2326 Data Governance Jobs - Page 26

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that solutions are effectively implemented across multiple teams, while maintaining a focus on quality and efficiency in application delivery. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool.- Strong understanding of data governance principles and practices.- Experience with application lifecycle management.- Ability to analyze and optimize business processes.- Familiarity with integration techniques and tools. Additional Information:- The candidate should have minimum 12 years of experience in SAP Master Data Governance MDG Tool.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Stibo Product Master Data Management Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive successful project outcomes. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Your role will be pivotal in shaping the direction of application projects and ensuring that they meet the needs of the organization. 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.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and implement necessary adjustments to ensure timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Stibo Product Master Data Management.- Strong understanding of data governance principles and practices.- Experience with application design and architecture.- Ability to analyze complex data sets and derive actionable insights.- Familiarity with project management methodologies and tools. Additional Information:- The candidate should have minimum 5 years of experience in Stibo Product Master Data Management.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Collibra Data Governance Good to have skills : Machine LearningMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with teams to develop innovative solutions and ensure seamless application functionality. 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 the implementation of new technologies for enhanced application performance- Conduct regular code reviews and provide constructive feedback to team members- Stay updated on industry trends and best practices to drive continuous improvement Professional & Technical Skills: - Must To Have Skills: Proficiency in Collibra Data Governance- Good To Have Skills: Experience with Machine Learning- Strong understanding of data governance principles and best practices- Hands-on experience in implementing data governance solutions- Ability to analyze complex data sets and derive actionable insights- Excellent communication and interpersonal skills for effective collaboration Additional Information:- The candidate should have a minimum of 7.5 years of experience in Collibra Data Governance- This position is based at our Mumbai office- A 15 years full-time education is required Qualification 15 years full time education

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Alteryx Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. 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 solution architecture design.- Implement data governance policies and procedures.- Optimize data storage and retrieval processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Alteryx.- Strong understanding of data modeling and database design.- Experience with data integration tools and techniques.- Knowledge of data warehousing concepts.- Hands-on experience with SQL and scripting languages. Additional Information:- The candidate should have a minimum of 5 years of experience in Alteryx.- This position is based at our Mumbai office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Workday Talent Management Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will collaborate with teams to ensure successful project delivery and implementation. 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 the design and development of new features- Conduct code reviews and provide feedback to team members- Stay updated on industry trends and best practices Professional & Technical Skills: - Must To Have Skills: Proficiency in Workday Talent Management- Strong understanding of HR processes and workflows- Experience in integrating Workday with other systems- Knowledge of Workday security and data governance- Hands-on experience in configuring Workday modules Additional Information:- The candidate should have a minimum of 5 years of experience in Workday Talent Management- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

About The Role Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Reltio Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also participate in discussions to ensure that the data models align with the overall data strategy and governance policies, facilitating a seamless flow of information across the organization. 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.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Develop and maintain comprehensive documentation of data models and architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Reltio.- Good To Have Skills: Experience with data integration tools.- Strong understanding of data modeling techniques and best practices.- Familiarity with data governance frameworks and data quality management.- Experience in working with relational and non-relational databases. Additional Information:- The candidate should have minimum 5 years of experience in Reltio.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : Workday HCM Security, Workday Core Integrations, Workday HCM Testing Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : Mandatory to have Workday Related certification15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. You will play a crucial role in shaping the functionality and user experience of the applications. 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 the design and development of Workday Core HCM applications- Conduct testing and quality assurance for Workday Core Integrations- Provide technical guidance and support to the team Professional & Technical Skills: - Must Have Skills: Proficiency in Workday HCM Security- Strong understanding of HR processes and systems- Experience in designing and implementing Workday HCM solutions- Knowledge of Workday integration tools and technologies- Hands-on experience in Workday HCM testing- Familiarity with Workday security and data governance Additional Information:- The candidate should have a minimum of 7.5 years of experience in Workday HCM Security- This position is based at our Bengaluru office- A Workday Related certification is required Qualification Mandatory to have Workday Related certification15 years full time education

About The Role 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 : NAMinimum 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. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Workday HCM Security, workday Journey Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : Mandatory to have Workday Related certification15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will collaborate with teams to ensure successful project delivery and contribute to key decisions. 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 and mentor junior professionals- Stay updated on industry trends and best practices- Conduct regular knowledge sharing sessions within the team Professional & Technical Skills: - Must To Have Skills: Proficiency in Workday Core HCM, Mandatory to have Workday Related certification- Strong understanding of HR processes and workflows- Experience in Workday integrations and custom report development- Knowledge of Workday security and data governance- Hands-on experience in Workday configuration and implementation Additional Information:- The candidate should have a minimum of 5 years of experience in Workday Core HCM- This position is based at our Bengaluru office- A mandatory Workday Related certification is required Qualification Mandatory to have Workday Related certification15 years full time education

About The Role 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 : Snowflake Data Warehouse Good to have skills : NAMinimum 3 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. Your typical day will involve collaborating with key stakeholders to define data standards, facilitating effective data collection, storage, access, and usage, and driving data stewardship initiatives for comprehensive and effective data governance. You will engage in discussions that shape the data landscape of the organization, ensuring that data practices align with established policies and standards. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of data governance frameworks and policies.- Monitor compliance with data governance policies and report on data quality metrics. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data governance principles and best practices.- Experience with data quality assessment and improvement techniques.- Familiarity with data management tools and technologies.- Ability to communicate complex data concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 3 years of experience in Snowflake Data Warehouse.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

We are looking forward to hire Data Modelling Professionals in the following areas : Experience 8-10 Years Creation of logical and physical data models along with accurate metadata for the Data warehousing Solutions Create conceptual data model to identify key business entities and visualize their relationships. Experience with Erwin or relevant data modelling tools to generate logical and phyiscal data models on Azure platform Perform data profiling/analysis activities that helps to establish, modify and maintain data model. Communicate physical database designs and dba and explains features that may affect the physical data model. Work closely with business and dev teams to translate the business/functional requirements into technical specifications that drive Big Data solutions to meet functional requirements. Present and communicate modeling results and recommendations to internal stakeholders. Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture. Regularly engage and consult stakeholders on solving business problems through data, guiding the conversation rather than following orders. Analyze data-related system integration challenges and propose appropriate solutions with strategic approach. Ensure compliance with data governance and security policies Collaborate internationally with various stakeholders. Engage with clients to clarify inbound research requests. Contribute to coordination and planning of Cloud Infrastructure related activities / outages Performance tuning using caches and parallel execution using bulk loading and dataflow execution Lead a team to deliver the expected business results Mentor Junior consultants in team and provide assistance in case needed Build, test, and maintain database pipeline architectures and collaborate with management to understand company objectives Ensure compliance with data governance and security policies Work closely with business and dev teams to translate the business/functional requirements into technical specifications that drive Big Data solutions to meet functional requirements. Must have one of the domain knowledge (Manufacturing, sales, supply chain, finance) Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

About The Role Skill required: Data Management - PySpark Designation: Data Eng, Mgmt & Governance Assoc Mgr Qualifications: BE/BTech Years of Experience: 10 to 14 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Visit us at www.accenture.com.Understand Pyspark interface and integration in handling complexities of multiprocessing, such as distributing the data, distributing code and collecting output from the workers on a cluster of machines. What are we looking for PySpark AWS Architecture Adaptable and flexible Strong analytical skills Prioritization of workload Ability to manage multiple stakeholders Problem-solving skills Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally, interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification BE,BTech

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that solutions are effectively implemented across multiple teams, while maintaining a focus on quality and efficiency in application delivery. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool.- Strong understanding of data governance principles and practices.- Experience with application lifecycle management.- Ability to analyze and optimize business processes.- Familiarity with integration techniques and tools. Additional Information:- The candidate should have minimum 12 years of experience in SAP Master Data Governance MDG Tool.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Informatica Data Quality Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with team members to enhance data workflows and contribute to the overall efficiency of data management practices within the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of data architecture to support data initiatives.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica Data Quality.- Strong understanding of data integration techniques and ETL processes.- Experience with data quality assessment and improvement methodologies.- Familiarity with data governance principles and best practices.- Ability to work with large datasets and perform data cleansing. Additional Information:- The candidate should have minimum 3 years of experience in Informatica Data Quality.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

We are Reckitt Human Resources About the role The Data Quality Analyst will support the successful implementation of BAU projects and changes by being accountable for mapping, monitoring and analytics of data against required set of data rules before upload to the HR system. The role will be responsible for supporting on organisational restructures, data uploads, imitation of job codes, analysis of data quality and general support of the Global Data Governance analyst activities as necessary. Your responsibilities Understand the business users requirements for specific projects Lead preparation of data requirements based on business demand understanding for uploads Mapping data where required Monthly data quality scorecard preparation Organising and transforming information into comprehensible structures Using tools and techniques to visualise data in easy-to-understand formats, such as diagrams and graphs Preparing reports and presentations to be used with internal business clients Monitoring data quality and support in fixing corrupt data Perform audits, as required, to ensure quality processes exist and are being adhered to. The experience were looking for Experience of excel and other reporting tools Experience and knowledge of SAP Success Factors Excellent communication skills with the ability to manage a range of stakeholders. Have a keen interest in data quality Be keen to try new things and develop innovative ideas to improve the data quality of the system Ability to work well in a team and manage your projects effectively. Excellent English language skills both verbal and written. A keen eye for design and attention to detail. The skills for success What we offer

">MLOps Engineer 6-10 Years Bengaluru ML About the Role We are seeking a highly experienced and innovative Senior Machine Learning Engineer to join our AI/ML team. In this role, you will lead the design, development, deployment, and monitoring of scalable machine learning solutions using GCP Vertex AI , MLflow , and other modern ML tools. You ll work closely with data scientists, engineers, and product teams to bring intelligent systems into production that drive real business impact. Key Responsibilities Design, develop, and deploy end-to-end machine learning models in production environments using GCP Vertex AI Manage the full ML lifecycle including data preprocessing, model training, evaluation, deployment, and monitoring Implement and maintain MLflow pipelines for experiment tracking, model versioning, and reproducibility Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions Optimize model performance and scalability using best practices in MLOps and cloud-native architecture Develop reusable components and frameworks to accelerate ML development and deployment Monitor deployed models for drift, performance degradation, and retraining needs Ensure compliance with data governance, security, and privacy standards Required Skills & Qualifications 6+ years of experience in machine learning engineering or applied data science Strong proficiency in Python , SQL , and ML libraries such as scikit-learn , TensorFlow , or PyTorch Hands-on experience with GCP Vertex AI for model training, deployment, and pipeline orchestration Deep understanding of MLflow for experiment tracking, model registry, and lifecycle management Solid grasp of MLOps principles and tools (e.g., CI/CD for ML, Docker, Kubernetes) Experience with cloud data platforms (e.g., BigQuery, Cloud Storage) and distributed computing Strong problem-solving skills and ability to work independently in a fast-paced environment Excellent communication skills and ability to explain complex ML concepts to non-technical stakeholders Preferred Qualifications Experience with other cloud platforms (AWS SageMaker, Azure ML) is a plus Familiarity with feature stores, model monitoring tools, and data versioning systems Contributions to open-source ML projects or publications in ML conferences

Key Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines in Snowflake to support data migration from legacy systems. Leverage Python for data transformation, automation, and orchestration of migration workflows. Optimize and refactor complex SQL queries to ensure efficient data processing and reporting in Snowflake. Collaborate on data modeling and schema design to align with Snowflake architecture and performance best practices. Monitor and troubleshoot data pipeline performance during and after migration phases. Work closely with data analysts, scientists, and business stakeholders to ensure accurate and timely data delivery. Implement and enforce data governance, security policies , and access controls within Snowflake. Collaborate with DevOps teams to integrate data engineering workflows into broader CI/CD frameworks. Required Skills: 4-5 years of experience in data engineering , with proven expertise in Snowflake and Python . Strong command of Snowflake features such as scripting, time travel, virtual warehouses, and query optimization. Hands-on experience with ETL tools , data integration strategies, and migration methodologies. Solid understanding of data warehousing principles , normalization techniques, and performance optimization. Familiarity with cloud platforms (AWS, Azure, or GCP) and orchestration tools. Excellent problem-solving skills and ability to work independently in a dynamic, fast-paced environment.

Exp required 7+ yrs with data governance informatica tool Key Responsibilities: Data Governance Framework Development : Develop, implement, and maintain data governance frameworks, policies, and standards to ensure high-quality, consistent, and secure data across the organization. Collaborate with business units and stakeholders to define and enforce data governance policies, ensuring alignment with business goals and regulatory requirements. Data Quality Management : Define and enforce data quality standards, monitoring key data quality metrics. Identify, analyze, and resolve data quality issues across various data sources and platforms. Work with cross-functional teams to implement data quality improvement initiatives. Data Lineage & Metadata Management : Implement and maintain data lineage and metadata management solutions to ensure visibility and traceability of data throughout its lifecycle. Work with data architects and engineers to establish and document data flows, transformations, and dependencies. Data Security & Compliance : Ensure that data governance practices comply with relevant regulatory requirements (e.g., GDPR, CCPA, HIPAA). Implement data security controls to protect sensitive data and manage access to sensitive information. Stakeholder Collaboration : Partner with data architects, data engineers, data scientists, and business analysts to ensure alignment between technical and business needs for data governance. Provide training and support for teams on data governance policies, best practices, and tools. Data Governance Tools & Technologies : Lead the implementation and optimization of data governance tools and platforms. Continuously evaluate emerging tools and technologies to improve data governance processes. Reporting & Documentation : Develop and maintain comprehensive data governance documentation and reports. Provide regular updates to senior management on the status of data governance initiatives, risks, and areas of improvement. Requirements: Experience : 7+ years of experience in data governance, data management, or related fields. Proven track record in implementing data governance frameworks and policies at an enterprise level. In-depth knowledge of data governance concepts, including data quality, data lineage, metadata management, and data security. Technical Skills : Experience with data governance tools such as Collibra, Informatica, Alation, or similar. Strong understanding of databases, data warehousing, and big data platforms (e.g., Hadoop, Spark). Familiarity with data integration, ETL processes, and data modeling. Proficiency in SQL and other scripting languages (e.g., Python, Shell). Regulatory Knowledge : Solid understanding of data privacy and compliance regulations (GDPR, CCPA, HIPAA, etc.). Ability to assess and mitigate compliance risks related to data handling. Soft Skills : Excellent communication and interpersonal skills. Strong problem-solving skills and the ability to collaborate across teams. Ability to manage multiple projects and deadlines in a fast-paced environment.

Client calls, guide towards optimized, cloud-native architectures, future state of their data platform, strategic recommendations and Microsoft Fabric integration. Desired Skills and experience Candidates should have a B.E./B.Tech/MCA/MBA in Finance, Information Systems, Computer Science or a related field 7+ years of experience as a Data and Cloud architecture with client stakeholders AZ Data Platform Expertise: Synapse, Databricks, Azure Data Factory (ADF), Azure SQL (DW/DB), Power BI (PBI). Define modernization roadmaps and target architecture. Strong understanding of data governance best practices for data quality, Cataloguing, and lineage. Proven ability to lead client engagements and present complex findings. Excellent communication skills, both written and verbal Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients Able to work independently without the needs for close supervision and collaboratively as part of cross-team efforts Experience with delivering projects within an agile environment Experience in project management and team management Key responsibilities include: Lead all interviews workshops to capture current/future needs. Direct the technical review of Azure (AZ) infrastructure (Databricks, Synapse Analytics, Power BI) and critical on-premises (on-prem) systems. Come up with architecture designs (Arch. Designs), focusing on refined processing strategies and Microsoft Fabric. Understand and refine the Data Governance (Data Gov.) roadmap, including data cataloguing (Data Cat.), lineage, and quality. Lead project deliverables, ensuring actionable and strategic outputs. Evaluate and ensure quality of deliverables within project timelines Develop a strong understanding of equity market domain knowledge Collaborate with domain experts and business stakeholders to understand business rules/logics Ensure effective, efficient, and continuous communication (written and verbally) with global stakeholders Independently troubleshoot difficult and complex issues on dev, test, UAT and production environments Responsible for end-to-end delivery of projects, coordination between client and internal offshore teams and manage client queries Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT)

Sound understanding of Microsoft Purview Data Loss Prevention, Insider Risk Management, Information Protection, Data Lifecycle Management, Audit, Compliance Manager, Data security, Data Governance, and Risk and Compliance. Min 3 yrs of experience in MS purview

A seasoned data professional with 5+ years in data governance, stewardship, and DAMA DMBoK practices. Strong SQL, metadata management, regulatory compliance (e.g., GDPR) stakeholder engagement skills required. CDMP certification is a plus!

Job Summary As a Manager in Learning & Development you will play a pivotal role in shaping the future of our workforce by leveraging your expertise in Career Architecture mgmt program mgmt training delivery and learning content development. You will be responsible for analyzing training needs implementing solutions and utilizing data analytics to enhance our learning initiatives. This hybrid role requires a deep understanding of data governance and learning and development to drive impactful results. Responsibilities Lead the development and implementation of comprehensive learning and development strategies that align with organizational goals and objectives. Oversee the analysis of training needs to identify skill gaps and develop targeted learning solutions that address these gaps. Provide expertise in change management to ensure smooth transitions and adoption of new learning initiatives across the organization. Utilize program management skills to effectively plan execute and monitor learning and development projects ensuring they are delivered on time and within budget. Develop and curate engaging learning content that is relevant up-to-date and tailored to meet the diverse needs of our workforce. Implement data and analytics tools to measure the effectiveness of learning programs and make data-driven decisions to enhance future initiatives. Collaborate with cross-functional teams to integrate Workday Cloud Career Hub and other platforms into our learning ecosystem. Drive the use of Psft-Career & Succession Planning and SuccessFactors Career Worksheet to support career development and succession planning efforts. Ensure compliance with data governance standards in all learning and development activities to protect sensitive information and maintain data integrity. Foster a culture of continuous learning and improvement by promoting innovative learning solutions and best practices. Support the hybrid work model by designing flexible learning programs that accommodate both in-person and remote employees. Engage with stakeholders to gather feedback and insights to continuously improve the learning experience and outcomes. Contribute to the companys purpose by empowering employees with the skills and knowledge needed to succeed in their roles and make a positive impact on society. Qualifications Possess a minimum of 12 years of experience in learning and development with a strong background in change management and program management. Demonstrate expertise in training needs analysis solution implementation and learning content development. Have experience with data and analytics to drive learning initiatives and measure their effectiveness. Be proficient in Workday Cloud Career Hub Psft-Career & Succession Planning and SuccessFactors Career Worksheet. Exhibit strong domain skills in data governance and learning and development. Show a proven track record of successfully implementing learning solutions in a hybrid work environment. Display excellent communication and collaboration skills to work effectively with cross-functional teams. Career Architecture and Internal Mobility Define structure of roles tracks and levels across the organization. Create and validate role-skill profiles for job families. Drive adoption of self-assessment and manager validation of skill profiles. Enable cross-functional movement through role mapping and transferable skills. Identify adjacent roles for job mo Align learning journeys with role expectations and future skill needs. Support managers in identifying skill gaps and development plans. Define training pathways for role transitions (e.g. bootcamps knowledge checks). Design and monitor job rotation programs with business leaders. Certifications Required Optional

Role & responsibilities Subject Matter Expertise required in more than one of the following areas- Data Management, Data Governance, Data Quality Measurement and Reporting, Data Quality Issues Management. Liaise with IWPB markets and stakeholders to coordinate delivery of organizational DQ Governance objectives, and provide consultative support to facilitate progress Conduct analysis of IWPB DQ portfolio to identify thematic trends and insights, to effectively advise stakeholders in managing their respective domains Proficiency in MI reporting and visualization is strongly preferred Proficiency in Change and Project Management is strongly preferred. Ability to prepare programme update materials and present for senior stakeholders, with prompt response any issues / escalations Strong communications and Stakeholder Management skills: Should be able to work effectively and maintain strong working relationships as an integral part of a larger team Preferred candidate profile

Key Skills : Python, SQL, PySpark, Databricks, AWS, Data Pipeline, Data Governance, Data Security, Leadership, Cloud Platforms, Life Sciences, Migration, Airflow. Roles & Responsibilities : Lead a team of data engineers and developers, defining technical strategy, best practices, and architecture for data platforms. Architect, develop, and manage scalable, secure, and high-performing data solutions on AWS and Databricks. Oversee the design and development of robust data pipelines for ingestion, transformation, and storage of large-scale datasets. Enforce data validation, lineage, and quality checks across the data lifecycle, defining standards for metadata, cataloging, and governance. Design automated workflows using Airflow, Databricks Jobs/APIs, and other orchestration tools for end-to-end data operations. Implement performance tuning strategies, cost optimization best practices, and efficient cluster configurations on AWS/Databricks. Define and enforce data security standards, IAM policies, and ensure compliance with industry-specific regulatory frameworks. Work closely with business users, analysts, and data scientists to translate requirements into scalable technical solutions. Drive strategic data migrations from on-prem/legacy systems to cloud-native platforms with minimal risk and downtime. Mentor junior engineers, contribute to talent development, and ensure continuous learning within the team. Experience Requirement : 6-9 years of hands-on experience in data engineering with expertise in Python, SQL, PySpark, Databricks, and AWS. Strong leadership experience in data engineering or data architecture roles, with a proven track record in leading teams and delivering large-scale data solutions. Expertise in designing and developing data pipelines, optimizing performance, and ensuring data quality. Solid experience with cloud platforms (AWS, Databricks), data governance, and security best practices. Experience in data migration strategies and leading transitions from on-premises to cloud-based environments. Experience in the Life Sciences or Pharma domain is highly preferred, with a deep understanding of industry-specific data requirements. Strong communication and interpersonal skills with the ability to collaborate across teams and engage stakeholders. Education : Any Graduation.

Position Summary. Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events. What you'll do. About Team Ever wondered what would a convergence of online and offline advertising systems looks like Ever wondered how we can bridge the gap between sponsored search, display, video ad formats Ever thought how we can write our own ad servers which serve billions of requests in near real time Our Advertising Technology team is building an end-to-end advertising platform that is key to Walmarts overall growth strategy. We use cutting edge machine learning, data mining and optimization algorithms to ingest, model and analyze Walmarts proprietary online and in-store data, encompassing 95% of American households. Importantly, we build smart data systems that deliver relevant retail ads and experiences that connect our customers with the brands and products they love. Your Opportunity We are looking for a versatile principal data scientist who has a strong expertise in machine learning, deep learning with good software engineering skills and significant exposure to building ML solutions; including Gen AI solutions scratch up & leading data science engagement. The opportunities that will come with this role are As a seasoned SME in MLE, you will get to work on & take a lead in scaling & deployment for the most challenging of our data science solutions (including , but definitely not limited to Gen-AI solutions) across a broad spectrum of advertising domain. Influence the best practices that we should follow as we scale & deploy our solutions across a diverse set of product. Train and mentor our pool of data scientists in data sciences and MLE skills Contribute to the Tech org via patents, publications & open source contributions. What You Will Do Design large-scale AI/ML products/systems impacting millions of customers Develop highly scalable, timely, highly-performant, instrumented, and accurate data pipelines Drive and ensure that MLOps practices are being followed in solutions Enable data governance practices and processes by being a passionate adopter and ambassador. Drive data pipeline efficiency, data quality, efficient feature engineering, maintenance of different DBs (like Vector DBs, Graph DBs, feature stores, caching mechanism) Lead and inspire a team of scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art Lead the team to develop production-level code for the implementation of AI/ML solutions using best practices to handle high-scale and low-latency requirements Deploy batch and real-time ML solutions, model results consumption and integration pipelines. Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions. Drive proactive optimisation of code and deployments, improving efficiency, cost and resource optimisation. Design model architecture, optimal Tech stack and model choices, integration with larger engineering ecosystem, drive best-practices of model integrations working closely with Software Engineering leaders Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to deploy these & drive business actions. Closely partners with the Senior Managers & Director of Data Science, Engineering and product counterparts to drive data science adoption in the domain Collaborate with multiple stakeholders to drive innovation at scale Build a strong external presence by publishing your team's work in top-tier AI/ML conferences and developing partnerships with academic institutions Adhere to Walmart's policies, procedures, mission, values, standards of ethics and integrity Adopt Walmart's quality standards, develop/recommend process standards and best practices across the retail industry. Drive data pipeline efficiency, data quality, efficient feature engineering, maintenance of different DBs (like Vector DBs, Graph DBs, feature stores, caching mechanism). Deploy batch and real-time ML solutions, model results consumption and integration pipelines. Design model architecture, Optimal Tech stack and model choices, integration with larger engineering ecosystem, drive best-practices of model integrations working closely with Software Engineering leaders. Drive proactive optimisation of code and deployments, improving efficiency, cost and resource optimisation. What You Will Bring Bachelors with > 13 years or Master's with > 12 years OR Ph.D. with > 10 years of relevant experience. Educational qualifications should be in Engineering / Data sciences. Strong experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems. Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind. Strong experience in real time ML solution deployment Experience with deployment patterns for Distributed Systems. Strong Python coding and package development skills. Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce. Ability to work in a big data ecosystem - expert in SQL/Hive/Spark. About Walmart Global Tech: Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. Thats what we do at Walmart Global Tech. Were a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the worlds largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service, or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human led is our true disruption. Flexible, hybrid work: We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives. Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions while being inclusive of all people. Minimum Qualifications. Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years" experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years" experience in an analytics related field. Option 3: 7 years" experience in an analytics or related field. Preferred Qualifications. Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location. G, 1, 3, 4, 5 Floor, Building 11, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-1925040,