Data Governance Lead
Data Governance Lead
Location: Bengaluru, India | Employment Type: Full-time
About the Role
client's data governance baseline is zero no deletion or retention policies were historically enforced, data volumes have accumulated across four production SQL Server environments, and no governance tooling is in place. The Data Governance Lead will build client's governance programme from the ground up. This is a critical, high-visibility role confirmed as a strategic priority by Craig Hogan, client's Data and AI Lead.
client Data Environment
4 x production SQL Server environments — no historical deletion/retention policies. SQL Server CDC Redshift (Bronze/Silver/Gold) via DBT. DynamoDB, EC2. No governance tooling currently in place. ~90% internal, ~10% external data.
Key Responsibilities
Design and implement client's enterprise data governance framework from zero — policies, standards, processes, and controls
Priority one: define and implement data retention and deletion policies across all four production SQL Server environments
Establish data classification standards: PCI DSS, PII, PAN, PHI, CVV across all data layers
Build a data catalogue and metadata management capability across SQL Server, Redshift, and DynamoDB
Define data lineage, ownership, and stewardship across client's Bronze/Silver/Gold data layers
Collaborate with Data Quality Engineer to embed quality standards into governance processes
Partner with Data Architect on governance standards in the target-state architecture
Work with client's compliance and legal teams on PCI DSS and FCA regulatory requirements
Drive data literacy and governance awareness across engineering and business functions
Own governance tooling selection, implementation, and adoption
Required Skills & Experience
8+ years in data governance, data management, or information management
Proven experience building governance programmes from zero maturity in regulated financial services
Specific expertise: data retention, deletion policy design, and data lifecycle management — essential, not optional
Deep knowledge of DAMA-DMBOK, DCAM, or equivalent frameworks
Strong PCI DSS, GDPR, and FCA regulatory data requirements expertise
Experience governing legacy SQL Server estates with accumulated data and absent lifecycle controls
Familiarity with Redshift, DBT, DynamoDB in a governance context
Excellent stakeholder management — able to influence engineering, compliance, and business leadership
Strong written communication for policy, standards, and governance documentation