Job Title: Engagement Manager Sports Analytics
Location: New York City, NY (Hybrid preferred 3 days onsite)
Type: Full-time
Role Overview
We are seeking an Engagement Manager Sports Analytics to lead client-facing analytics and AI initiatives for a premier consulting client in the Sports, Media & Entertainment space. This role sits at the intersection of advanced analytics, sports domain expertise, and stakeholder leadership.
The Engagement Manager will own analytics workstreams end-to-end, translate data science outputs into actionable recommendations, and partner with client stakeholders to drive adoption and measurable impact. This is a consulting delivery role and not a pure individual contributor or sales position.
What We Are Looking For:
Sports Analytics & Domain Exposure
Exposure to sports analytics, sports performance data, or player-level analytics
Experience working with sports event data, tracking data, or performance metrics
Understanding of player roles, performance indicators, and game-level analytics concepts
Football or professional sports exposure preferred
Analytics Leadership & Delivery
7+ years of experience across analytics, data science, or advanced analytics roles
Experience leading analytics projects or workstreams end-to-end
Ability to structure ambiguous analytical problems into clear workplans and deliverables
Oversight of model development and analytical outputs (guidance rather than day-to-day coding)
Client & Stakeholder Management
Act as the primary point of contact for client stakeholders on analytics initiatives
Translate analytical findings into clear, executive-ready insights
Manage expectations, timelines, risks, and delivery milestones
Partner with business and technology stakeholders to define success metrics
Team & Cross-Functional Collaboration
Guide and review work produced by data scientists, analysts, and BI teams
Collaborate with data engineering and platform teams to operationalize analytics solutions
Ensure analytical rigor and best practices across deliverables
Data, Tools & Platforms
Strong understanding of Python-based analytics and machine learning workflows
Working knowledge of SQL for analysis and validation
Familiarity with machine learning frameworks such as scikit-learn; PyTorch or TensorFlow is a plus
Experience working with visualization tools such as Tableau or Power BI
Awareness of analytics platforms such as Databricks and basic MLOps concepts
Required Qualifications
Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
10+ years of experience in analytics, data science, or advanced analytics roles
Proven experience in client-facing or consulting delivery environments
Ability to lead analytics engagements and influence senior stakeholders
Strong communication and stakeholder management skills
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