Program Manager, Sports Data and Analytics – Dartmouth College (Hanover, NH)

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The Program Manager for Sports Data and Analytics is a new position within Dartmouth College Athletics and Recreation. Reporting to the Executive Associate Athletics Director for Peak Performance, this role will lead the development and implementation of new Sports Analytics services within the Dartmouth Peak Performance (DP2) team—an interdisciplinary support team helping varsity student-athletes maximize their potential as students, athletes, and people during their time at Dartmouth. Additionally, it will provide data science support to existing sports science and performance technology service area.

 

This role requires frequent interaction with DP2, sport coaches and staff, athletics administration, campus and industry colleagues. The successful candidate will be responsible for working across these domains to create and manage data infrastructures, systems, and processes that elevate the health, performance and competitive excellence of Dartmouth’s varsity athletics programs. This role requires advanced technical expertise in sports analytics and data science, strategic planning, project management, and adaptable communication, as well as the ability to apply these effectively in a high performance academic and athletic environment.

 

Required Qualifications – Skills, Knowledge And Abilities

  • 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 demonstrated experience creating reports, dashboards and other 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
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