Job Title: Account Manager - Analytics
Location: NYC - Hybrid - 3 days per week
Duration: Fulltime
About the Role
seeking an elite football professional to join our Sports & Entertainment division. In this high-impact, project-based role, you will act as a strategic advisor and technical lead, bridging the gap between advanced data science and on-field football operations. You will be instrumental in executing our 2026 strategic plan, which focuses on providing the clubs AI-driven decision support.
Responsibilities
Key Responsibilities
AI Strategy & Generative AI Innovation
Framework Development: Define and lead the AI strategy across both football and business functions, identifying high-value opportunities for Machine Learning (ML), Computer Vision, NLP, and Generative AI
Prototyping & Execution: Develop and deploy lightweight prototypes, specifically focused on automated personnel reporting and AI-powered prospect research agents.
Governance: Establish AI governance policies, ensuring ethical use, model transparency, and data privacy compliance.
Football Analytics & Modeling
Predictive Frameworks: Oversee the development of predictive models, simulation tools, and optimization frameworks tailored to draft analysis, roster construction, and in-game strategy.
Data Integration: Synthesize tracking, biometric, and scouting data into actionable insights for the General Manager and coaching staff.
Model Refinement: Build and scale player trait models through transformers and advanced ML operations (MLOps)
Business & Stakeholder Engagement
Translate analytical findings into clear, actionable insights for non-technical stakeholders such as coaches, analysts, management, or clients.
Support the development of analytics-driven products, dashboards, and reporting solutions.
Data & BI Engineering Optimization
Automation: Create standardized, pre-made data transformations to automate repeatable Excel-based requests for the front office.
Infrastructure Support: Support the migration to Databricks and the launch of the MLOps platform to unlock advanced AI tools.
Strategic Reporting: Deliver detailed coaching performance and prospect reports with minimal bias and high execution velocity.
Qualifications
Master s or PhD in Data Science, Statistics, Mathematics, Computer Science, Sports Analytics, or a related field.
5+ years of experience in data science, with demonstrated experience in sports or football analytics preferred.
Strong programming skills in Python and/or R; experience with SQL.
Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Solid foundation in statistics, probability, and experimental design.
Strong communication skills with the ability to explain complex analyses to non-technical audiences.
Direct experience working with football event data, tracking data, or performance analysis tools.
Experience in visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).
Familiarity with MLOps, model deployment, and version control (e.g., Git).
Understanding of football tactics, player roles, and performance metrics.
Must have:
Advanced AI & Machine Learning Expertise
Communication & Stakeholder Translation
Football Domain Knowledge & Analytics
Predictive Modeling & Data Science
Programming skills: Python and/or R; experience with SQL
Strategic Thinking
Never miss an opportunity! Create an alert based on the job you applied for.