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Remote role, mid-level (3–5yrs), and broad cross-functional skillset create high applicant competition.
Requires AI governance and change-management expertise, moderately transferable but biased toward consulting and regulated environments.
Explicit 3–5+ years plus mandatory AI governance and enablement experience imply moderate hiring filters.
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Own AI enablement programs, including training, documentation, adoption tracking, and governance workflows to accelerate approved AI tool use.
Manage AI governance processes such as use-case intake, risk review, approvals, and lifecycle tracking ensuring responsible AI practices.
Partner with cross-functional teams (Product, AI engineers, leadership) to prioritize, measure, and provide controls for AI use cases and tools.
3-5+ years experience in AI enablement, governance, risk, change management, product operations, compliance, or digital transformation.
Strong understanding of enterprise AI tools, GenAI use cases, prompt engineering, data privacy, and responsible AI principles.
Experience creating training materials, documentation, playbooks, and executive-ready communication on complex AI topics.
Work Experience Required: 3-5+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced operating at the intersection of AI adoption, change management, risk, policy, and product enablement within complex organizational contexts.
Demonstrates strong cross-stakeholder coordination skills spanning business, technical, legal, risk, and security domains.
Comfortable building scalable yet lightweight AI governance processes and managing AI communities or knowledge hubs.