Data Privacy Product Owner

Role Purpose:

The Data Privacy Product Owner is accountable for establishing Data Privacy Platform and for building the enterprise data privacy capability from the ground up. This role is responsible for creating the data privacy capability through platform services, defining the operating model, tooling, standards, and ways of working, and ensure it is embedded across all data platforms including structured and unstructured data.

This role owns the product vision, roadmap, and design for data privacy capabilities, including:

• PII discovery, identification, and classification
• Data masking, anonymisation, and tokenisation
• Aged data treatment process (Data retention, archiving, and disposal)
• Privacy-by-design control embedded into data products and pipelines

Key Responsibilities:

• Product Ownership – Data Privacy Platform
  • Own the enterprise data privacy platform product vision and roadmap
  • Translate data privacy policy into implementable data privacy capabilities
  • Define MVP, phased rollout, and scale strategy
  • Prioritise the data privacy platform backlog in partnership with IT delivery teams
  • Define success measures focused on capability adoption and reuse

• PII Discovery & Classification
  • Define the enterprise approach for PII discovery and classification
  • Establish classification taxonomies and minimum coverage expectation
  • Ensure integration with data catalog and data lineage management

• Data Masking & Privacy Controls
  • Define standard enterprise patterns for Statics masking, Dynamic masking, Tokenisation and anonymisation
  • Provide clear guidance on when and how controls should be applied

• Data Retention, Archiving & Disposal

  • Define enterprise frameworks for retention rules and archiving
  • Translate legal and business requirements into design patterns
  • Ensure retention and disposal are policy-driven and enforceable

   

• Tooling & Architecture Definition
  • Define reference architecture and tooling standards for data privacy
  • Lead evaluation and selection of data privacy tools
  • Define integration patterns with data platforms and metadata services