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Remote, visible PM role increases competition, though AI-specific experience narrows the qualified pool.
Strong AI program delivery requirements make background fit highly domain-specific.
Explicit 8+ years, required AI delivery experience and certifications create high shortlisting rigidity.
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Lead and manage end-to-end AI project delivery including scope, timelines, budgets, risk, and dependencies.
Bridge business stakeholders, technical teams, and external vendors to ensure timely, on-budget AI solutions aligned with business objectives.
Drive accountability, manage vendor engagements, oversee compliance with data privacy, security, and ethical AI standards, and report project performance to leadership.
Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or related field.
8+ years of technology project or program management experience.
3–5 years managing AI, ML, data, or advanced analytics projects in enterprise environments.
Experience with global, multi-vendor, distributed teams and project management certifications (e.g., PMP, Prince2).
Experienced in leading complex, cross-functional AI projects involving data scientists, engineers, product owners, and external vendors.
Comfortable operating in global, distributed, multi-vendor environments and managing budgets, risks, executive reporting.
Familiar with enterprise AI applications in sectors such as healthcare, finance, manufacturing, or retail and with AI/ML technical concepts to effectively manage delivery.