THE OPPORTUNITY

As the VP of Data Science & Analytics, you will be a pivotal leader responsible for shaping the strategic direction of our data initiatives and research projects. Reporting to our Chief Data Science Officer, you will drive the delivery of high-impact solutions that directly influence business outcomes and our ability to empower providers in the shift to value-based care. This is a unique opportunity for a visionary leader with deep technical expertise to build and scale a high-performing team, foster a culture of technical excellence, and translate complex research into tangible value.

WHO WE ARE

Pearl Health is dedicated to empowering primary care providers, health systems, and physician-led networks to succeed in the shift to value-based care. Our platform delivers the technology, financial tools, and expert services that enable practices to provide more proactive, effective care to their Medicare patients, ultimately lowering costs and improving health outcomes.
Founded in 2020, we are a team of healthcare and technology innovators backed by premier investors like Andreessen Horowitz, Viking Global Investors, and AlleyCorp. We partner with thousands of providers across 44 states to build a more sustainable future for American healthcare.

WHAT YOU’LL DO

You will lead a critical function responsible for shaping our Data Science & Analytics strategy, managing the execution of research projects, and ensuring the delivery of solutions that drive our business forward. Your leadership will be essential in establishing best practices, stewarding the careers of talented managers and researchers, and cultivating a culture of innovation and strategic impact.

• Partner with executive leadership across the company to establish the DS&A team’s strategic priorities and ensure bidirectional alignment with company goals.
• Lead, mentor, and develop a team of DS&A managers and Principal Data Scientists, fostering their professional growth and career progression.
• Define the team’s multi-year research trajectory in collaboration with the Chief Data Science Officer, identifying new opportunities and fostering innovation.
• Establish and refine robust frameworks and best practices for research, quality assurance, and operational efficiency to maximize your team’s impact.
• Collaborate with Engineering and Technical Operations leadership to envision and build a scalable, secure MLOps environment that meets future research and product needs.
• Pioneer the application of Generative AI within DS&A operations to amplify the team’s impact and serve as a model for broader company adoption.
• Communicate complex technical concepts and strategic initiatives clearly and persuasively to executive leadership, investors, and external partners to influence critical decision-making.

This role might not be for you if:

• You are not passionate about the people-management aspects of leadership, including mentorship, talent retention, and career development.
• You prefer to focus solely on deep technical work with limited cross-functional collaboration or executive-level communication.
• You prefer a highly stable, predictable corporate environment over a dynamic, high-growth setting

The expected offer for this role includes the following components:

• Base Salary Range: $240,000 - $280,000 per year.
• Additional Compensation: This role is eligible for a discretionary performance bonus and equity options.
• Benefits: We offer a competitive benefits package. You can learn more on our benefits page

While steps may vary by role, you can typically expect:

• Recruiter Screen: An intro call to discuss your background and motivations.
• Hiring Manager Interview: A deeper-dive conversation with your potential manager.
• Panel Interview: A round of meetings with teammates and cross-functional partners.
• Case Assignment/Presentation: A practical exercise inviting you to solve a real-world problem or relevant challenge.
• Executive Interview: Final conversation(s) with 1-2 of our leaders