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Accelerate innovation for a healthier world.
AI Program Manager
Location
Portugal
Posted
79 days ago
Salary
0
Seniority
Senior
Job Description
AI Program Manager
IQVIA
• 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.
Job 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).
Benefits
- Work from home flexibility
- Professional development opportunities
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