AI Project Manager – AI Capability Planning and Delivery Model

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Project Manager #1– Capability Planning & Delivery Model
Location – 100% Remote

Role Purpose
This Project Manager will lead 2 key project workstreams including capability planning & delivery model workstream, with responsibility for developing and maintaining the enterprise AI roadmap, managing the use-case inventory, and building prioritization frameworks. The role also ensures that AI hubs integrate seamlessly into delivery models to maximize reuse and business impact.
Key Responsibilities
Workstream: Capability Planning
Identify and assess AI/automation/agentic capability needs to support short- and long-term business requirements. Ensure capabilities are sequenced to maximize reuse, reduce redundancy, and accelerate adoption.

• Planning & roadmap development
• Lead creation and maintenance of the enterprise AI capability roadmap, ensuring proper sequencing and alignment across hubs.
• Translate high-level AI strategy into actionable delivery plans with clear milestones and dependencies.
• Use case inventory mgmt
• Maintain and update the AI/Automation/Agentic use-case inventory (400+ identified opportunities).
• Rationalize, categorize, and align use cases with enterprise capability needs and business priorities.
• Prioritization & scoring model
• Develop and implement a prioritization scoring framework to evaluate AI opportunities consistently.
• Partner with governance, business owners, and operating model teams to ensure scoring criteria reflect enterprise priorities. Workstream: Delivery Model Planning & EnablementQualifications
  • Operating Model
  • Define how AI hubs integrate into enterprise delivery models to ensure standardized processes and scalable adoption.
  • Enable reusable assets and delivery approaches that reduce fragmentation and accelerate solution delivery.
  • Partner with OpEx, IT, Risk, and Business Owners to embed AI hubs into the product/value-stream operating model.
  • 7+ years of project management in data, AI/analytics, or digital transformation programs.
  • Demonstrated experience in roadmapping, capability planning, and portfolio prioritization.
  • Familiarity with enterprise operating models and integration of data/AI functions.
  • Understanding of AI hubs, reusable assets, and federated delivery frameworks.
  • Strong stakeholder management and facilitation skills across technical and business groups.
  • Knowledge of AWS data/AI environments desirable.

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