Data Privacy Product Owner

ChubbJersey City, NJ
$147,500 - $207,500

About The Position

The Data Privacy Product Owner is accountable for establishing the 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 ensuring 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); and Privacy-by-design controls embedded into data products and pipelines.

Requirements

  • Accountable for establishing Data Privacy Platform
  • Building enterprise data privacy capability from the ground up
  • Creating data privacy capability through platform services
  • Defining operating model, tooling, standards, and ways of working
  • Ensuring data privacy is embedded across all data platforms (structured and unstructured)
  • Owning product vision, roadmap, and design for data privacy capabilities
  • Experience with PII discovery, identification, and classification
  • Experience with data masking, anonymisation, and tokenisation
  • Experience with aged data treatment process (Data retention, archiving, and disposal)
  • Experience with Privacy-by-design controls embedded into data products and pipelines
  • Experience defining enterprise approach for PII discovery and classification
  • Experience establishing classification taxonomies and minimum coverage expectation
  • Experience ensuring integration with data catalog and data lineage management
  • Experience defining standard enterprise patterns for data masking, tokenization, and anonymization
  • Experience providing clear guidance on application of controls
  • Experience defining enterprise frameworks for retention rules and archiving
  • Experience translating legal and business requirements into design patterns
  • Experience ensuring retention and disposal are policy-driven and enforceable
  • Experience defining reference architecture and tooling standards for data privacy
  • Experience leading evaluation and selection of data privacy tools
  • Experience defining integration patterns with data platforms and metadata services

Responsibilities

  • 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
  • Prioritize the data privacy platform backlog in partnership with IT delivery teams
  • Define success measures focused on capability adoption and reuse
  • 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
  • Define standard enterprise patterns for Statics masking, Dynamic masking, Tokenization and anonymization
  • Provide clear guidance on when and how controls should be applied
  • 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
  • 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
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