ConvergeSPORTS - Head Product Manager - Data and Product Engineering; Manager; Innovation_Delivery_Transformation

The Team

Converge SPORTS 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.

Converge SPORTS 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.

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, lineage, metadata, observability, privacy, consent, access controls, testing, reliability, and production support.
• Lead roadmap and backlog decisions for Analytics & Insights capabilities consumed by product teams, Data Science, Forward Deployed Engineering, and Go-to-Market teams.
• Define AI-native and agentic product capabilities, including governed data access, retrieval and tool interfaces, evaluation criteria, human review points, and guardrails.
• Build and lead the product operating cadence across discovery, architecture reviews, backlog grooming, sprint planning, demonstrations, release readiness, adoption reviews, and incident learning.
• Create implementation, configuration, and onboarding patterns that reduce the time required to integrate new clients and datasets while protecting reusable architecture and product scalability.
• Own adoption, commercialization, and value measures, including data quality, integration time, service reliability, reuse, feature adoption, cost to serve, client impact, and commercial contribution.

• Technical product leadership that connects data architecture, data engineering, software engineering, and end‑user value.
• Systems thinking across data domains, APIs, services, product workflows, security, reliability, and operating constraints.
• Ability to make clear portfolio and roadmap tradeoffs across foundational data and engineering work, customer needs, technical debt, and commercial priorities.
• Executive-ready communication and influence across Product, Engineering, Data Science, Delivery, Sales, and account leadership.
• Team-building and coaching skills that create accountability, decision clarity, and high-quality product execution across distributed teams.
• Hands‑on ownership style with a willingness to write requirements, inspect data models and APIs, review prototypes, interrogate metrics, and support demonstrations.

Required:

• Bachelor's…