Data Governance & Stewardship:

- 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 solid 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 up-to-date data management practices would be a plus.

Work Shift Timings - 2:00 PM - 11:00 PM IST

📌 Business Data Steward (Hyderabad)
🏢 ConverseHR Business Solutions
📍 Hyderabad