AI, Data Governance & Privacy Officer I

About the role

The AI, Data Governance & Privacy Officer will design and run an enterprise‑wide framework that governs data, artificial intelligence and privacy across the organisation. This senior position ensures that AI and data initiatives deliver value while complying with regulatory, ethical and risk‑management standards.

Key responsibilities

• Establish and maintain enterprise AI governance frameworks, policies, standards and approval processes for Agentic AI, Generative AI, machine learning, advanced analytics and intelligent automation.
• Develop and operate the enterprise data governance framework, including data ownership, stewardship, quality, metadata, master data, lineage, retention and classification.
• Lead privacy and data‑protection programmes, act as Data Protection Officer where required, and manage DPIAs, privacy risk assessments, consent and data‑subject‑rights requests.
• Define model governance standards, conduct AI risk assessments, maintain an AI model inventory and ensure regulatory readiness.
• Monitor global AI, data and privacy regulations, translate them into controls, and support internal and external audit activities.
• Set governance requirements for AI vendors and third‑party cloud services, reviewing contracts and assessing privacy, security and ethical risks.
• Create and deliver training programmes on responsible AI, data governance and data protection to build a culture of responsible innovation.

Required profile

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Cybersecurity, Law or related field; Master’s preferred.
• 10+ years of experience in data governance, privacy, risk or technology governance, with at least 5 years leading enterprise‑wide initiatives.
• Background in insurance, financial services or other regulated industries is preferred.

Required skills

• AI/ML platforms
• Generative AI tools
• Cloud platforms (e.g., AWS, Azure, GCP)
• Enterprise data environments and data lakes
• Data governance tooling and metadata management
• Data quality and master data management