownership of assigned deliverables, ensuring timely and quality completion. o Track progress, identify risks, and proactively communicate status to stakeholders. o Manage end-to-end contract execution processes related to data governance initiatives, including vendor coordination, compliance checks, and documentation. o Ensure contractual obligations are met and escalate issues as necessary. o Work closely with cross-functional teams including IT, legal, compliance, and business units to support data governance objectives. o Prepare and present reports, dashboards, and documentation to stakeholders. ________________________________________ Qualifications: • Masters degree in computer science, Information Systems, Data Science, or related field. • Proven experience working with Collibra or similar data governance platforms. • Strong understanding of data lineage concepts and metadata management. • Experience in requirement gathering, analysis, and documentation. • Demonstrated ability to manage deliverables and take ownership of projects. • Familiarity with contract management and execution processes is a plus. • Excellent analytical, problem-solving, and communication skills. • Ability to work independently and collaboratively in a fast-paced environment. ________________________________________ Preferred Skills: • Knowledge of SQL, data modeling, and ETL processes. • Experience with data quality tools and frameworks. • Understanding of regulatory requirements related to data governance (e.g., GDPR, CCPA). • Project management experience or certifications (e.g., PMP, Agile) would be an additional skill.

What You Will Do: As a Data Governance Architect at Kanerika, you will play a pivotal role in shaping and executing the enterprise data governance strategy. Your responsibilities include: 1. Strategy, Framework, and Governance Operating Model - Develop and maintain enterprise-wide data governance strategies, standards, and policies. - Align governance practices with business goals like regulatory compliance and analytics readiness. - Define roles and responsibilities within the governance operating model. - Drive governance maturity assessments and lead change management initiatives. 2. Stakeholder Alignment & Organizational Enablement - Collaborate across IT, legal, business, and compliance teams to align governance priorities. - Define stewardship models and create enablement, training, and communication programs. - Conduct onboarding sessions and workshops to promote governance awareness. 3. Architecture Design for Data Governance Platforms - Design scalable and modular data governance architecture. - Evaluate tools like Microsoft Purview, Collibra, Alation, BigID, Informatica. - Ensure integration with metadata, privacy, quality, and policy systems. 4. Microsoft Purview Solution Architecture - Lead end-to-end implementation and management of Microsoft Purview. - Configure RBAC, collections, metadata scanning, business glossary, and classification rules. - Implement sensitivity labels, insider risk controls, retention, data map, and audit dashboards. 5. Metadata, Lineage & Glossary Management - Architect metadata repositories and ingestion workflows. - Ensure end-to-end lineage (ADF → Synapse → Power BI). - Define governance over business glossary and approval workflows. 6. Data Classification, Access & Policy Management - Define and enforce rules for data classification, access, retention, and sharing. - Align with GDPR, HIPAA, CCPA, SOX regulations. - Use Microsoft Purview and MIP for policy enforcement automation. 7. Data Quality Governance - Define KPIs, validation rules, and remediation workflows for enterprise data quality. - Design scalable quality frameworks integrated into data pipelines. 8. Compliance, Risk, and Audit Oversight - Identify risks and define standards for compliance reporting and audits. - Configure usage analytics, alerts, and dashboards for policy enforcement. 9. Automation & Integration - Automate governance processes using PowerShell, Azure Functions, Logic Apps, REST APIs. - Integrate governance tools with Azure Monitor, Synapse Link, Power BI, and third-party platforms. Required Qualifications: - 15+ years in data governance and management. - Expertise in Microsoft Purview, Informatica, and related platforms. - Experience leading end-to-end governance initiatives. - Strong understanding of metadata, lineage, policy management, and compliance regulations. - Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture. Job Type: Full-time Pay: ₹5,500,000.00 per year Benefits: Health insurance Internet reimbursement Life insurance Paid time off Provident Fund Schedule: Monday to Friday Work Location: In person

Experience with the data governance, data analysis, data mapping and data sourcing from multiple systems, data lineage Strong Communication (written and verbal) & critical decision making skills Finance Domain Experience (risk management or internal audit experience a plus) Strong Client Management skills Experience with the data governance, data analysis, data mapping and data sourcing from multiple systems Responsible for Creating, prioritizing, and maintaining a product / team backlog for Data Governance projects Experience with JIRA or equivalent Agile / Project management tools Ability to work Scrum Team and review test cases to confirm coverage of all data quality related requirements Experience collaborating with peer Product teams and coordinating with / understanding Stakeholder priorities ) related to Data Governance and Data quality a plus Experience with identification of Critical Data Elements (CDEs) and governance of data quality a plus Experience in Data Management tools, understanding of Data Linage, creation of Data Offerings, Data Concepts in OFM (Operating Facts Manger) applications a plus Experience in data models tools such as MagicDraw, Collibra to create data models and integrate with applications a plus Experience with Agile Product Owner role. SCRUM/Scaled Agile Framework (SAFE) exposure and SAFE PO certification a plus Experience with the data governance, data analysis, data mapping and data sourcing from multiple systems Responsible for Creating, prioritizing, and maintaining a product / team backlog for Data Governance projects Agile, JIRA, Bitbucket, Communication Skills

Designation - Data Governance Specialist Location: Pune Notice Periods : Immediate – 30 days. Mandatory Skill : SAP Master Data Governance (MDG), SAP Data Quality (DQ), Alation Data Quality(DQ)/ Alation Data Governance (DG)/ Alation Data Lineage, Integration/Certification. JOB RESPONSIBILITIES: The role of Data Governance Manager is a first level leadership position within the Finance Data Office's Data Management team. This is a pivotal role for setting up and driving the data governance framework, Data related principles and policies to create a culture of data accountability across all finance data domains. The role is responsible for leading and executing the data governance agenda including data definition, data ownership, data standards, data remediation and master data governance processes across Finance. Data governance manager is expected to partner with the wider data management team in improvement of data quality by implementing data monitoring solutions. The ideal candidate will have a proven track record in working with data governance platforms such as Alation or Collibra for SAP master data domains. This position will take accountability for defining and driving data governance aspects, including leading meetings and data governance forums with Data Stewards, Data Owners, Data Engineers, and other key stakeholders. Coordinating with Data Owners to enable identification of Critical data elements for SAP master Data - Supplier/Finance/Bank master. Develop and maintain a business-facing data glossary and data catalog for SAP master data (Supplier, Customer, Finance (GL, Cost Center, Profit Center etc), capturing data definitions, lineage, and usage for relevant SAP master Data Define Data governance framework: Develop and implement data governance policies, standards, and processes to ensure data quality, data management, and compliance for relevant SAP Master Data (Finance, Supplier and Customer Master Data) Conduct data quality assessments and implement corrective actions to address data quality issues. Collaborate with cross-functional teams to ensure data governance practices are integrated into all SAP relevant business processes. Data Cataloging and Lineage: Manage data cataloging and lineage to provide visibility into data assets, their origins, and transformations in SAP environment Facilitate governance forums, data domain councils, and change advisory boards to review data issues, standards, and continuous improvements. Responsible to prepare data documentation, including data models, process flows, governance policies, and stewardship responsibilities Collaboration: Work closely with IT, data management teams, and business units to implement data governance best practices and tools. Monitoring and Reporting: Monitor data governance activities, measure progress, and report on key metrics to senior management. Training and Awareness: Conduct training sessions and create awareness programs to promote data governance within the organization. Data structures and models: Demonstrate deep understanding of SAP (and other ERP system such as JD Edwards etc. ) master data structures such as Vendor, Customer, Cost center, Profit Center, GL Accounts etc. Data Policies: Collaborate and coordinate with respective pillar lead's to ensure necessary policies related to data privacy, data lifecycle management and data quality management are being developed JOB REQUIREMENTS: i. Education or Certifications: Bachelor's / Master's degree in engineering/technology/other related degrees. Relevant Professional level certifications from Informatica or SAP or Collibra or Alation or any other leading platform/tools Relevant certifications from DAMA, EDM Council and CMMI-DMM will be a bonus ii. Work Experience: You have 4-10 years of relevant experience within the Data & Analytics area with major experience around data management areas: ideally in Data Governance (DQ) and/or Data Quality or Master Data or Data Lineage using relevant tools like Informatica or SAP MDG or Collibra or Alation or any other market leading tools. You have an in-depth knowledge of Data Quality and Data Governance concepts, approaches, methodologies and tools Client-facing Consulting experience will be considered a plus

Job Role: -Data Quality(DQ) Specialist Experience: 7-12 years of relevant professional experience in Data Quality and/or Data Governance, Data Management, Data Lineage solution implementation. Location: Pune Notice-Immediate/Max 15 Days Work Mode- 5 days WFO JOB RESPONSIBILITIES: The job entails you to work with our clients and partners to design, define, implement, roll-out, and improve Data Quality that leverage various tools available in the market for example: Informatica IDQ or SAP DQ or SAP MDG or Collibra DQ or Talend DQ or Custom DQ Solution and/or other leading platform for the client’s business benefit. The ideal candidate will be responsible for ensuring the accuracy, completeness, consistency, and reliability of data across systems. You will work closely with data engineers, analysts, and business stakeholders to define and implement data quality frameworks and tools. As part of your role and responsibilities, you will get the opportunity to be involved in the entire business development life-cycle: Meet with business individuals to gather information and analyze existing business processes, determine and document gaps and areas for improvement, prepare requirements documents, functional design documents, etc. To summarize, work with the project stakeholders to identify business needs and gather requirements for the following areas: Data Quality and/or Data Governance or Master Data Follow up of the implementation by conducting training sessions, planning and executing technical and functional transition to support team. Ability to grasp business and technical concepts and transform them into creative, lean, and smart data management solutions. Development and implementation of Data Quality solution in any of the above leading platform-based Enterprise Data Management Solutions Assess and improve data quality across multiple systems and domains. Define and implement data quality rules, metrics, and dashboards. Perform data profiling, cleansing, and validation using industry-standard tools. Collaborate with data stewards and business units to resolve data issues. Develop and maintain data quality documentation and standards. Support data governance initiatives and master data management (MDM). Recommend and implement data quality tools and automation strategies. Conduct root cause analysis of data quality issues and propose remediation plans. Implement/Take advantage of AI to improve/automate Data Quality solution Leveraging SAP MDG/ECCs experience the candidate is able to deep dive to do root cause analysis for assigned usecases. Also able to work with Azure data lake (via dataBricks) using SQL/Python. Data Model (Conceptual and Physical) will be needed to be identified and built that provides automated mechanism to monitor on going DQ issues. Multiple workshops may also be needed to work through various options and identifying the one that is most efficient and effective Works with business (Data Owners/Data Stewards) to profile data for exposing patterns indicating data quality issues. Also is able to identify impact to specific CDEs deemed important for each individual business. Identifies financial impacts of Data Quality Issue. Also is able to identify business benefit (quantitative/qualitative) from a remediation standpoint along with managing implementation timelines. Schedules regular working groups with business that have identified DQ issues and ensures progression for RCA/Remediation or for presenting in DGFs Identifies business DQ rules basis which KPIs/Measures are stood up that feed into the dashboarding/workflows for BAU monitoring. Red flags are raised and investigated Understanding of Data Quality value chain, starting with Critical Data Element concepts, Data Quality Issues, Data Quality KPIs/Measures is needed. Also has experience owing and executing Data Quality Issue assessments to aid improvements to operational process and BAU initiatives Highlights risk/hidden DQ issues to Lead/Manager for further guidance/escalation Communication skills are important in this role as this is outward facing and focus has to be on clearly articulation messages. Support designing, building and deployment of data quality dashboards via PowerBI Determines escalation paths and constructs workflow and alerts which notify process and data owners of unresolved data quality issues Collaborates with IT & analytics teams to drive innovation (AI, ML, cognitive science etc.) Works with business functions and projects to create data quality improvement plans Sets targets for data improvements / maturity. Monitors and intervenes when sufficient progress is not being made Supports initiatives which are driving data clean-up of existing data landscape JOB REQUIREMENTS: i. Education or Certifications: Bachelor's / Master's degree in engineering/technology/other related degrees. Relevant Professional level certifications from Informatica or SAP or Collibra or Talend or any other leading platform/tools Relevant certifications from DAMA, EDM Council and CMMI-DMM will be a bonus ii. Work Experience: You have 4-10 years of relevant experience within the Data & Analytics area with major experience around data management areas: ideally in Data Quality (DQ) and/or Data Governance or Master Data using relevant tools You have an in-depth knowledge of Data Quality and Data Governance concepts, approaches, methodologies and tools Client-facing Consulting experience will be considered a plus iii. Technical and Functional Skills: Hands-on experience in any of the above DQ tools in the area of enterprise Data Management preferably in complex and diverse systems environments Exposure to concepts of data quality – data lifecycle, data profiling, data quality remediation(cleansing, parsing, standardization, enrichment using 3rd party plugins etc.) etc. Strong understanding of data quality best practices, concepts, data quality management frameworks and data quality dimensions/KPIs Deep knowledge on SQL and stored procedure Should have strong knowledge on Master Data, Data Governance, Data Security Prefer to have domain knowledge on SAP Finance modules Good to have hands on experience on AI use cases on Data Quality or Data Management areas Prefer to have the concepts and hands on experience of master data management – matching, merging, creation of golden records for master data entities Strong soft skills like inter-personal, team and communication skills (both verbal and written)

The role of Data Governance Manager is a first level leadership position within the Finance Data Office’s Data Management team. This is a pivotal role for setting up and driving the data governance framework, Data related principles and policies to create a culture of data accountability across all finance data domains. The role is responsible for leading and executing the data governance agenda including data definition, data ownership, data standards, data remediation and master data governance processes across Finance. Data governance manager is expected to partner with the wider data management team in improvement of data quality by implementing data monitoring solutions. The ideal candidate will have a proven track record in working with data governance platforms such as Alation or Collibra for SAP master data domains. This position will take accountability for defining and driving data governance aspects, including leading meetings and data governance forums with Data Stewards, Data Owners, Data Engineers, and other key stakeholders.  Coordinating with Data Owners to enable identification of Critical data elements for SAP master Data – Supplier/Finance/Bank master.  Develop and maintain a business-facing data glossary and data catalog for SAP master data (Supplier, Customer, Finance (GL, Cost Center, Profit Center etc), capturing data definitions, lineage, and usage for relevant SAP master Data  Define Data governance framework: Develop and implement data governance policies, standards, and processes to ensure data quality, data management, and compliance for relevant SAP Master Data (Finance, Supplier and Customer Master Data)  Conduct data quality assessments and implement corrective actions to address data quality issues.  Collaborate with cross-functional teams to ensure data governance practices are integrated into all SAP relevant business processes.  Data Cataloging and Lineage: Manage data cataloging and lineage to provide visibility into data assets, their origins, and transformations in SAP environment  Facilitate governance forums, data domain councils, and change advisory boards to review data issues, standards, and continuous improvements.  Responsible to prepare data documentation, including data models, process flows, governance policies, and stewardship responsibilities.  Collaboration: Work closely with IT, data management teams, and business units to implement data governance best practices and tools.  Monitoring and Reporting: Monitor data governance activities, measure progress, and report on key metrics to senior management.  Training and Awareness: Conduct training sessions and create awareness programs to promote data governance within the organization.  Data structures and models: Demonstrate deep understanding of SAP (and other ERP system such as JD Edwards etc.) master data structures such as Vendor, Customer, Cost center, Profit Center, GL Accounts etc.  Data Policies: Collaborate and coordinate with respective pillar lead’s to ensure necessary policies related to data privacy, data lifecycle management and data quality management are being developed JOB REQUIREMENTS: i. Education or Certifications:  Bachelor's / Master's degree in engineering/technology/other related degrees.  Relevant Professional level certifications from Informatica or SAP or Collibra or Alation or any other leading platform/tools  Relevant certifications from DAMA, EDM Council and CMMI-DMM will be a bonus ii. Work Experience:  You have 4-10 years of relevant experience within the Data & Analytics area with major experience around data management areas: ideally in Data Governance (DQ) and/or Data Quality or Master Data or Data Lineage using relevant tools like Informatica or SAP MDG or Collibra or Alation or any other market leading tools.  You have an in-depth knowledge of Data Quality and Data Governance concepts, approaches, methodologies and tools  Client-facing Consulting experience will be considered a plus iii. Technical and Functional Skills:  Hands-on experience in any of the above tools in the area of Enterprise Data Governance preferably in SAP or complex and diverse systems environments  Experience of implementing data governance in SAP environment both transactional and master data  Expert knowledge of data governance concepts around data definition and catalog, data ownership, data lineage, data policies and controls, data monitoring and data governance forums  Strong knowledge on SAP peripheral systems and good understanding of Upstream and downstream impact of master Data  Exposure to concepts of data quality – data lifecycle, data profiling, data quality remediation(cleansing, parsing, standardization, enrichment using 3 rd party plugins etc.) etc.  Strong understanding of data quality best practices, concepts, data quality management frameworks and data quality dimensions/KPIs  Deep knowledge on SQL and stored procedure  Should have strong knowledge on Master Data, Data Security  Prefer to have domain knowledge on SAP Finance modules  Good to have hands on experience on AI use cases on Data Quality or Data Governance or other Management areas  Prefer to have the concepts and hands on experience of master data management – matching, merging, creation of golden records for master data entities  Strong soft skills like inter-personal, team and communication skills (both verbal and written)  Prefer to have - Project management, Domain knowledge [Procurement, Finance, Customer], Business Acumen, Critical thinking, Story telling

Location: Bengaluru, KA, IN Company: ExxonMobil About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil’s affiliates in India ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India. What role you will play in our team UDO DPF Data Engineer will lean in and own the work, connect with others, be resourceful, engage in data communities, apply technical growth, bring enthusiasm and commitment. They will be essential part of a data squad, a small composition of data gurus specifically assigned to a capability, developing domain knowledge and understanding of the data within business workflows so that each and every data product is done right and delights the customer. City: Bengaluru, Karnataka What you will do Perform ETL, ELT operations and administration using modern tools, programming languages and systems securely and in accordance with enterprise data standards Assemble, model, transform large complex sets of data that meet non-functional and functional business requirements into a format that can be analyzed Automate data processing of data from multiple data sources Develop, deploy and version control code for data consumption, reuse for APIs Employ machine learning techniques to create and sustain data structures Perform root cause analysis on external and internal processes and data to identify opportunities for improvement, resolve data quality issues Lead data-related workshops with stakeholders to capture data requirements and acceptance criteria Mentorship & Coaching Jr data engineers by providing guidance on best practices in coding, data modeling, and pipeline design. Etc. About You Skills and Qualifications Minimum bachelor’s degree in: Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience Petroleum, Chemical, Mechanical, Civil/construction Engineering is acceptable given appropriate work experience 5 or more years performing duties related to data engineering Expert proficiency in at least one of these programming languages: Python(Must), NoSQL, SQL, R, and competent in source code management Build processes supporting data transformation, data structures, metadata, dependency, and workload management Create data validation methods and data analysis tools Preferred Qualifications/ Experience Excellent problem-solving skills and ability to learn through scattered resources Automate routine tasks via scripts, code Capacity to successfully manage a pipeline of duties with minimal supervision Experience supporting and working with cross-functional teams in a dynamic environment Modify existing reports, extracts, dashboards, and cubes as necessary Commitment to operations integrity and ability to hold self and others accountable for results Data Governance skills: Data Quality Management, Metadata Management, Data Lineage & Provenance, Master Data Management (MDM), Data Cataloging Tools Experience with tools like Collibra, Alation, Azure Purview, Informatica, or Google. Data Catalog, Data Classification & Tagging Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships. Job Segment: Sustainability, Construction, Construction Engineer, CSR, Database, Energy, Engineering, Management, Technology

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil’s affiliates in India ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India. What role you will play in our team UDO DPF Data Engineer will lean in and own the work, connect with others, be resourceful, engage in data communities, apply technical growth, bring enthusiasm and commitment. They will be essential part of a data squad, a small composition of data gurus specifically assigned to a capability, developing domain knowledge and understanding of the data within business workflows so that each and every data product is done right and delights the customer. City: Bengaluru, Karnataka What you will do Perform ETL, ELT operations and administration using modern tools, programming languages and systems securely and in accordance with enterprise data standards Assemble, model, transform large complex sets of data that meet non-functional and functional business requirements into a format that can be analyzed Automate data processing of data from multiple data sources Develop, deploy and version control code for data consumption, reuse for APIs Employ machine learning techniques to create and sustain data structures Perform root cause analysis on external and internal processes and data to identify opportunities for improvement, resolve data quality issues Lead data-related workshops with stakeholders to capture data requirements and acceptance criteria Mentorship & Coaching Jr data engineers by providing guidance on best practices in coding, data modeling, and pipeline design. Etc. About You Skills and Qualifications Minimum bachelor’s degree in: Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience Petroleum, Chemical, Mechanical, Civil/construction Engineering is acceptable given appropriate work experience 5 or more years performing duties related to data engineering Expert proficiency in at least one of these programming languages: Python(Must), NoSQL, SQL, R, and competent in source code management Build processes supporting data transformation, data structures, metadata, dependency, and workload management Create data validation methods and data analysis tools Preferred Qualifications/ Experience Excellent problem-solving skills and ability to learn through scattered resources Automate routine tasks via scripts, code Capacity to successfully manage a pipeline of duties with minimal supervision Experience supporting and working with cross-functional teams in a dynamic environment Modify existing reports, extracts, dashboards, and cubes as necessary Commitment to operations integrity and ability to hold self and others accountable for results Data Governance skills: Data Quality Management, Metadata Management, Data Lineage & Provenance, Master Data Management (MDM), Data Cataloging Tools Experience with tools like Collibra, Alation, Azure Purview, Informatica, or Google. Data Catalog, Data Classification & Tagging Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

As an ideal candidate for this role, you should have 1-9 years of experience in data governance frameworks, master data management principles, policies, and compliance. Your primary responsibility will be to resolve data quality issues efficiently. Your technical expertise should include a strong proficiency in SQL and hands-on experience with data governance tools such as Collibra, Alation, and Informatica. This position is focused on the safety, health, environmental, or risk management & reporting domains, specifically in the Petro-technical field. Therefore, a background in Geology, Geophysics, Geosciences, or Petroleum Engineering would be highly beneficial for this role.,