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
-
Bachelors or Masters 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
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 ...
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
-
Bachelors or Masters 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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