Vice President, Data Science and Analytics

Pearl Health

full-time

Posted on: 9/5/2025

Location: Massachusetts, New York, Washington • 🇺🇸 United States

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💰 $240,000 - $280,000 per year

Lead

About the role

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.

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.