Govern a portfolio of Agentic AI initiatives, ensuring alignment to approved business cases, development stages, and the CAITI operating and delivery model.
Establish and maintain program cadence, including planning cycles, stage-gate reviews, portfolio reviews, and executive/steering committee updates.
Manage cross-initiative dependencies, risks, and issues, driving early identification, escalation, and coordinated resolution across squads and workstreams.
Own program-level reporting across schedule, scope, risks, and financials (CapEx / OpEx), ensuring accuracy, traceability, and audit readiness.
Coordinate stage-gate progression across Concept, Proof of Concept, MVP, and Production, ensuring readiness criteria are met before advancement.
Partner with AI Product Managers and Engineering Managers to ensure delivery plans align with portfolio priorities, capacity, and sequencing constraints.
Support vendor oversight and integration by coordinating timelines, dependencies, and escalation paths in collaboration with Vendor Oversight leads.
Facilitate portfolio-level forums (program reviews, investment reviews, steering committees), preparing materials and surfacing decisions, risks, and trade-offs.
Ensure alignment with QA/Validation, regulatory, and information governance expectations by tracking required artifacts, reviews, and approvals at program level.
Continuously improve program governance practices, templates, and reporting mechanisms to support scaling of the Agentic AI portfolio.
Requirements
6+ years in program or portfolio management roles, preferably in technology, AI, or data-driven environments.
Proven experience managing multiple parallel initiatives with shared dependencies and constrained resources.
Experience operating within regulated or highly governed enterprise environments.
Bachelor’s degree in a technical, quantitative, or business discipline, or equivalent practical experience.
Strong understanding of software development lifecycles, particularly for AI
or data-intensive systems.
Ability to engage credibly with Product, Architecture, Engineering, and QA leaders on plans, risks, dependencies, and trade-offs (without owning technical decisions).