AI Product Owner

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. They focus on accelerating the development and commercialization of innovative medical treatments to improve patient outcomes and population health worldwide.

Experience:

• 4–6+ years as a Product Owner, Technical Product Manager, or similar role delivering Agentic AI, AI, data, or workflow-driven products.
• Hands-on experience owning backlogs and requirements across PoC, MVP, and Production lifecycles.
• Proven ability to work effectively with cross-functional teams and deliver high-quality software solutions.

Agentic & Technical Background:

• Bachelor’s degree in a STEM field (Computer Science, Engineering, Data Science, Information Systems, Mathematics, or related discipline), or equivalent practical experience spanning product management, software delivery, and AI/data systems.
• Experience translating requirements for AI or Agentic systems, including workflows involving reasoning, orchestration, and human-in-the-loop patterns.
• Solid understanding of software architecture fundamentals, APIs, data flows, and agile delivery practices.
• Ability to reason about agent behavior, failure modes, and acceptance criteria, even without being the technical implementer.

• Own the execution-level product ownership of Agentic AI solutions across Proof of Concept, MVP, and Production.
• Translate business needs and product intent into agent-ready user stories, workflows, and acceptance criteria.
• Own and maintain the Agentic AI product backlog, ensuring clarity, readiness, and alignment with delivery constraints.
• Define and enforce Definition of Ready and acceptance standards suitable for autonomous and human-in-the-loop agent workflows.
• Drive backlog prioritization and refinement, balancing agent capabilities, evaluation readiness, non-functional requirements, and delivery feasibility.
• Partner with AI Product Managers to support MVP scope and sequencing decisions, ensuring feasibility and readiness against value hypotheses and success KPIs.
• Collaborate closely with Architecture, Engineering, and UX to shape agent behavior, orchestration patterns, guardrails, and exception handling early in the lifecycle.
• Act as the primary execution-time product contact for engineering teams, clarifying intent, resolving scope questions, and validating delivered outcomes.
• Own story acceptance and UAT, ensuring delivered agent behavior meets defined success criteria, quality expectations, and regulatory requirements.
• Manage the post-release backlog for enhancements, defects, and agent tuning, informed by telemetry, user feedback, and operational insights.

IQVIA maintains a zero tolerance policy for candidate fraud. All information and credentials submitted must be truthful and complete. False statements, misrepresentations, or material omissions during recruitment will result in disqualification or termination of employment in accordance with applicable law.