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Strong employer brand, metro location, and a mid-level product role drive high competition.
Core product skills transfer, but AI governance, risk, and compliance expertise increases domain specificity.
Explicit 5+ years requirement plus product and AI governance experience preferences create moderate filtering.
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Lead development, operationalisation, and adoption of AI governance platform capabilities for AI use case intake, risk triage, assessment, assurance tracking, and lifecycle monitoring.
Collaborate with cross-functional teams (product, technology, privacy, legal, cybersecurity, business) to embed AI governance into workflows and decision points ensuring oversight and accountability.
Monitor platform usage, adoption metrics, and workflow efficiencies; translate insights into improvements and maintain communications, training, and guidance for stakeholders.
5+ years of relevant professional experience in product management, consulting, technology delivery, transformation, risk, or governance-related disciplines.
Working knowledge of AI and AI/ML delivery lifecycle including development, deployment, risk assessment, and monitoring within an enterprise.
Experience in product management practices including requirements definition, workflow design, backlog prioritisation, user story development, and adoption planning.
Work Experience Required: 5+ years relevant experience. Notice period not explicitly mentioned in the JD.
Structured, analytically rigorous professional able to work across technology, product, business, and governance functions without direct line authority.
Experience or strong understanding of responsible AI, AI risk, technology risk, assurance, privacy, cybersecurity, audit, or regulatory compliance preferred.
Comfortable working with operational data/metrics to drive platform adoption and continuous improvement in a complex enterprise environment.