VP, Data Science and Analytics

Who we are. . .

Pearl Health is powering the future of healthcare. We help primary care providers and organizations to deliver quality healthcare to the patients who need it most, when they need it most — and get rewarded for keeping patients healthy.

Our technology, services, and financial tools enable better, more proactive care, decrease total cost of care across patient panels, and optimize performance in value-based care models for Traditional Medicare and Medicare Advantage.

We are a team of physicians and public health experts (Stanford, Harvard, Mount Sinai), technologists (athenahealth, Amazon, Meta, Flatiron), healthcare innovators (Centivo, Aledade, Stellar, Arcadia), and experienced risk management professionals (CVS/Aetna, Humana, Oscar) who believe that primary care providers are the key to addressing our healthcare system’s biggest challenges.

Since its founding in 2020, Pearl has expanded to partner with thousands of primary care providers in practices and organizations across 44 states. Our investors include Andreessen Horowitz, Viking Global Investors, AlleyCorp, and SV Angel.

The role. . .

As the VP of Data Science & Analytics (DS&A), you will be a pivotal leader within Pearl Health, reporting directly to the Chief Data Science Officer. You will lead a critical function responsible for shaping the strategic direction of our DS&A initiatives and research projects, helping DS&A leadership manage the day-to-day execution of those projects, and ensuring the delivery of high-impact solutions that drive business outcomes. This role demands a visionary leader with exceptional technical depth, a proven track record of building and scaling high-performing teams, and the ability to influence at an executive level. You will be responsible for establishing best practices and standards for the team’s research, stewarding the career development of talented managers and principal-level researchers, and fostering a culture of technical excellence and strategic impact within the DS&A organization.

What you’ll bring. . .

• Strategic Leadership, Collaboration, and Vision: Partner with leadership across the company to establish and champion the DS&A team's priorities and ensure bidirectional strategic alignment. Work with these same leaders to deliver integrated, high-value, and timely solutions. Provide strategic guidance to DS&A leaders in managing complex projects, encompassing execution and critical cross-functional stakeholder alignment. Collaborate with the Chief Data Science Officer to define and evolve the team's multi-year research trajectory, identifying new opportunities and fostering innovation.

• Talent Leadership: Lead, mentor, and develop DS&A managers and Principal Data Scientists, fostering their professional growth and career progression so that they can harness the energy and talent of their reports to support Pearl’s mission.

• Technical Excellence & Research Taste: Cultivate and nurture exceptional research taste and technical rigor across DS&A leadership and their teams. Collaborate with the Principal Data Scientist and other senior talent in order to mentor, energize, and orient complicated and technically nuanced research.

• Operational Efficiency, Quality Assurance, & Risk Management: Collaborate with DS&A leadership and the Chief Data Science Officer to establish and refine internal systems and best practices, empowering the team to maximize impact by eliminating bottlenecks. Establish and refine robust frameworks to ensure the quality, rigor, and validity of team outputs are calibrated to business impact, risk, and regulatory considerations. Ensure all standard operating procedures (SOPs) adhere to statutory compliance standards and uphold a high ethical bar.

• Infrastructure & MLOps Partnership: Work closely with the VPs of Engineering and Technical Operations to envision, create, and maintain a robust, scalable, and secure MLOps environment, proactively addressing future infrastructure needs driven by research, product, and company growth.

• GenAI Application & Enablement: Pioneer the application of Generative AI (GenAI) within DS&A operations to amplify team impact and serve as a model for company-wide adoption.

• Organizational Development: Drive the long-term growth and evolution of the DS&A organization, including talent acquisition, retention, and succession planning, ensuring sustained capability to meet future business demands.

• Executive Communication: Communicate complex technical concepts and strategic initiatives clearly and persuasively to executive leadershi