VP, Data Science and Analytics

Pearl Health

110d • $240,000 - $280,000

About The Position

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.

Requirements

• 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.

Responsibilities

• 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.
• 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.

Benefits

• Base Salary Range: $240,000 - $280,000 per year.
• Discretionary performance bonus and equity options.
• Competitive benefits package.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: Ph.D. or professional degree