Senior AI Product Owner Manager (Remote)

IQVIA•Durham, NC

2d•Remote

About The Position

We are seeking a Senior AI Product Owner to lead the execution‑level ownership of Agentic AI products across Proof of Concept, MVP, and Production. This role is responsible for translating product intent and business needs into clear, testable, agent‑ready requirements, and for ensuring that autonomous and semi‑autonomous agents deliver the expected outcomes in real‑world, regulated environments. Operating as part of the ATS CAITI Core Development Team, the AI Product Owner Manager leads and line‑manages a team of Product Owners and/or Business Analysts, setting clear expectations, developing product execution capabilities, and ensuring consistent ways of working across agentic initiatives. The role owns the product backlog, acceptance criteria, and Definition of Ready, and serves as the primary execution‑time liaison between Product, Engineering, Architecture, QA/Validation, and Business.

Requirements

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 the product development lifecycle.
Proven ability to work with cross‑functional teams and deliver high‑quality software solutions.
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 HITL 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.

Responsibilities

Lead the execution‑level product ownership of Agentic AI solutions across Proof of Concept, MVP, and Production, ensuring delivery of defined outcomes in regulated environments.
Line‑manage and develop Product Owners and/or Business Analysts, setting clear expectations, providing coaching, performance management, and building consistent product execution capabilities.
Own and maintain the Agentic AI product backlog, translating business needs into clear, agent‑ready user stories, workflows, and acceptance criteria.
Define and enforce Definition of Ready and acceptance standards, ensuring stories are testable, evaluable, and 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 constraints.
Partner with AI Product Managers to support MVP scope decisions, ensuring feasibility, readiness, and alignment with 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.