Job description
Pacific Crest Elite Sports is seeking a dynamic Manager, Player Development & Performance Analytics to join our elite team in Los Angeles. You will blend data science with hands-on athlete development to maximize on-field performance, recovery, and long-term player growth. This is a high-visibility role that partners with coaching, medical, and operations to drive a culture of excellence.
As a key member of our performance group, you will design and implement data-informed development programs, build dashboards, and translate analytics into actionable insights for players and coaching staff.
Responsibility
- Design and implement data-informed player development plans across performance, conditioning, and recovery domains.
- Collaborate with coaches, medical staff, and analytics to align technical decisions with athlete goals.
- Develop and maintain performance dashboards, KPIs, and reporting for leadership and stakeholders.
- Lead scouting and talent development initiatives to identify high-potential players.
- Manage project plans, timelines, and cross-functional communication to ensure program success.
- Monitor player progression, adjust programs based on data, and oversee injury prevention strategies.
- Present findings and recommendations to executive leadership and coaching staff.
Qualification
- Bachelor's degree in Kinesiology, Exercise Science, Statistics, Data Science, or a related field; advanced degree preferred.
- 7+ years of experience in athletic development, sports performance, or analytics within professional or high-performance environments.
- Proficiency with data analysis tools (SQL, Python/R) and visualization platforms (Tableau, Power BI, etc.).
- Strong understanding of performance metrics, training adaptation, and injury prevention.
- Excellent collaboration and communication skills; ability to influence at coaching and executive levels.
- Experience with video analysis and biomechanical assessment is a plus.
- Project management experience with a track record of delivering cross-functional programs.