Job Description

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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