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As a Product Leader (Data & AI), you will bridge the gap between abstract data strategy and commercial impact by owning the roadmap for scalable analytics products across TEG. Your mission is to drive fan engagement and revenue uplift through reusable, high-value solutions. Over the first six months, you will spearhead the delivery of internal and client-facing platforms—partnering with stakeholders to define feature sets, socialize roadmaps with leadership, and embed a product-led mindset that turns data into tangible business value.
Job Responsibility:
Bridge the gap between abstract data strategy and commercial impact by owning the roadmap for scalable analytics products across TEG
Drive fan engagement and revenue uplift through reusable, high-value solutions
Spearhead the delivery of internal and client-facing platforms
Partner with stakeholders to define feature sets
Socialize roadmaps with leadership
Embed a product-led mindset that turns data into tangible business value
Embed a product-led mindset for data and analytics across both internal TEG team and external promoters and venues
Own the analytics and AI product roadmap
Lead end-to-end design, prioritisation, and delivery
Partner with internal teams and external clients to define tiered product roadmaps
Implement strong governance and delivery frameworks
Champion product development best practices
Actively engage with senior leadership to socialise roadmaps, report progress updates, and demonstrate value
Requirements:
7+ years experience driven product success in fields of Data Science, Advanced Analytics or AI
Proven track record of delivering high-impact analytics and AI products that generate clear commercial ROI
Ability to provide strategic direction to internal teams and external clients, translating complex data capabilities into actionable business features
Strong command of product management frameworks (Agile, MoSCoW, RACI) and a disciplined approach to governance and delivery
Strong understanding of the data and AI platform ecosystem, including data platforms, adtech, martech, and CRM systems
Solid understanding of data science, artificial intelligence, and machine learning engineering concepts
Demonstrated experience working effectively in environments that fuse product, technology, data, and design practices
Exceptional written and verbal communication skills, with the ability to translate complex technical concepts into clear, engaging narratives for executive stakeholders