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Tier-1 brand, metro location, mid-level product role, and generalist product skillset increase applicant competition.
Product and governance skills transfer across industries, but responsible-AI and governance experience raise specialization moderately.
Explicit 5+ years plus domain governance and cross-functional product experience makes filtering moderately strict.
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Own development and operationalisation of AI governance platform capabilities to support use case registration, risk assessment, monitoring, and assurance workflows.
Collaborate across technology, product, legal, privacy, cybersecurity, and business teams to embed governance processes for AI initiatives.
Monitor platform metrics and adoption, driving continuous improvements and automation opportunities to maintain oversight and institutional trust.
5+ years of relevant experience in product management, consulting, technology delivery, transformation, risk, or governance-related roles.
Working knowledge of AI/ML delivery lifecycle including development, deployment, risk assessment, and monitoring within enterprise context.
Familiarity with product management practices such as requirements definition, workflow design, backlog prioritisation, user story development, and adoption planning.
Location: Bangalore (implied from JD location), Notice period: Not explicitly mentioned in the JD.
Experienced in operating at the intersection of AI, product, governance, and enterprise transformation with ability to influence without direct authority.
Capability to analyze platform data and operational metrics to identify adoption gaps and improvement areas.
Prior exposure to responsible AI, AI risk, technology risk, assurance, or regulatory compliance preferred to succeed.