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Niche governance role and seniority reduce applicants, but Bengaluru metro increases competition.
Core data-governance skills transfer across industries, though regulated-experience preference raises domain sensitivity.
Explicit eight-year requirement and mandatory governance frameworks and stewardship experience drive high strictness.
Establish and operate the data governance framework across the DNA Data and Analytics portfolio, ensuring clear data ownership, agreed definitions, measurable quality, traceable lineage, and appropriate controls.
Define and maintain governance strategy, operating model, roles, stewardship, and a prioritized governance roadmap aligned with enterprise policies and data risk.
Lead governance forums, stakeholder engagement, reporting, and enablement to drive trusted decision-making, regulatory compliance, and AI readiness for priority data products.
Bachelor’s degree or equivalent in Data Management, Information Management, Computer Science, Information Systems, Business, Risk, or related discipline.
At least 8 years of relevant experience in data governance, enterprise data management, data quality, metadata, information architecture, data risk, or related field.
Demonstrated experience establishing or operationalizing a data governance framework in a complex, matrixed organization.
Strong knowledge of data ownership, stewardship, metadata, Critical Data Elements, data quality, lineage, lifecycle controls, and governance of data and analytics products.
Experienced in facilitating governance councils and cross-functional decision forums to resolve ownership, data quality, and risk issues with senior stakeholders.
Proficient in translating policies and technical data concepts into practical business processes and governance practices.
Technically credible with practical understanding of data platforms (warehouses, lakes), ETL, data pipelines, BI environments, and system integrations, with a focus on measurable governance outcomes.