Program Manager, Sports Data and Analytics

About the Role

Key Responsibilities

• Lead the vision and strategy for new Sports Analytics services within the DP2 team, aligning efforts to support the holistic health, wellness, and development of student-athletes.
• Provide data science support for the sports science and performance technology service area by developing a roadmap to a centralized health and performance data infrastructure that reflects best practices in ETL processes and improves usability for analysis and reporting.
• Drive innovation and quality improvement in data-driven processes across DP2 service areas, including sports science, sports medicine, strength and conditioning, sport and counseling psychology, leadership and mental performance, academic support, and career development.
• Evaluate and improve the quality and operational efficiency of existing reporting tools and systems.
• Manage and mentor student workers contributing to performance data and/or sports analytics projects for DP2 and varsity teams.
• Serve as an educator and liaison to keep coaches informed of developments in sports analytics in the broader landscape of their sports.
• Advise sport programs on integrating new and existing data streams into their operations, including third-party vendors where relevant.
• Assist the athletics department with various data processes and projects related to admissions, academic progress, finance, recruiting, and other areas as needed.
• Contribute to the mission of the Kirsten and Eugene F. “Buddy” Teevens '79 Center for Peak Performance initiative by driving research and innovation in performance science.
• Cultivate collaborations with faculty, academic departments, and campus groups to advance the department's data analytics capabilities.
• Demonstrate and maintain detailed knowledge on NCAA, Ivy League, Dartmouth College, and department rules and regulations.
• Demonstrate a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others.
• Perform other duties as assigned.

Requirements

• Bachelor's degree in a quantitative field (statistics, computer science, economics, STEM, etc.).
• Minimum of three (3) years of experience leading data-driven projects on cross-disciplinary teams, preferably within a sports organization.
• Advanced skills and proficiency in data analytics and computer programming languages and tools such as R, Python, SQL, and GitHub.
• Strong understanding of data architecture, ETL processes, and the ability to set up and manage efficient data infrastructures with diverse data sources.
• Excellent skills in data visualization with experience creating reports, dashboards, and interactive tools (e.g., PowerBI, Shiny Apps).
• Strong quantitative reasoning and the ability to apply analytical skills to impact athletic performance and student-athlete development.
• Proven ability to manage multiple complex projects, balance competing priorities, and drive projects to completion.
• A passion for sports, sports analytics, and teaching key principles of these to diverse learners.
• Willingness to work collaboratively as part of a larger integrated support team.
• Ability to work a non-standard work week which may include nights, weekends, and holidays.

Nice to Have

• Graduate degree in sports analytics or related field.
• Prior experience on a sports analytics or R&D team in a professional or Olympic sports environment.
• Knowledge and/or prior working experience with athlete health and performance data sources.
• Strong academic background (teaching or research) in sports science or sports analytics.

Qualifications

• Educational background includes a Bachelor's degree or equivalent in a relevant quantitative field.

Benefits & Perks

• Not specified in the description.