Associate Director, Product Management, IQVIA Digital

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. The Associate Director, Product Management, leads product execution for AIMXR’s identity-resolution and contextual intelligence capabilities, managing a team of Product Owners and collaborating with cross-functional teams to deliver customer value.

Responsibilities:

• Develop and coach Product Owners, each owning a distinct set of features within AIMXR
• Establish clear goals, operating rhythms, and delivery standards for the PO team (definition of ready/done, acceptance criteria, discovery cadences)
• Ensure consistency in requirements quality, backlog hygiene, and release readiness across feature areas
• Promote a culture of customer empathy, measurable outcomes, and continuous improvement
• Partner with PMs to understand market problems, target segments, and outcome goals; convert PM-defined strategy into executable product plans (epics, features, releases)
• Contribute actionable input during planning (risks, dependencies, sequencing) while keeping alignment with PM-owned strategy and prioritization
• Translate business objectives into clear success metrics and acceptance criteria for delivery teams
• Own near- and mid-term roadmaps for assigned AIMXR components; maintain transparent views of scope, dependencies, and release timing
• Lead backlog refinement, story mapping, and estimation with engineering; ensure stories are testable, valuable, and trace to outcomes
• Make day-to-day tradeoffs on scope and sequencing to protect delivery dates and quality, escalating strategic reprioritization decisions to PMs as appropriate
• Partner with engineering, data science, and architecture to shepherd features from discovery through GA; clarify requirements, edge cases, and non-functional needs
• Coordinate with privacy/governance partners to incorporate compliance requirements into definitions of done
• Align with documentation, enablement, and GTM teams to ensure feature readiness (release notes, guides, training materials, and internal demos)
• Serve as a senior product point-of-contact for internal stakeholders and select client conversations to explain capability behavior, roadmap intent, and release plans
• Collect feedback from users, delivery, and support teams; synthesize into user stories and backlog updates
• Validate outcomes post-launch via telemetry and customer feedback, and feed learnings back into PM-owned strategy discussions
• Define and track feature-level KPIs (adoption, utilization, performance, quality)
• Run lightweight experiments and A/B validations where applicable; socialize results and next steps
• Improve team flow (lead time, throughput, predictability) and strengthen discovery/delivery practices across your PO team

Requirements:

• To be eligible for this position, you must reside in the same country where the job is located
• Bachelor's degree required
• US Remote with approximately 10% travel required
• Experience working with enterprise life sciences and pharmaceutical customers or regulated data products
• 7+ years' experience as a Product Owner/Senior PO (or equivalent PM role) delivering software/data products at scale with demonstrated success managing and developing Product Owners or similar IC product roles
• Strong backlog management, story writing, and acceptance‑criteria discipline; expert in agile/lean delivery practices
• Product marketing experience, preferably in AdTech, MarTech, or digital marketing solutions, with exposure to healthcare/life sciences marketing
• Proven ability to partner with PMs: executing against strategy, flagging risks, and translating outcomes into releasable increments
• Excellent communication and facilitation skills across engineering, data, UX, privacy, and customer‑facing teams
• Experience with audience segmentation and targeting products, behavioral data, or digital engagement signals, AI/ML, or predictive modeling (practical application vs theory)
• Experience with large‑scale data/analytics platforms, identity resolution, or contextual intelligence
• CSPO / CSPM certification for agile/scrum, preferred
• Familiarity with cloud data stacks (e.g., AWS, Snowflake) and data governance/privacy considerations