Senior Product Manager – Product Solutions

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Precision Medicine Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🧬 Biotechnology

⚕️ Healthcare Insurance

💊 Pharmaceuticals

💰 $35.2M Venture Round on 2021-03

Biotechnology • Healthcare Insurance • Pharmaceuticals

Precision Medicine Group is a global team of experts that specializes in precision medicine, which combines advanced lab sciences, translational informatics, regulatory affairs, payer insights, and marketing communications. The company focuses on overcoming product development and commercialization challenges for pharmaceutical and life sciences clients. Their services include biomarker-driven research and development, as well as commercialization support for life science organizations from launch to product maturity. Precision Medicine Group operates through two main arms: Precision for Medicine and Precision AQ, specializing in clinical and commercial solutions respectively.

📋 Description

• Define and own the product vision, architecture and implementation strategy, and roadmap for a suite of healthcare data products spanning the U.S. payer and market access landscape. • Drive multi-product roadmap planning, identifying opportunities to extend core data assets into adjacent product lines and new use cases. • Translate complex business needs into actionable product priorities by collaborating with cross-functional stakeholders across engineering, content, delivery, and commercial teams. • Define and track product KPIs — including data completeness, fill rates, classification accuracy, refresh timeliness, and client adoption — to inform roadmap prioritization and demonstrate product value. • Conduct independent market and domain research to stay ahead of evolving payer dynamics, benefit design trends, and regulatory shifts that impact product positioning. • Manage relationships with third-party healthcare data vendors; evaluating data quality, negotiating source activation/deactivation, and ensuring seamless integration of vendor feeds into core product pipelines. • Define and govern the data models and classification frameworks that represent complex payer ecosystems, benefit structures, and access relationships by partnering with engineering to ensure precision, scalability, and clarity. • Establish and enforce data standards, business rules, and classification methodologies that ensure consistency, accuracy, and long-term scalability across products. • Define integration requirements that allow internal data assets to interoperate seamlessly with diverse third-party healthcare datasets (e.g., formulary, claims, reference data) while maintaining vendor-agnostic principles. • Design and maintain product governance processes — including refresh cadences, issue resolution workflows, and continuous improvement mechanisms. • Define quality assurance standards and monitoring protocols and work with engineering and analytics teams to implement automated frameworks using SQL, cloud data platforms, and BI tools to proactively safeguard data integrity. • Lead, mentor, and grow a cross-functional product team — fostering a culture of ownership, curiosity, and continuous improvement. • Own the full talent lifecycle — from defining role requirements and designing assessments to interviewing, onboarding, and retaining high-caliber talent. • Drive performance management with intentionality — delivering structured feedback, managing career development conversations, and recognizing contributions that reinforce a high-performance culture. • Serve as a trusted product authority for internal consulting and commercial teams — translating complex data concepts into clear, actionable guidance for client-facing conversations. • Lead the resolution of complex client-reported data issues — conducting root cause analysis, quantifying business impact, and delivering clear corrective actions. • Manage the design and delivery of client-specific data solutions — balancing customization needs with core product integrity and scalability. • Own external product communications — authoring updates, newsletters, and release notes that keep clients informed on product evolution. • Build internal enablement programs — training consulting and engagement teams on product nuances, interpretation, and effective client storytelling. • Drive operational excellence by standardizing processes, introducing automation, and strengthening governance to reduce risk and improve throughput. • Build structured documentation, onboarding frameworks, and knowledge repositories that ensure product continuity and reduce single-point-of-failure risk.

🎯 Requirements

• 8+ years of experience in product management, healthcare analytics, or pharmaceutical market data solutions, with at least 3 years focused on U.S. payer/market access data products. • Deep understanding of the U.S. healthcare payer ecosystem, including PBM structures, benefit design, and market access dynamics. • Hands-on experience integrating and working with diverse healthcare datasets — including formulary, claims, and reference data. Preferably worked on commercial healthcare datasets such as MMIT, DRG, IQVIA, Symphony and others • Strong technical proficiency in SQL, cloud-based data platforms (e.g., Snowflake), Excel, and BI tools (e.g., Power BI). • Demonstrated ability to build, lead, and develop high-performing teams in distributed or global settings. • Exceptional communication skills — both written and verbal — with the ability to distill complex data concepts for diverse audiences. • Strategic thinker with a consultative mindset and strong problem-solving instincts. • Proven ability to navigate organizational change — including leadership transitions, operating model redesign, and cross-functional alignment. • Full-cycle talent management experience — hiring, performance reviews, career development, and team culture building. • Comfort operating at the intersection of product, data, and client engagement — with the judgment to balance competing priorities. • Familiarity with SaaS/data product commercialization and client contract structures. Exposure to pricing models and revenue impact is a nice-to-have.