2637 Data Governance Jobs - Page 31

As an Operations Executive at our company located in Noida, Sector 58, you will be responsible for managing data collection, validation, and reporting to ensure data accuracy and consistency. Your role is crucial in facilitating effective decision-making and fostering collaboration among different teams. Your primary responsibilities will include collecting and consolidating data from various sources, verifying data for accuracy and completeness, preparing reports and dashboards to provide operational insights, maintaining data quality, and adhering to governance standards. You will also collaborate closely with finance, sales, and delivery teams to meet data and reporting requirements. To excel in this role, you should hold a Bachelors or Masters degree in Business or a related field and possess a solid understanding of data management and reporting practices. Proficiency in Microsoft Excel is essential, while experience with data visualization tools would be advantageous. Strong analytical and communication skills are key to effectively fulfill your duties, and having a basic knowledge of data governance would be a valuable asset. If you are detail-oriented, analytical, and have a passion for driving operational efficiency through data, we invite you to join our team as an Operations Executive.,

You are a strategic thinker passionate about driving solutions in business architecture and data management. You have found the right team. As a Banking Book Product Owner Analyst in our Firmwide Finance Business Architecture (FFBA) team, you will spend each day defining, refining, and delivering set goals for our firm. You will partner with stakeholders across various lines of business and subject matter experts to understand products, data, source system flows, and business requirements related to Finance and Risk applications and infrastructure. As a Product Owner on the Business Architecture team, you will work closely with Line of Business stakeholders, data Subject Matter Experts, Consumers, and technology teams across Finance, Credit Risk & Treasury, and various Program Management teams. Your primary responsibilities will include prioritizing the traditional credit product book of work, developing roadmaps, and delivering on multiple projects and programs during monthly releases. Your expertise in data analysis and knowledge will be instrumental in identifying trends, optimizing processes, and driving business growth. As our organization grows, so does our reliance on insightful, data-driven decisions. You will dissect complex datasets to unearth actionable insights while possessing a strong understanding of data governance, data quality, and data management principles. Utilize Agile Framework to write business requirements in the form of user stories to enhance data, test execution, reporting automation, and digital analytics toolsets. Engage with development teams to translate business needs into technical specifications, ensuring acceptance criteria are met. Drive adherence to product and Release Management standards and operating models. Manage the release plan, including scope, milestones, sourcing requirements, test strategy, execution, and stakeholder activities. Collaborate with lines of business to understand products, data capture methods, and strategic data sourcing into a cloud-based big data architecture. Identify and implement solutions for business process improvements, creating supporting documentation and enhancing end-user experience. Collaborate with Implementation leads, Release managers, Project managers, and data SMEs to align data and system flows with Finance and Risk applications. Oversee the entire Software Development Life Cycle (SDLC) from requirements gathering to testing and deployment, ensuring seamless integration and execution. Required qualifications, capabilities, and skills: - Bachelors degree with 3+ years of experience in Project Management or Product Ownership, with a focus on process re-engineering. - Proven experience as a Product Owner with a strong understanding of agile principles and delivering complex programs. - Strong analytical and problem-solving abilities, with the capacity to quickly assimilate business and technical knowledge. - Experience in Finance, Risk, or Operations as a Product Lead. - Familiarity with Traditional Credit Products and Liquidity and Credit reporting data. - Highly responsible, detail-oriented, and able to work with tight deadlines. - Excellent written and verbal communication skills, with the ability to articulate complex concepts to diverse audiences. - Strong organizational abilities to manage multiple work streams concurrently, maintaining sound judgment and a risk mindset. - Solid understanding of financial and regulatory reporting processes. - Energetic, adaptable, self-motivated, and effective under pressure. - Basic knowledge of cloud technologies (e.g., AWS). Preferred qualifications, capabilities, and skills: - Knowledge of JIRA, SQL, Microsoft suite of applications, Databricks and data visualization/analytical tools (Tableau, Alteryx, Python) is a plus. - Knowledge and experience of Traditional Credit Products (Loans, Deposits, Cash etc.,) and Trading Products (Derivatives and Securities) a plus.,

You will be responsible for SAP archiving and ILM as an SAP Archiving and ILM Specialist. With over 6 years of SAP experience, you will primarily focus on SAP archiving and ILM. Your technical skills should include a robust understanding of SAP archiving concepts like archiving classes, profiles, and retention periods. Experience with SAP ILM (Information Lifecycle Management) and its configuration is essential for this role. Knowledge of SAP data management, data governance, and data quality is also required. Strong analytical and problem-solving skills will be beneficial in this position. Understanding business requirements and data retention needs is crucial, as you will need to communicate technical concepts to non-technical stakeholders effectively. This position is based in Bangalore and can be either permanent or contractual based on your preference. If you meet the experience criteria and have the necessary technical skills, kindly submit your profile to shweta@skilltasy.com for consideration.,

As a talented individual in the field of data engineering, your role will involve designing, developing, and maintaining scalable data pipelines utilizing Snowflake. Your expertise will be crucial in optimizing SQL queries and data models to enhance performance and efficiency. Implementing data security and governance best practices within Snowflake will be a key responsibility to ensure data integrity and compliance. Collaboration with data scientists and analysts will be a significant aspect of your job to understand and fulfill their data requirements effectively. Your problem-solving skills will be put to the test as you troubleshoot and resolve data-related issues promptly, ensuring smooth data operations within the organization. If you are passionate about leveraging your data engineering skills and working in a dynamic environment, this opportunity offers a platform to grow and contribute meaningfully to the organization's data infrastructure. Join us to be a part of a team that values innovation, collaboration, and continuous learning. #CareerOpportunities #JobVacancy #WorkWithUs,

Are you passionate about building scalable BI solutions and leading innovation with Microsoft Fabric AmplifAI is looking for a Power BI Architect to lead our analytics strategy, mentor a growing team, and drive enterprise-wide reporting transformation. The position is based in Hyderabad with work hours from 9 AM to 6 PM EST (US Time). As a Power BI Architect at AmplifAI, you will lead the architecture and migration from Power BI Pro/Premium to Microsoft Fabric. You will be responsible for defining scalable data models, pipelines, and reporting structures using OneLake, Direct Lake, Dataflows Gen2. Additionally, you will manage and mentor a team of Power BI Analysts and build engaging dashboards for platform insights, contact center KPIs, auto QA, and sentiment analysis. Integration of structured and semi-structured data for unified analysis, driving governance and CI/CD using GitHub-based workflows, and evangelizing best practices across semantic modeling, performance tuning, and data governance are key responsibilities. The ideal candidate should have 8+ years of experience in Power BI and enterprise analytics, 5+ years of SQL expertise, and at least 3 years in a leadership role. Proven experience with Microsoft Fabric, hands-on experience with GitHub workflows and version control, as well as strong communication, critical thinking, and problem-solving skills are essential. At AmplifAI, you will have the opportunity to work on cutting-edge enterprise AI & BI solutions, be part of a diverse, inclusive, and globally distributed team, and contribute to shaping the future of analytics in CX and performance management. If you are ready to lead data-driven transformation at AmplifAI, apply now!,

As an AI Architect at NiCE, you will be responsible for building scalable AI systems and infrastructure capable of handling large datasets while ensuring performance, reliability, and maintainability. You will lead the development of secure, compliant data and machine learning pipelines to align with data governance and regulatory standards such as GDPR. Your role will involve designing, developing, and implementing AI models and algorithms to solve real-world business problems, contributing to both proof-of-concept (POC) and production-grade solutions. Mentoring and guiding team members on AI technologies, best practices, and system architecture will be a key aspect of your role, fostering a culture of continuous learning and innovation within the organization. You will collaborate with cross-functional stakeholders to identify opportunities for AI-driven innovation and translate business requirements into technical solutions. Additionally, you will be responsible for establishing and promoting ethical and responsible AI practices across the organization. Your impact will also include taking ownership of strategic decisions related to AI deployment, architecture, and lifecycle management. You will conduct research and implement appropriate machine learning algorithms, including Retrieval-Augmented Generation (RAG) techniques and integration with Vector Databases. Furthermore, you will develop and maintain AI applications using modern frameworks such as TensorFlow, PyTorch, LangChain, and Haystack, running experiments to evaluate and improve model performance. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Proven experience as an AI Architect or in a similar senior AI/ML role is required, along with a track record of deploying multiple AI solutions in production. Proficiency in cloud platforms such as Azure or AWS is essential, as well as strong expertise in AI/ML technologies, RAG architectures, and Vector Databases. Your proficiency in programming languages like Python, .NET, or similar, along with familiarity with AI/ML frameworks and libraries, will be crucial. Experience with AI project Software Development Lifecycle (SDLC), model versioning, CI/CD for ML, and AI testing strategies is also necessary. Strong analytical and problem-solving skills, along with excellent communication skills to convey complex technical concepts, are highly valued in this position. Join NiCE, a global company known for market disruption and innovation, where you will work in a fast-paced, collaborative, and creative environment. Embrace the NICE-FLEX hybrid model that offers maximum flexibility with a balance of office and remote work, enabling teamwork, collaboration, and innovation. If you are passionate, innovative, and eager to push boundaries, NiCE offers endless internal career opportunities for growth and development across various roles, disciplines, domains, and locations.,

Whether you're at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you'll have the opportunity to expand your skills and make a difference at one of the world's most global banks. We're fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You'll also have the chance to give back and make a positive impact where we live and work through volunteerism. Institutional Credit Management's (ICM) objective is to provide an integrated end-to-end credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses across the enterprise. Institutional Client Group (ICG) In-Business Quality Assurance is an integral part of the ICM organization. The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. ICM uses the results of the quality assurance reviews to assess the quality of the group's policies, procedures, programs, and practices as relates to the management of wholesale credit risk. The results help management identify operational weaknesses, risks associated with the function, training needs, and process deficiencies. This role would ideally be suited to someone who is an analyst within the credit risk analysis unit within the domain of Institutional Wholesale Banking. The ideal candidate will be currently working in 1st or 2nd LOD areas, in roles such as Data Analyst, Credit Analyst, or Business Analyst. This role reports to the ICM Head of In-Business Quality Assurance Head of Data Analytics. In this role, you're expected to support the In-Business Quality Assurance Head of Data Analytics to set the global strategy for and lead the implementation and ongoing delivery of a robust Data analytics and testing program for the Quality Assurance function as it relates to Wholesale Credit Risk (WCR) data governance. You should provide effective challenge on the design and operation of the data and credit processes within ICM and report any identified gaps and concerns on those through quarterly reports published to ICG senior management. The ability to query and clean complex datasets from multiple sources is essential. You should also have deep and hands-on experience in deriving concrete insight from data and qualifying business impact. You will be responsible for developing processes and tools to monitor and analyze model performance and data accuracy. Collaboration within IBQA teams and with QA Directors to provide them with analytics insights is a key aspect of this role. Furthermore, you will provide oversight and guidance over the assessment of complex data-related issues, structure potential solutions, and drive effective resolution with stakeholders. Supporting WCR IBQA team to abreast of relevant changes to rules/regulations and other industry news including regulatory findings is also part of the responsibilities. Additionally, support WCR IBQA Voice of the Employee (VOE) as well as diversity and inclusion initiatives. This is a hybrid role requiring office attendance 3 times a week. As a successful candidate, you'd ideally have the following skills and exposure: Analytics and Business: - Good understanding of Underwriting space with experience in Banking and Financial Services Industry. - Relevant years of experience in data analytics, modeling and analytics, internal audit, or similar functions at an investment or large commercial bank. - Good grasp of Wholesale Credit Risk and Counterparty Credit Risk Processes and organizational awareness, to evaluate findings identified through the Quality Assurance process, determine materiality, and partnering with business to drive sustainable remediation. Leadership: - Assists colleagues in identifying stretch opportunities to elevate individual and team performance and recognizes individuals based on performance. - Continuous learning and improvement mindset. - Proven culture carrier. Competencies: - Solid organizational skills with ability and willingness to work under pressure and manage time and priorities effectively. - Written and verbal communication skills, with the ability to communicate clearly and concisely to audiences of varying levels of seniority. - A drive to learn and master new technologies and techniques. - Experience in analyzing datasets and distilling them into actionable information as well as building out end-to-end analytical process flows. - Understanding of process redesign/re-engineering and execution. - Analytical and decision-making capabilities including the ability to identify, escalate, and propose and execute solutions to complex problems. - Experience in preparing presentations for seniors. Technical: - Coding knowledge and experience with at least one programming language (Python & Tableau skills or similar tools) will be an advantage. - Proven experience of agile collaborative working. - Experience working with data and deriving insights. Education: - Bachelor's or Master's Degree in Business Administration, Finance, or similar disciplines. - Data Analysis: SQL; Python; SAS; R, Alteryx. - Visualization: Tableau; QlikView; MS Power BI. - Programming language: Python. Global Benefits: We provide programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling, and more. Coverage varies by country. We have a variety of programs that help employees balance their work and life, including generous paid time off packages. Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community, and make a real impact. Apply for this role at Citi today.,

We are seeking a highly skilled and experienced Business Analytics and Insights Manager to drive data-driven business strategies, empower decision-making, and enhance customer experiences for our enterprise products. Your role will involve leveraging advanced analytics, predictive modeling, and data integration to provide actionable insights aligned with business objectives. You will be responsible for predicting business trends, forecasting performance, and providing data-backed recommendations to improve revenue attainment, customer retention, and sales performance. Additionally, you will lead efforts to establish seamless integrations between data sources, data catalogue systems, and analytics tools to drive insights and innovation. You will be expected to: - Deliver actionable insights and dashboards using tools like Power BI, KNIME, Tableau, and similar analytics platforms - Communicate insights to Success Managers, Product Leaders, and Customer Experience Executives through engaging visualizations and data stories - Support leadership with data-driven recommendations to enhance decision-making and strategic planning You will also: - Analyze historical and real-time data to develop predictive models and forecasts for business value growth, revenue attainment, and customer experience improvement - Identify renewal trends, churn risks, and upsell/cross-sell opportunities through data-driven insights - Provide forward-looking recommendations to mitigate risks and optimize performance Furthermore, you will: - Establish and manage integrations across data sources, ensuring a unified data view - Build, maintain, and optimize data pipelines, warehouses, and catalog systems for scalable analytics - Implement robust data governance frameworks to ensure data integrity, accuracy, and security You will leverage advanced analytics platforms and AI/ML capabilities to generate predictive and prescriptive insights. Your role will involve developing forecasting models to anticipate business trends, revenue outcomes, and customer behavior, as well as driving corrective and preventive strategies based on analytics. Collaboration with cross-functional teams to understand business challenges, providing strategic insights to senior leadership, and fostering a culture of data-driven decision-making will be key aspects of your role. Qualifications and Skills: - Education: Bachelors or Masters degree in Statistics, Computer Science, Data Science, Business Analytics, or a related field - Experience: 13-15 years in data analytics, business intelligence, or related domains, with expertise in predictive analytics and forecasting, preferably in a B2B SaaS environment - Technical Expertise: Proficiency in analytics and visualization tools, expertise in AI/ML platforms, and strong understanding of data management and governance frameworks - Functional Knowledge: Deep understanding of customer lifecycle management, business performance metrics, and ability to translate data into actionable insights for strategy and performance improvement,

As a Lead PoC for OCI Data Catalog, you will be responsible for designing, configuring, and demonstrating catalog capabilities. Your role will involve integrating with Oracle DB, Object Storage, and on-prem sources to showcase metadata, lineage, classification, and stewardship. Additionally, you will be expected to export metadata to Marketplace App, document outcomes, and provide training to client teams. The ideal candidate should have a minimum of 3 years of experience in Data Governance and Cloud Data, with hands-on experience in OCI Data Catalog. You should possess a strong understanding of metadata, lineage, and classification concepts. Excellent communication and documentation skills are essential for this role to effectively interact with stakeholders and produce relevant documentation.,

You are a results-driven Data Project Manager (PM) responsible for leading data initiatives within a regulated banking environment, focusing on leveraging Databricks and Confluent Kafka. Your role involves overseeing the successful end-to-end delivery of complex data transformation projects aligned with business and regulatory requirements. In this position, you will be required to lead the planning, execution, and delivery of enterprise data projects using Databricks and Confluent. This includes developing detailed project plans, delivery roadmaps, and work breakdown structures, as well as ensuring resource allocation, budgeting, and adherence to timelines and quality standards. Collaboration with data engineers, architects, business analysts, and platform teams is essential to align on project goals. You will act as the primary liaison between business units, technology teams, and vendors, facilitating regular updates, steering committee meetings, and issue/risk escalations. Your technical oversight responsibilities include managing solution delivery on Databricks for data processing, ML pipelines, and analytics, as well as overseeing real-time data streaming pipelines via Confluent Kafka. Ensuring alignment with data governance, security, and regulatory frameworks such as GDPR, CBUAE, and BCBS 239 is crucial. Risk and compliance management are key aspects of your role, involving ensuring regulatory reporting data flows comply with local and international financial standards and managing controls and audit requirements in collaboration with Compliance and Risk teams. The required skills and experience for this role include 7+ years of Project Management experience within the banking or financial services sector, proven experience in leading data platform projects, a strong understanding of data architecture, pipelines, and streaming technologies, experience in managing cross-functional teams, and proficiency in Agile/Scrum and Waterfall methodologies. Technical exposure to Databricks (Delta Lake, MLflow, Spark), Confluent Kafka (Kafka Connect, kSQL, Schema Registry), Azure or AWS Cloud Platforms, integration tools, CI/CD pipelines, and Oracle ERP Implementation is expected. Preferred qualifications include PMP/Prince2/Scrum Master certification, familiarity with regulatory frameworks, and a strong understanding of data governance principles. The ideal candidate will hold a Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or a related field. Key performance indicators for this role include on-time, on-budget delivery of data initiatives, uptime and SLAs of data pipelines, user satisfaction, and compliance with regulatory milestones.,

As a Data Operations Analyst at First Citizens India, you will play a crucial role in ensuring the smooth operations and support of key data deliverables at Silicon Valley Bank. Your responsibilities will include monitoring data quality controls, addressing data quality issues, managing user inquiries, and facilitating data certification. Additionally, you will be expected to demonstrate thought leadership and provide guidance to junior team members. Your essential functions will involve collaborating with business and technology teams to prioritize and resolve data-related problems. You will engage partners or vendors as necessary to address issues, open service requests for remediation, and uphold a high standard of data quality. Identifying anomalies in data quality and resolving escalated issues will be key aspects of your role. Furthermore, you will support project planning and management to ensure adherence to best practices in data governance. In this position, you will have the autonomy to define and implement data quality controls, as well as prioritize data issues for resolution. Your recommendations will focus on maintaining consistent definitions, adherence to standards, and addressing security requirements. Possessing strong analytical skills, attention to detail, and effective communication will be essential for success in this role. Proficiency in SQL query skills for independent data analysis and the ability to collaborate across different workstreams are desired qualities. As a Data Operations Analyst, you will be expected to exhibit critical thinking, thought leadership, and a proactive approach to driving change and achieving results. Your passion for establishing data governance practices and your ability to provide guidance to junior team members will be crucial for the success of the team. A Bachelor's degree in a relevant field, 5-7 years of experience in the financial industry, and proficiency in production data operations are required for this role. Experience with regulated systems and data governance tools will be advantageous. Join us at First Citizens India as we continue our mission of delivering tailored business solutions and driving innovation in the global banking technology and business services industry.,

Are you a hands-on Data Architect who excels at tackling intricate data challenges within structured and unstructured sources Are you passionate about crafting micro data lakes and spearheading enterprise-wide data strategies If this resonates with you, we are eager to learn more about your expertise. In this role, you will be responsible for designing and constructing tailored micro data lakes specific to the lending domain. Additionally, you will play a key role in defining and executing enterprise data strategies encompassing modeling, lineage, and governance. Your tasks will involve architecting and implementing robust data pipelines for both batch and real-time data ingestion, as well as devising strategies for extracting, transforming, and storing data from various sources such as APIs, PDFs, logs, and databases. Establishing best practices for data quality, metadata management, and data lifecycle control will also be part of your core responsibilities. Collaboration with engineering and product teams to align data architecture with business objectives will be crucial, as well as evaluating and integrating modern data platforms and tools like Databricks, Spark, Kafka, Snowflake, AWS, GCP, and Azure. Furthermore, you will mentor data engineers and promote engineering excellence in data practices. The ideal candidate for this role should possess a minimum of 10 years of experience in data architecture and engineering, along with a profound understanding of structured and unstructured data ecosystems. Hands-on proficiency in ETL, ELT, stream processing, querying, and data modeling is essential, as well as expertise in tools and languages such as Spark, Kafka, Airflow, SQL, Amundsen, Glue Catalog, and Python. Familiarity with cloud-native data platforms like AWS, Azure, or GCP is required, alongside a solid foundation in data governance, privacy, and compliance standards. A strategic mindset coupled with the ability to execute hands-on tasks when necessary is highly valued. While exposure to the lending domain, ML pipelines, or AI integrations is considered advantageous, a background in fintech, lending, or regulatory data environments is also beneficial. As part of our team, you will have the opportunity to lead data-first transformation and develop products that drive AI adoption. You will enjoy the autonomy to design, build, and scale modern data architecture within a forward-thinking, collaborative, and tech-driven culture. Additionally, you will have access to the latest tools and technologies in the data ecosystem. Location: Chennai Experience: 10-15 Years | Full-Time | Work From Office If you are ready to shape the future of data alongside us, we invite you to apply now and embark on this exciting journey!,

As the Data Lineage Lead, your primary responsibility will be to define and lead Data Lineage standards while continuously evolving them. You will play a crucial role in enhancing data lineage by proactively presenting ideas with use cases and identifying opportunities for process improvements within the team. Additionally, you will be tasked with upskilling the staff by recognizing knowledge gaps and fostering a culture of continuous learning. Your role will also involve creating a Data Management Centre of Excellence in India and collaborating with Business Divisions/Group Functions to establish combined Objectives and Key Results to ensure successful completion. You will be responsible for owning the standard operating procedures for the CDO Data Lineage team, as well as the escalation framework to ensure adherence. In this position, you will be expected to flag discrepancies and anomalies in data to the appropriate forums and track them to closure. You will review and own policies and standards for the Data Lineage team, perform control testing for Data Lineage and maintenance, and provide support during audits. Key Responsibilities: - Demonstrating subject matter expertise in business/support functions such as Risk, Finance, and Wholesale banking - Previous experience in Data Management Operations or Data Lineage is preferred - Minimum of 12 years of experience in Data Management/Business Analysis - Proficiency in Data Governance and/or Data Quality Management - Familiarity with banking or capital markets regulations including BCBS 239, IFRS, and CCAR, with an understanding of the KDO/CDE lifecycle - Skilled in senior management communications and decision-making - Ability to drive organizational changes and influence stakeholders - Methodical, concise, and accurate with a strong attention to detail - Collaborative mindset with the capability to integrate teams towards a common goal, listen to diverse views, and facilitate decision-making - Proficient in driving organizational and team culture enhancements In summary, as a Data Lineage Lead, you will be at the forefront of establishing and maintaining Data Lineage standards, driving improvements, and fostering a culture of excellence and continuous learning within the team.,

In this role, you are expected to contribute to Institutional Credit Management's (ICM) objective of providing comprehensive credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses. As part of the ICM In-Business Quality Assurance function, you will play a crucial role in verifying that established standards and processes are consistently applied. Your insights from quality assurance reviews will help assess the group's policies, procedures, programs, and practices related to wholesale credit risk management, enabling the identification of operational weaknesses, training needs, and process deficiencies. As the ICM In-Business Quality Assurance Data Analytics Vice President, your responsibilities include executing Quality Assurance Reviews (QARs), providing feedback on deficiencies and areas of improvement, and engaging with management, Independent Risk, and other stakeholders. You will report to the ICM In-Business Quality Assurance Data Lead and should ideally have experience in Business Audit or Risk Management, coupled with expertise in Machine Learning, Data Science, and Analytics within the context of Wholesale Credit Risk processes in global financial services firms. Key responsibilities of this role involve supporting the Head of Data Analytics in setting the global strategy for a robust data analytics and testing program, challenging the design and operation of data and credit processes, analyzing complex datasets, deriving insights from data, evaluating findings, assessing data accuracy, monitoring model performance, staying abreast of regulatory changes, and providing guidance on data-related issues. You will act as a subject matter expert for senior stakeholders, exercise independent judgment, and operate with a limited level of direct supervision. To be successful in this role, you should possess strong analytical skills, communication abilities, knowledge of Wholesale Credit Risk, leadership qualities, organizational skills, problem-solving capabilities, attention to detail, a drive for learning new technologies, and experience with programming languages and data analysis tools. A degree in a quantitative field and proficiency in tools such as SQL, Python, SAS, R, Tableau, and Power BI are preferred qualifications. If you are seeking a challenging role where you can contribute to enhancing data analytics within the context of Wholesale Credit Risk and collaborate with various stakeholders to drive improvements, this position may be an ideal fit for you.,

The Healthcare Analytics Specialist position based in Gurugram requires 3 to 5 years of experience. You will be responsible for developing, maintaining, and optimizing data pipelines, including ingestion, transformation, and loading of internal and external sources. Collaboration with Operations is essential to design scalable, secure, and high-performing data workflows. Best practices in data governance, version control, security, and documentation must be implemented. Analytical models for cost, quality, and utilization metrics will be built and maintained using tools like Python, R, or SQL-based BI tools. Reports will be developed to communicate findings to stakeholders across the organization. Ingesting and preprocessing third-party data from various sources, ensuring compliance with transparency requirements and designing automated workflows for data validation are key responsibilities. Data quality assurance through validation checks, audits, and anomaly detection frameworks is crucial. Compliance with healthcare regulations such as HIPAA, HITECH, and data privacy requirements must be maintained. Participation in internal and external audits of data processes is expected. Continuous improvement and thought leadership are encouraged to enhance data processes, adopt new technologies, and promote a data-driven culture within the organization. Mentoring junior analysts and sharing best practices in data analytics, reporting, and pipeline development are part of the role. Required qualifications include a Bachelor's degree in health informatics, Data Science, Computer Science, Statistics, or a related field. Proficiency in data integration & ETL, databases & cloud, BI & visualization, and healthcare domain expertise is necessary. Analytical & problem-solving skills, soft skills, and strong project management abilities are also required. Preferred qualifications include advanced degrees, experience with healthcare cost transparency regulations, familiarity with DataOps or DevOps practices, certification in BI or data engineering, and experience in data stewardship programs & leading data governance initiatives. Joining this position offers opportunities for innovation through advanced analytics projects, growth by leading initiatives and mentoring others, and working in a supportive culture that values open communication, knowledge sharing, and continuous learning.,

Job Description: As a Data Privacy Manager at Wipro Limited, you will be responsible for ensuring compliance with data privacy laws across various regions, including GDPR in Europe, DPDP in India, CCPA in California, and other international mandates. Your role will involve protecting Personally Identifiable Information (PII) and Sensitive Personal Information (SPI) through the implementation of a robust framework that mitigates risks and enhances the organization's security posture. You will oversee the organization's efforts in safeguarding sensitive data, ensuring compliance with data privacy regulations, and aligning with industry best practices. This pivotal role plays a crucial part in building and maintaining trust with customers, partners, and employees by safeguarding personal and confidential information. Key Responsibilities: - Monitor and ensure adherence to data protection regulations such as GDPR, DPDP (India), CCPA, HIPAA, or other applicable laws. - Develop, maintain, and update data privacy policies, procedures, and guidelines to align with legal requirements and industry best practices. - Conduct privacy impact assessments (PIAs) and data protection impact assessments (DPIAs) to identify and mitigate potential risks associated with data processing activities. - Stay informed about changes in data privacy laws and provide guidance to the organization accordingly. - Conduct regular audits and risk assessments to identify areas of improvement. - Lead initiatives to promote a culture of data privacy and protection within the organization. - Collaborate with cross-functional teams to ensure data privacy compliance across all departments. - Develop strategies for data governance and align them with organizational goals. - Ensure privacy is integrated into the design and development of new products and services. - Manage data breach incidents, including investigation, remediation, and reporting. - Organize training sessions to educate employees on data privacy standards and practices. - Oversee the privacy practices of third-party vendors and ensure compliance with data protection standards. Educational Requirements: A bachelor's degree or higher in fields like Law, Information Technology, Computer Science, or a similar field is preferred. Technical Skills: - Familiarity with data security concepts such as encryption, data masking, anonymization, and pseudonymization. - Knowledge of IT systems and data management. Soft Skills: - Collaboration with various teams across the organization. - Attention to detail when dealing with sensitive data and regulatory compliance. - Leadership and organizational skills in overseeing privacy program implementation. - Ethical mindset in handling sensitive information responsibly and upholding privacy rights. Join our team as a Data Privacy Manager at Wipro and contribute to protecting the data that drives our organization and fosters trust with our stakeholders. Your expertise will be instrumental in navigating the complexities of data privacy and security in a constantly evolving digital landscape.,

The Data Lead for the AMEA (Asia, Middle East, and Africa) and India region holds a pivotal leadership position responsible for overseeing data management, governance, analytics, and strategy initiatives across the region. Reporting directly to the CIO of AMEA & India, you will collaborate closely with the Global Business Units (GBUs) and support functions to ensure the effective and ethical utilization of data in driving business growth, operational efficiency, and informed decision-making. This role demands a forward-thinking leader with profound expertise in data science, architecture, and governance, complemented by strong leadership and communication abilities. Your primary responsibilities will revolve around the following key areas: **Data Strategy and Governance** Develop and execute a comprehensive data strategy aligned with both the Group's data strategy and the growth plans of the AMEA & India region. Implement the Group Data Policy throughout the AMEA & India region. Establish data governance policies to uphold data quality, privacy, and security across all data assets. Collaborate with regional and global stakeholders to standardize data practices and standards across the AMEA organization. Oversee the development and maintenance of data architecture and infrastructure to ensure scalability and robustness. Monitor regulatory compliance concerning data privacy and security, ensuring adherence to applicable laws and regulations. **Data Management** Lead the design, implementation, and management of data management systems and processes encompassing data warehousing, data lakes, and data integration platforms. Ensure the accurate and timely collection, storage, and retrieval of data from diverse sources across the AMEA region. Implement best practices for data lifecycle management, including retention, archiving, and disposal. Manage the regional data team, comprising data analysts, data scientists, and data engineers, to ensure alignment with the organization's data strategy and objectives. Ensure that data within the region is collected, stored, and analyzed in compliance with data privacy laws and regulations. Identify and prioritize data-related opportunities and risks within the region, collaborating with executives and business leaders to devise data-driven solutions. Promote a data culture within the region by educating and training employees on effective data use and fostering interdepartmental collaboration. Ensure the digital and data integration of newly acquired companies and the data disintegration of sold entities. **Data Analytics and Insights** Drive the development and deployment of advanced analytics and business intelligence solutions to facilitate data-driven decision-making. Lead a team of data scientists, analysts, and engineers to derive actionable insights from data, enabling informed decision-making by business leaders. Promote a culture of data literacy and data-driven innovation across the organization. **Leadership and Collaboration** Provide visionary leadership to the data team by setting clear goals, expectations, and performance metrics. Collaborate with senior executives and business leaders within the GBUs and support functions to identify data-driven opportunities and challenges. Work with the entities Data Leads to ensure consistency in data policies, standards, and procedures across the organization. Stay abreast of the latest trends and technologies in the data field, identifying opportunities to leverage emerging technologies for improved data-driven decision-making in the region. Cultivate and maintain strong relationships with external partners, vendors, and industry experts to remain informed about emerging trends and technologies. **Qualifications** - Master's degree in Data Science, Computer Science, Information Technology, or a related field. - Minimum of 10 years of experience in data management, analytics, or a related field, with at least 5 years in a senior leadership role. - Proven track record in developing and executing data strategies that drive business value. - Profound knowledge of data governance, architecture, security, and regulatory compliance. - Strong expertise in data analytics, machine learning, and AI. - Excellent leadership, communication, and interpersonal skills. - Ability to thrive in a diverse and multicultural environment. **Skills and Competencies** - Strategic Vision - Technical Expertise - Leadership - Communication - Collaboration - Problem-Solving - Analytical Skills - Strategic Thinking - Leadership Skills - Communication Skills - Change Management Skills - Business Acumen This role reports to the CIO of AMEA & India and is based in Pune, India, under the GBU Renewables division of ENGIE Energy India Private Limited. The ideal candidate should possess a wealth of experience, with a seniority level exceeding 15 years, and hold a Master's Degree education level.,

As a Data Engineer, you will be responsible for designing, developing, and maintaining robust ETL pipelines using Azure Data Factory (ADF) to support complex insurance data workflows. Your role will involve integrating and extracting data from various Guidewire modules such as PolicyCenter, BillingCenter, and ClaimCenter, ensuring data quality, integrity, and consistency. You will be tasked with building reusable components for data ingestion, transformation, and orchestration across Guidewire and Azure ecosystems. Optimizing ADF pipelines for performance, scalability, and cost-efficiency while following industry-standard DevOps and CI/CD practices will be a key part of your responsibilities. Collaboration with solution architects, data modelers, and Guidewire functional teams to translate business requirements into scalable ETL solutions is essential. You will conduct thorough unit testing, data validation, and error handling across all data transformation steps. Additionally, your involvement will span end-to-end data lifecycle management from requirement gathering through deployment and post-deployment support. Providing technical documentation, pipeline monitoring dashboards, and ensuring production readiness will be crucial. You will also support data migration projects involving legacy platforms to Azure cloud environments. You will need to follow Agile/Scrum practices, contribute to sprint planning, retrospectives, and stand-ups with a strong ownership of deliverables. Your mandatory skills should include 6+ years of experience in data engineering with expertise in Azure Data Factory, Azure SQL, and related Azure services. Hands-on experience in building ADF pipelines that integrate with Guidewire Insurance Suite is a must. Proficiency in data transformation using SQL, Stored Procedures, and Data Flows is required, along with experience working on Guidewire data models and understanding PC/Billing/Claim schema and business entities. A solid understanding of cloud-based data warehousing concepts, data lake patterns, and data governance best practices is expected. You should also have experience in integrating Guidewire systems with downstream reporting and analytics platforms. Excellent debugging skills will be necessary to resolve complex data transformation and pipeline performance issues. Preferred skills include prior experience in the Insurance (P&C preferred) domain or implementing Guidewire DataHub and/or InfoCenter. Familiarity with tools like Power BI, Databricks, or Synapse Analytics is a plus. In terms of work mode, this position requires 100% onsite presence at the Hyderabad office with no remote or hybrid flexibility. Strong interpersonal and communication skills are essential as you will be working with cross-functional teams and client stakeholders. A self-starter mindset with a high sense of ownership is crucial, as you must thrive under pressure and tight deadlines.,

The role of a Data Catalog Analyst is crucial in establishing and maintaining a centralized metadata repository to facilitate data discovery, lineage, and governance across an organization. As a Data Catalog Analyst, your primary responsibility will involve configuring, implementing, and managing the erwin Data Catalog to ensure effective metadata management. You will be required to extract metadata from diverse data sources and guarantee its accuracy and completeness. Collaboration with data stewards, business analysts, and IT teams will be essential to define and enforce metadata standards and governance policies. Additionally, you will play a key role in developing and sustaining data lineage, impact analysis, and data flow documentation. Your expertise will be instrumental in supporting the creation and upkeep of business glossaries, technical metadata, and data dictionaries. Facilitating data discovery and self-service analytics will be a core aspect of your role. This will entail ensuring that metadata is easily accessible and well-organized to enable efficient utilization by business and technical users. Providing training and assistance to users on leveraging the erwin platform effectively will also be part of your responsibilities. Monitoring system performance, troubleshooting metadata ingestion and cataloging issues, and ensuring seamless operational functionality will be critical tasks. As a qualified candidate, you should possess a Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field along with a minimum of 3 years of experience in data governance, metadata management, or enterprise data architecture. Proficiency in erwin DIS, particularly erwin Data Catalog and erwin Data Modeler, is required. A strong understanding of metadata management, data lineage, and data governance frameworks such as DAMA-DMBOK is essential. Familiarity with relational databases, data warehouses, and cloud data platforms like AWS, Azure, and GCP is preferred. Proficiency in SQL, data profiling tools, and experience with other data governance tools are advantageous. Preferred skills include knowledge of regulatory compliance standards, strong communication abilities, stakeholder engagement skills, experience in documentation creation, familiarity with Agile methodology, and the capability to work independently while managing multiple priorities in a fast-paced environment.,

You will be working as an MD Engineer responsible for SAP Plant Maintenance (PM) master data within an Enterprise Asset Management (EAM) framework. Your main focus will be to ensure the accuracy, completeness, and integrity of Master data including Equipment, Functional locations, Maintenance plans, BOMs, and Task lists aligned with EAM practices. Collaboration with engineering, maintenance, and data analysis teams will be crucial to understand business needs and drive data quality and process efficiency. Your responsibilities will include developing PM master data according to standards by extracting information from engineering documents and legacy data, creating and managing SAP PM master data following standards and governance frameworks, running quality audits, cleansing data, maintaining KPIs, dashboards, and analytics using tools like Excel, PowerBI, etc. You will work on structuring and maintaining equipment, functional locations, BOMs, maintenance plans, and technical objects in line with EAM best practices. Supporting in identifying gaps, proposing enhancements, drafting SOPs, and continuous improvement initiatives will also be part of your role. Additionally, you will develop standard maintenance procedures from various maintenance documents, create maintenance plans, and schedule in SAP PM. To qualify for this role, you should have a Bachelor's degree in engineering (Mechanical/Electrical/Mining/Instrumentation/Production) and 2-3 years of experience working with SAP PM, functional locations, equipment structures, maintenance plans, and BOMs. Familiarity with EAM best practices including asset hierarchy, lifecycle, and preventive maintenance is essential. Hands-on experience in industrial maintenance practices and knowledge of different types of Rotary and Static equipment such as Scrubbers, dryers, screens, and crushers is required. Proficiency in Excel (advanced), SQL, PowerBI, data governance, communication, and stakeholder management is crucial. Experience in PM master data remediation projects, exposure to different types of maintenance practices, their implementation in SAP PM, and reliability-centered maintenance would be considered a plus.,

Job Summary: We are seeking an experienced Azure Data Governance Specialist to design, implement, and manage data governance frameworks and infrastructure across Azure-based platforms. The ideal candidate will ensure enterprise data is high-quality, secure, compliant, and aligned with business and regulatory requirements. This role combines deep technical expertise in Azure with a strong understanding of data governance principles, MDM, and data quality management. Key Responsibilities: Data Governance & Compliance: Design and enforce data governance policies, standards, and frameworks aligned with enterprise objectives and compliance requirements (e.g., GDPR, HIPAA). Master Data Management (MDM): Implement and manage MDM strategies and solutions within the Azure ecosystem to ensure consistency, accuracy, and accountability of key business data. Azure Data Architecture: Develop and maintain scalable data architecture on Azure (e.g., Azure Data Lake, Synapse, Purview, Alation, Anomalo) to support governance needs. Tooling & Automation: Deploy and manage Azure-native data governance tools such as Azure Purview, Microsoft Fabric, and Data Factory to classify, catalog, and monitor data assets including third party tools like Alation. Data Quality (DQ): Lead and contribute to Data Quality forums, establish DQ metrics, and integrate DQ checks and dashboards within Azure platforms. Security & Access Management: Collaborate with security teams to implement data security measures, role-based access controls, and data encryption in accordance with Azure best practices. Technical Leadership: Guide teams in best practices for designing data pipelines, metadata management, and lineage tracking with Azure tooling. Continuous Improvement: Drive improvements in data management processes and tooling to enhance governance efficiency and compliance posture. Mentorship & Collaboration: Provide technical mentorship to data engineers and analysts, promoting data stewardship and governance awareness across the organization. Qualifications: Education: Bachelors degree in Computer Science, Information Systems, or a related field. Experience: 8+ years of experience in data infrastructure and governance, with 3+ years focused on Azure data services and tools. Technical Skills: Proficiency with data governance tools: Alation, Purview, Synapse, Data Factory, Azure SQL, etc. Strong understanding of data modeling (conceptual, logical, and physical models). Experience with programming languages such as Python, C#, or Java. In-depth knowledge of SQL and metadata management. Leadership: Proven experience leading or influencing cross-functional teams in data governance and architecture initiatives. Certifications (preferred): Azure Data Engineer Associate, Azure Solutions Architect Expert, or Azure Purview-related certifications.

MicroStrategy Reporting Engineer Key Responsibilities Design, develop and maintain MicroStrategy projects across environments Act as the customer-facing contact point between data engineering and the business, assisting analysts and users with how to use, navigate, and develop their own reports and dashboards on the MicroStrategy platform Build and maintain MicroStrategy as primary BI tool and be the driving force behind the adoption and effective use of MicroStrategy within every team Investigate, improve and optimize object creation for improved user experience. Influence internal and external stakeholders to design and adopt processes that elevate data integrity and facilitate self-help analytics and proper data governance Build and lead impactful and KPI-centric relationships with cross-functional team members Help create and maintain development standards (style guides, naming, etc.) and assist on query reviews for other BI developers or analysts Basic Qualifications Bachelor's degree in a technical field or equivalent technical knowledge and experience. At least 3+ years of experience using MicroStrategy (Developer tool for semantic model creation) Experience in creating, maintaining, and debugging MicroStrategy schema and application objects. Experience designing MicroStrategy reports, dossiers and documents Experience in creating, tuning, and maintaining MicroStrategy cubes Excellent SQL skills, with the ability to write and debug complex queries and perform query tuning High energy and action-oriented with a history of getting things done in complex, fast-moving environments Ability to communicate complex information clearly and concisely. Experience working on projects from feature definition to project deployment through the development lifecycle. Experience informing and assisting peers and other business stakeholders on various business initiatives. Preferred Qualifications Understanding of development processes and agile methodologies. Experience within retail, eCommerce is desired Experience with cloud data warehouses, particularly Snowflake is desired Effective analytical, troubleshooting, and problem-solving skills. Experience building data products incrementally and integrating and managing datasets from multiple sources. Experience with MicroStrategy administration tools such as Object Manager and Integrity Manager

Greetings for the Day! At least 8 years experience in a similar role in data management/analytics/architecture or engineering Experience with solution design and data modelling Experience working with metadata and an appreciation for metadata frameworks and ontologies A technical understanding of data transport mechanisms An understanding of data mesh and data product concepts Technical or physical data lineage experience is preferable Evidenced experience in documenting requirements and designing solutions to meet objectives in an efficient and robust way Experience within project or risk management change environment Recognition of being strong communicator, with excellent written and oratory ability A track record as an Agile and change management practitioner Signs of having the enthusiasm to identify, learn and coach others in new data, modelling and risk processes

Experience - Min 10 years Pharmaceutical domain is must Work mode - Hybrid/Remote Job Overview We are seeking an experienced MDM (Master Data Management) Architect to design, implement, and govern enterprise-wide MDM strategy. The ideal candidate will have deep expertise in MDM platforms, data governance, and data quality management, ensuring accurate and consistent master data across the organization Key Responsibilities MDM Strategy & DesignDefine and implement an enterprise MDM architecture aligned with business objectives. Design scalable and sustainable MDM solutions for domains such as Customer, Product, Pricing data. Evaluate and recommend MDM tools (e.g., Reltio, Informatica MDM)Implementation & IntegrationLead end-to-end MDM implementation, including data modeling, workflows, match-merge rules, and survivorship. Integrate MDM with ERP (SAP), CRM (Salesforce), and other enterprise systems. Ensure seamless data flow across transactional and analytical systems. Data Governance & QualityEstablish data governance policies, stewardship, and ownership frameworks. Define data quality rules, KPIs, and remediation processes. Collaborate with business stakeholders to enforce data standards. Technical Leadership: Provide thought leadership on MDM best practices and emerging trends. Mentor data teams and drive adoption of MDM principles. Troubleshoot and optimize MDM performance issues. Compliance & SecurityEnsure MDM solutions comply with global regulations (GDPR, HIPAA, etc.). Implement role-based access controls and data security measures. Qualifications Qualifications & Skills Experience:10+ years in MDM architecture, data management, or related roles. Hands-on experience with leading MDM tools (Reltio, Informatica MDM).Strong knowledge of data modeling, ETL, APIs, and cloud-based MDM solutions. Experience in life sciences, pharmaceuticals Skills: Expertise in SQL, data integration, and master data governance. Strong analytical and problem-solving abilities. Excellent communication and stakeholder management skills. Job Location

Name of the position: Data Engineer Location: Remote No. of resources needed: 01 Mode: Contract Years of experience: 5+ Years Shift: UK shift Job Summary: Seeking an experienced Data Engineer with expertise in SQL, Python, and Excel to join our team. The ideal candidate will have a strong background in data cleansing and transformation, with a proven track record of delivering high-quality data solutions. Key Responsibilities: Design, develop, and maintain large-scale data systems and architectures Develop and implement data pipelines to extract, transform, and load data from various sources Collaborate with cross-functional teams to identify data requirements and develop data-driven solutions Develop and maintain data quality and data governance processes Ensure data security and compliance with regulatory requirements Stay up-to-date with emerging trends and technologies in data engineering Requirements: 5+ years of experience in data engineering with a strong focus on data cleansing and transformation Expert-level proficiency in SQL, Python, and Excel Experience with data warehousing, ETL, and data governance Strong understanding of data security and compliance regulations