Personalization Science Product Leader

New

IQVIAHealthcare marketing

This is a remote/WFH opportunity available to candidates currently residing in the United States.Full-TimeDirector

Salary121,400 - 338,400 USD per year

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Job Details

Bring 8–12+ years of product management experience.
Have experience delivering data-driven or platform-based products.
Have a background in marketing technology (martech/adtech), data and analytics platforms, or healthcare, life sciences, or regulated industries.
Have experience with audience segmentation and targeting products.
Have experience working with behavioral data or digital engagement signals.
Have practical experience with AI/ML or predictive modeling.
Be able to translate complex data and technical concepts into clear product value propositions.
Be comfortable operating in ambiguity and driving product delivery.
Have experience working cross-functionally across technical and commercial teams.
Have strong communication skills and the ability to influence senior stakeholders.
Preferred: Experience in HCP engagement or pharma commercialization.
Preferred: Familiarity with identity resolution, privacy frameworks, and consent-driven data ecosystems.
Preferred: Experience integrating products with third-party platforms or open ecosystems.

Define and execute the roadmap for personalization and audience products.
Identify opportunities to expand personalization capabilities across channels, use cases, and client segments.
Lead product development from concept through launch and iteration.
Partner with engineering and data science to build scalable SaaS-based solutions integrated into a broader martech ecosystem.
Translate clinical, behavioral, and engagement data into productized insights and targeting solutions.
Drive identity resolution, audience building, predictive models, intent signals, and real-time or near-real-time engagement triggers.
Engage pharma clients, agencies, and internal commercial teams to validate product-market fit, gather requirements, and prioritize features.
Support go-to-market positioning, packaging, and pricing, and partner with sales and client teams to drive adoption, growth, and retention.
Track product KPIs, including usage, revenue contribution, and client outcomes.
Align product, engineering, data science, and commercial stakeholders, and ensure products meet privacy, compliance, and consent standards.

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