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Metro location, common product title, and recognizable brand increase applicant competition.
Core product skills are transferable, but emphasis on data, sports/media and AI increases domain specificity.
Explicit 9+ years requirement and domain product expertise make shortlisting highly selective.
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Own end-to-end product management for Sports Product initiatives including AI-assisted insights, dashboards, data taxonomy, and platform modernization.
Lead product discovery, roadmap planning, and delivery to align customer value with business goals across data collection to customer-facing experiences.
Collaborate cross-functionally with engineering, design, data, and commercial teams to deliver scalable, AI-enabled, unified sports data products.
9+ years of experience in product management.
Experience with data products, operational processes, or workflow-oriented software.
Knowledge of data structures, taxonomy, data transformations, and their impact on user experience.
Experience working effectively with engineering, design, and data teams; Agile development methodology experience.
Experienced in managing AI-enabled product features and platform modernization in data-rich environments such as sports, media, or sponsorship analytics.
Comfortable translating strategy into measurable outcomes using data-driven decision making and iterative delivery.
Skilled at leading complex product initiatives involving multiple stakeholders and evolving technical domains (AI, data taxonomies, integration).