Pearl Health is looking to solve the business and technical problem of empowering primary care providers, health systems, and physician-led networks to succeed in the shift to value-based care by delivering 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. The VP of Data Science & Analytics will be responsible for shaping the strategic direction of data initiatives and research projects to drive these business outcomes.
Requirements
- 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.
- Extensive experience establishing and refining best practices for data governance, MLOps, and quality assurance.
- Experience pioneering the use of Generative AI to improve operational efficiency or drive product innovation.
- 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.
Responsibilities
- 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.
- Partner with executive leadership across the company to establish the DS&A team's strategic priorities and ensure bidirectional alignment with company goals.
Other
- 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.
- Exceptional ability to communicate and collaborate effectively with diverse stakeholders at all levels, including executive leadership.
- 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.
