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.
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.
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 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. Your experience has prepared you to champion a culture of technical excellence and strategic impact within a fast-paced, high-growth environment.
Must-haves:
An advanced degree (Ph.D. or Master's) in a quantitative field such as Data Science, Computer Science, or Statistics, or equivalent practical experience.
10-15 years of progressive experience in a quantitative field, with at least 5-7 years in senior leadership roles managing multiple teams.
A proven track record of defining, building, and scaling high-performing data science and analytics organizations within fast-paced environments.
Deep expertise in areas such as advanced machine learning, statistical modeling, experimental design, and causal inference.
A history of spearheading deep research initiatives that deliver innovative, production-ready models and drive significant business value.
Exceptional ability to communicate and collaborate effectively with diverse stakeholders at all levels, including executive leadership.
Extensive experience establishing and refining best practices for data governance, MLOps, and quality assurance.
Nice-to-haves:
Experience working in the healthcare domain.
Experience pioneering the use of Generative AI to improve operational efficiency or drive product innovation.
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.
🤝 Collaborate to Innovate: We believe the best solutions arise from intelligent teamwork. We trust the expertise of our teammates and pursue opportunities to learn and grow from each other. By embracing diverse perspectives and encouraging authenticity, we create and evangelize groundbreaking health solutions.
🗣️ Trust Through Transparency: We prioritize transparency in all our interactions, ensuring that employees, patients, clinicians and partners have access to the information they need to make informed decisions. Integrity is at the core of how we operate, from building products to fostering relationships, and is crucial to our ability to communicate openly and gain trust.
❤️ Serious Impact, Big Heart: We go above and beyond with our efforts to empower proactive, patient-centered care — and we celebrate every step forward. Humor and positivity fuel our creativity, strengthen relationships, and remind us to acknowledge the journey as much as the destination.
We are an Equal Opportunity Employer on a mission to improve lives. Our strength comes from the diverse backgrounds, experiences, and perspectives of our team. We welcome all candidates and are committed to a fair, inclusive hiring process free from discrimination.
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.
Final compensation for this role will be determined by a variety of factors, including a candidate's relevant skills, experience, labor market conditions, and location.
We are not currently working with contingency search firms. If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired.
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.
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