IQVIA

AI Program Manager

IQVIA

full-time

Posted on:

Location Type: Remote

Location: Portugal

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About the role

  • 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).
Benefits
  • Work from home flexibility
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
program managementportfolio managementrisk managementfinancial managementsoftware development lifecycleAI initiativesdata-driven environmentsvendor oversightstage-gate progressionaudit readiness
Soft Skills
cross-initiative coordinationstakeholder engagementcommunicationproblem-solvingorganizational skillsleadershipfacilitationdecision-makingcollaborationcontinuous improvement