Data Product Manager

The Data Product Manager will drive forward the evolution of Target RWE’s research data products, spanning both existing retrospective datasets and the development of new, differentiated offerings. This role is central to building high-quality research datasets derived from EHR data across Target RWE’s network of clinical sites, as well as linked data sources such as claims. The Product Manager will lead cross‑functional initiatives, including the development of novel research variables and the implementation of AI‑enabled data curation  will partner closely with quantitative sciences, engineering, clinical, and data curation teams to translate clinical and scientific needs into robust, customer‑ready data products.

This role requires deep familiarity with healthcare data and EHR documentation patterns, strong clinical research acumen, and the ability to apply clinical insight to ambiguous data challenges. The Data Product Manager reports to the Head of Data Innovation and is a core member of the Product organization.

• Own and drive cross‑functional work streams to build, maintain, and evolve Target RWE’s research datasets.
• Maintain product roadmaps for clinical research datasets in hepatology and other disease areas, incorporating input from stakeholders.
• Oversee end‑to‑end preparation and delivery of research datasets to customers.
• Manage customer‑facing documentation, including analytic guides, training materials, and dataset documentation.
• Ensure data product quality by maintaining and prioritizing a backlog of enhancements and leading cross‑functional investigations and improvements.
• Assist in the development of new research variables, from conceptual design through implementation, incorporating feedback from clinical and scientific experts.
• Design and conduct exploratory analyses of EHR data to understand how variables of interest are captured in real‑world clinical documentation.
• Partner with engineering to pilot AI‑based curation approaches, evaluate performance, and drive iterative improvements.
• Develop abstractor guidance and specifications, in collaboration with clinical and data curation teams, to produce gold‑standard datasets for AI model training.
• Interface with pharma customers to educate them on Target RWE’s data products, answer questions, and understand real‑world usage and needs.

• Deep experience working with healthcare data, including EHR data and other patient‑level data sources such as claims.
• 5+ years of experience in healthcare data, real‑world evidence, or clinical research.
• Strong ownership mindset with a track record of delivering high‑quality, complex work.
• Comfort with clinical concepts and the ability to interpret real‑world EHR documentation; enthusiasm for building domain expertise in relevant disease areas.
• Strong data intuition, including understanding data models, designing basic analyses, and interpreting results.
• Comfort operating in ambiguous, evolving problem spaces.
• Ability to shape initiatives from the ground up, provide structure, and clearly scope work for cross‑functional teams.
• Proven ability to drive complex initiatives and serve as the “quarterback” in a collaborative, cross‑functional environment.
• Excellent written and verbal communication skills, including direct experience working with external customers.
• Familiarity with healthcare data standards and terminologies (e.g., LOINC, RxNorm, SNOMED) preferred.
• Clinical background (e.g., RN, NP) strongly preferred.

If you are ready to be part of a team where your work truly matters – where your expertise isvalued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it.

• Hybrid + remote work environment
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave

Hybrid role:
Located in Research Triangle Park, North Carolina