Data Privacy - Lead

  • 10+ years of experience in building enterprise data management and privacy technology solutions and architecture blueprint.
  • Has strong understanding of the below areas both at conceptual level and engineering/technology level. Has created & driven solutions for the below areas.
    • Data Lifecyle Management: Data Classification, Data Protection (Encryption/Tokenization/Certificate management), Data Retention, Data Minimization with an underlying repository of “metadata” and data flows
    • Data Privacy: Consent & Preference Management, Decentralized Identity, Data Subject Rights Management, Privacy Impact Assessment including Third Parties, Data Breach Management, Privacy by Design techniques.
    • Privacy compliant Data Sharing: Secure multi-party computation, data licensing, Data Portability, TEE (Trusted Execution Environments)/Confidential Computing, Differential Privacy
    • Data catalogue: Metadata management, Data Lineage
    • Data Quality: Data Quality Measurement (Rules or Machine Learning Based)
  • Knowledge of information principles and processes
  • Understanding and knowledge of system development life cycle methodologies (such as waterfall, spiral, agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps)
  • Knowledge and understanding of different modelling languages/frameworks (such as UML and ArchiMate etc)
  • Excellent analytical, planning, organizational and technical and skills
  • Excellent written and verbal communication skills
  • Ability to work in an in-and-out outsourced environment

Apply for this Job

* Required