Hiring: ConvergeSPORTS - Head Product Manager - Data and Product Engineering (Manager) - Innovation_Delivery_Transformation Company: Deloitte Location: Houston, TX Job Posted Time: 2026-09-10 11:02:14 Target Skills & Keywords : AWS, Agile, Azure, Databricks, GCP, GraphQL, Kafka, Product Management, Product Strategy, REST, SaaS, Snowflake, dbt About the job Experience: •8+ years of experience in product management, technical product management, data product management, product engineering, or software platform delivery. •5+ years of experience owning product strategy, roadmaps, backlogs, release decisions, and success measures for data products, SaaS platforms, developer products, or analytics products. •4+ years of experience partnering directly with data engineering and software engineering teams to define data models, APIs, pipelines, platform services, cloud capabilities, or production requirements. •3+ years of experience with at least two of the following: customer data products, identity resolution, CRM or loyalty data, cloud data platforms, event or batch pipelines, data governance, API products, or ML/AI product features. •2+ years of experience in sports, media, entertainment, sponsorship, fan engagement, loyalty, ticketing, or adjacent consumer industries. Required Skills: •Recruiting for this role ends on 09/22/2026. •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. Qualifications: •Bachelor's degree in Business, Engineering, Computer Science, Data Science, Information Systems, or a related field, or equivalent professional experience. •Demonstrated capacity to travel up to 25%, on average, based on client, market, and product needs. •Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Compensation: •$134,500 - $265,100 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!