- Drive governance adoption, stewardship processes, and data ownership across assigned domains.

- Maintain business glossaries, critical data elements (CDEs), metadata, lineage, and ownership information.

- Ensure governance standards and policies are consistently applied across business and technology teams.

Semantic Models & Business Definitions :

- Define and maintain semantic models, business rules, taxonomies, and standard definitions.

- Establish a common business vocabulary and consistent KPI calculations across systems and reports.

- Resolve definition conflicts and drive a single source of truth for enterprise data.

- Support trusted analytics, reporting, and AI initiatives through strong metadata and business context.

Data Quality Management :

- Perform data profiling and identify data quality issues and improvement opportunities.

- Define and monitor data quality rules, controls, KPIs, and scorecards.

- Lead issue remediation, root-cause analysis, exception management, and stakeholder communication.

- Improve data completeness, accuracy, consistency, timeliness, and reliability.

Stakeholder Engagement & Delivery :

- Build strong partnerships across business, technology, risk, compliance, and operations teams.

- Influence stakeholders and drive alignment without direct authority.

- Translate business needs into practical governance and data quality solutions.

- Drive initiatives from concept to implementation and deliver measurable outcomes.

Innovation & Continuous Improvement :

- Evaluate and adopt new tools, technologies, and AI capabilities.

- Promote data literacy and governance awareness across the organization.

- Continuously improve governance processes, controls, and business outcomes.

What Will Help You Be Successful In This Role? :

Experience :

- Bachelors degree in Business, Information Systems, Computer Science, Data Analytics, or related discipline.

- 5+ years of experience in Data Governance, Data Stewardship, Data Quality, Metadata Management, or related Data Management functions.

- Experience with governance tools such as Informatica or similar platforms.

Technical & Professional Skills :

- Data Governance & Stewardship

- Data Quality Management

- Metadata & Lineage

- Semantic Models & Business Glossaries

- Data Lifecycle, Privacy & Information Management

- Strong stakeholder management, networking, and communication skills.

- Demonstrated ability to influence, drive change, and deliver results in cross-functional environments.

- Strong analytical, problem-solving, and execution capabilities.

- Technology-savvy with a passion for learning new tools and emerging AI capabilities.

- CDMP certification (or willingness to obtain within 12 months).

Preferred Qualifications :

- Experience in Financial Services, Asset Management, Wealth Management, or Banking.

- Familiarity with Snowflake, Power BI, SQL, and cloud data platforms.

- Experience with AI readiness, data cataloging, metadata management, and governance scorecards.

- Knowledge of DAMA-DMBOK and modern data management practices would be a plus.

Work Shift Timings :

- 2 : 00 PM - 11 : 00 PM IST