ConvergeSPORTS - Head Product Manager - Data and Product Engineering (Manager) -I nnovation_Delivery

The Team

ConvergeSPORTS is a product-driven business combining Deloitte's sports industry experience with proprietary data, AI-native decision intelligence, and reusable Converge capabilities.

We help sports organizations grow revenue, deepen fan engagement, optimize partnerships, and improve commercial performance while operating with the focus of a product company.

The Analytics & Insights product team builds reusable data, modeling, and decision capabilities for sports organizations.

The team works across Product Management, Data Engineering, Data Science, Software Engineering, Forward Deployed Engineering, and Go-to-Market to turn complex sports and consumer data into production-ready product capabilities.

Within Analytics & Insights, this role leads the data products and engineering capabilities that turn sports, fan, sponsorship, engagement, and commercial data into governed, reusable services, models, APIs, and activation-ready interfaces.

The team builds product-grade foundations for analytics, decision workflows, and AI-enabled experiences rather than one-off client implementations.

Position Summary

ConvergeSPORTS is seeking a Head Product Manager specializing in data and product engineering to lead the Analytics & Insights product strategy and delivery model.

You will own the vision, architecture-aligned roadmap, operating model, and cross-functional execution required to turn fragmented data into trusted, scalable product capabilities.

This is a hands-on functional leadership role for a technically fluent product leader who can guide data and software engineering priorities, establish product standards, and connect foundational investments to adoption, reliability, and commercial outcomes.

Recruiting for this role ends on 09/22/2026.

Work you'll do

As the product leader for data and product engineering within Analytics & Insights, you will set the strategy and operating rhythm for data products, shared services, and reusable engineering capabilities while working day to day with Data Engineering, Product Engineering, Data Science, Design, Forward Deployed Engineering, and Go-to-Market leaders.

Your work will include:


* Define and own the multi-year product vision, data product strategy, roadmap, and outcome metrics for shared data and product engineering capabilities.


* Establish the product model across data ingestion, identity resolution, audience profiles, semantic models, data products, APIs, activation services, and developer-facing capabilities.


* Translate market and product needs into prioritized product epics, data contracts, interface specifications, nonfunctional requirements, acceptance criteria, and release plans.


* Partner with Data Engineering and Product Engineering leaders to shape reference architecture, reusable services, integration patterns, cloud platform choices, technical-debt priorities, and build-versus-buy decisions.


* Set product requirements and standards for data quality...