Job Summary
We are seeking an experienced Data Steward with 10+ years of experience in data governance, data quality, metadata management, and regulatory compliance. The ideal candidate will act as a bridge between business and technology teams to ensure data is accurate, consistent, secure, and aligned with enterprise data governance standards. The role requires strong stakeholder management, data management expertise, and experience implementing data governance frameworks across large organizations.
Key Responsibilities
Data Governance & Stewardship
- Define, implement, and enforce enterprise data governance policies, standards, and procedures.
- Act as the owner and custodian of critical business data domains.
- Establish data stewardship processes and operating models across business functions.
- Collaborate with Data Owners, Data Custodians, and business stakeholders to improve data management practices.
Data Quality Management
- Monitor, measure, and improve data quality using predefined KPIs and metrics.
- Identify data quality issues, perform root cause analysis, and drive remediation efforts.
- Define data quality rules, controls, and validation mechanisms.
- Implement continuous monitoring processes for critical data assets.
Metadata & Data Catalog Management
- Maintain business glossaries, data dictionaries, and metadata repositories.
- Ensure proper classification, lineage, and documentation of enterprise data assets.
- Promote adoption of data catalog platforms across business teams.
Compliance & Risk Management
- Support compliance initiatives related to GDPR, CCPA, HIPAA, SOX, and other regulatory requirements.
- Ensure data privacy, security, and retention policies are followed.
- Conduct regular audits and assessments of data governance processes.
Stakeholder Collaboration
- Partner with business users, data architects, data engineers, analytics teams, and leadership.
- Facilitate governance councils and working groups.
- Drive awareness and training programs related to data governance and stewardship.
Reporting & Analytics
- Develop governance dashboards and reports for executive stakeholders.
- Track governance maturity, data quality scores, and stewardship effectiveness.
- Present governance insights and recommendations to leadership teams.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or related field.
- 10+ years of experience in Data Governance, Data Management, Master Data Management (MDM), or Data Stewardship.
- Strong understanding of data governance frameworks such as DAMA-DMBOK.
- Experience with metadata management, data lineage, and data quality processes.
- Excellent business stakeholder management and communication skills.
- Strong analytical and problem-solving abilities.
Technical Skills
- Data Governance Tools: Collibra, Alation, Informatica Axon, Microsoft Purview
- Data Quality Tools: Informatica DQ, Ataccama, Talend DQ, IBM InfoSphere
- Metadata Management & Data Catalog Platforms
- SQL and Data Analysis
- Data Warehousing Concepts
- Master Data Management (MDM)
- Data Lineage & Data Classification
- Power BI/Tableau for Governance Reporting
Preferred Qualifications
- CDMP (Certified Data Management Professional) Certification.
- Experience with Azure, AWS, or Google Cloud data platforms.
- Experience in Financial Services, Healthcare, Insurance, or Retail domains.
- Knowledge of Data Mesh and Modern Data Governance concepts.
- Exposure to AI/ML governance frameworks.
Key Competencies
- Data Governance Leadership
- Stakeholder Management
- Data Quality Management
- Metadata & Catalog Management
- Regulatory Compliance
- Problem Solving & Decision Making
- Communication & Influencing Skills
- Process Improvement
Nice to Have
- Microsoft Purview implementation experience
- Data Fabric / Data Mesh exposure
- Knowledge of Snowflake, Databricks, Fabric, Azure Data Lake
- Experience leading enterprise-wide governance initiatives
Responsibilities
Job Summary We are seeking an experienced Data Steward with 10+ years of experience in data governance, data quality, metadata management, and regulatory compliance. The ideal candidate will act as a bridge between business and technology teams to ensure data is accurate, consistent, secure, and aligned with enterprise data governance standards. The role requires strong stakeholder management, data management expertise, and experience implementing data governance frameworks across large organizations.
Key Responsibilities
Data Governance & Stewardship
- Define, implement, and enforce enterprise data governance policies, standards, and procedures.
- Act as the owner and custodian of critical business data domains.
- Establish data stewardship processes and operating models across business functions.
- Collaborate with Data Owners, Data Custodians, and business stakeholders to improve data management practices.
Data Quality Management
- Monitor, measure, and improve data quality using predefined KPIs and metrics.
- Identify data quality issues, perform root cause analysis, and drive remediation efforts.
- Define data quality rules, controls, and validation mechanisms.
- Implement continuous monitoring processes for critical data assets.
Metadata & Data Catalog Management
- Maintain business glossaries, data dictionaries, and metadata repositories.
- Ensure proper classification, lineage, and documentation of enterprise data assets.
- Promote adoption of data catalog platforms across business teams.
Compliance & Risk Management
- Support compliance initiatives related to GDPR, CCPA, HIPAA, SOX, and other regulatory requirements.
- Ensure data privacy, security, and retention policies are followed.
- Conduct regular audits and assessments of data governance processes.
Stakeholder Collaboration
- Partner with business users, data architects, data engineers, analytics teams, and leadership.
- Facilitate governance councils and working groups.
- Drive awareness and training programs related to data governance and stewardship.
Reporting & Analytics
- Develop governance dashboards and reports for executive stakeholders.
- Track governance maturity, data quality scores, and stewardship effectiveness.
- Present governance insights and recommendations to leadership teams.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or related field.
- 10+ years of experience in Data Governance, Data Management, Master Data Management (MDM), or Data Stewardship.
- Strong understanding of data governance frameworks such as DAMA-DMBOK.
- Experience with metadata management, data lineage, and data quality processes.
- Excellent business stakeholder management and communication skills.
- Solid analytical and problem-solving abilities.
Technical Skills
- Data Governance Tools: Collibra, Alation, Informatica Axon, Microsoft Purview
- Data Quality Tools: Informatica DQ, Ataccama, Talend DQ, IBM InfoSphere
- Metadata Management & Data Catalog Platforms
- SQL and Data Analysis
- Data Warehousing Concepts
- Master Data Management (MDM)
- Data Lineage & Data Classification
- Power BI/Tableau for Governance Reporting
Preferred Qualifications
- CDMP (Certified Data Management Professional) Certification.
- Experience with Azure, AWS, or Google Cloud data platforms.
- Experience in Financial Services, Healthcare, Insurance, or Retail domains.
- Knowledge of Data Mesh and Modern Data Governance concepts.
- Exposure to AI/ML governance frameworks.
Key Competencies
- Data Governance Leadership
- Stakeholder Management
- Data Quality Management
- Metadata & Catalog Management
- Regulatory Compliance
- Problem Solving & Decision Making
- Communication & Influencing Skills
- Process Improvement
Nice to Have
- Microsoft Purview implementation experience
- Data Fabric / Data Mesh exposure
- Knowledge of Snowflake, Databricks, Fabric, Azure Data Lake
- Experience leading enterprise-wide governance initiatives
Qualifications
Job Summary We are seeking an experienced Data Steward with 10+ years of experience in data governance, data quality, metadata management, and regulatory compliance. The ideal candidate will act as a bridge between business and technology teams to ensure data is accurate, consistent, secure, and aligned with enterprise data governance standards. The role requires strong stakeholder management, data management expertise, and experience implementing data governance frameworks across large organizations.
Key Responsibilities
Data Governance & Stewardship
- Define, implement, and enforce enterprise data governance policies, standards, and procedures.
- Act as the owner and custodian of critical business data domains.
- Establish data stewardship processes and operating models across business functions.
- Collaborate with Data Owners, Data Custodians, and business stakeholders to improve data management practices.
Data Quality Management
- Monitor, measure, and improve data quality using predefined KPIs and metrics.
- Identify data quality issues, perform root cause analysis, and drive remediation efforts.
- Define data quality rules, controls, and validation mechanisms.
- Implement continuous monitoring processes for critical data assets.
Metadata & Data Catalog Management
- Maintain business glossaries, data dictionaries, and metadata repositories.
- Ensure proper classification, lineage, and documentation of enterprise data assets.
- Promote adoption of data catalog platforms across business teams.
Compliance & Risk Management
- Support compliance initiatives related to GDPR, CCPA, HIPAA, SOX, and other regulatory requirements.
- Ensure data privacy, security, and retention policies are followed.
- Conduct regular audits and assessments of data governance processes.
Stakeholder Collaboration
- Partner with business users, data architects, data engineers, analytics teams, and leadership.
- Facilitate governance councils and working groups.
- Drive awareness and training programs related to data governance and stewardship.
Reporting & Analytics
- Develop governance dashboards and reports for executive stakeholders.
- Track governance maturity, data quality scores, and stewardship effectiveness.
- Present governance insights and recommendations to leadership teams.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or related field.
- 10+ years of experience in Data Governance, Data Management, Master Data Management (MDM), or Data Stewardship.
- Strong understanding of data governance frameworks such as DAMA-DMBOK.
- Experience with metadata management, data lineage, and data quality processes.
- Excellent business stakeholder management and communication skills.
- Strong analytical and problem-solving abilities.
Technical Skills
- Data Governance Tools: Collibra, Alation, Informatica Axon, Microsoft Purview
- Data Quality Tools: Informatica DQ, Ataccama, Talend DQ, IBM InfoSphere
- Metadata Management & Data Catalog Platforms
- SQL and Data Analysis
- Data Warehousing Concepts
- Master Data Management (MDM)
- Data Lineage & Data Classification
- Power BI/Tableau for Governance Reporting
Preferred Qualifications
- CDMP (Certified Data Management Professional) Certification.
- Experience with Azure, AWS, or Google Cloud data platforms.
- Experience in Financial Services, Healthcare, Insurance, or Retail domains.
- Knowledge of Data Mesh and Modern Data Governance concepts.
- Exposure to AI/ML governance frameworks.
Key Competencies
- Data Governance Leadership
- Stakeholder Management
- Data Quality Management
- Metadata & Catalog Management
- Regulatory Compliance
- Problem Solving & Decision Making
- Communication & Influencing Skills
- Process Improvement
Nice to Have
- Microsoft Purview implementation experience
- Data Fabric / Data Mesh exposure
- Knowledge of Snowflake, Databricks, Fabric, Azure Data Lake
- Experience leading enterprise-wide governance initiatives
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others.
EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers.
We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible.
Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients.
Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.
📌 Assistant Vice President (Pune)
🏢 EXL
📍 Pune