TRG Screen - Director of Product Management - Data & Analytics

• Stabilise & Improve the Current State • Take ownership of our existing data product:  assess gaps, stabilise performance, and deliver near- term improvements that create immediate value for customers and internal teams. • Audit and rationalise a portfolio of legacy custom reports built on stored procedures: understand the business problems they solve, document them, and define a clear migration path. • Define the Data Lakehouse Vision • Define the vision and roadmap for TRG Screen's data lakehouse, grounded in deep customer research and a clear understanding of where data solutions deliver the most value. • Conduct ongoing customer discovery with clients and customer-facing teams (Customer Success, Sales, Professional Services) to ensure the roadmap reflects real customer pain and opportunity. • Work closely with the Data Architect and Database Engineer to communicate requirements clearly . You define the what and why; they own the how. • Champion an AI-first approach to visualisation and insight delivery, evaluating and selecting third-party AI tooling rather than building bespoke visualisation layers. • Build & Deliver Data Products • Define and ship customer-facing data products, including APIs, datasets, and consumption layers that customers or customer-serving teams directly use and derive value from. • Productise TRG Screen's data as a revenue stream : define how data and APIs are packaged, tiered, and commercialised for customers and partners. • In partnership with product stakeholders, own the API product strategy , defining APIs not just as technical interfaces but as sellable, scalable products with clear value propositions, entitlement models, and a developer experience that delights customers. • Partner with engineering to translate customer-driven requirements into clear, actionable briefs. • Ensure data quality, governance, reliability, and documentation across all data products. • Own the AI Data Strategy • Serve as the product owner of TRG Screen's AI data foundation : defining what data needs to be available, in what form, and to what quality standard to power AI and ML workloads. • Use customer research and Jobs to Be Done methodology to define intelligence layer product requirements: what AI-powered features and experiences customers need, handed off to technical teams for execution. • Collaborate with TRG Screen's AI strategy stakeholders to align the data product roadmap with AI product priorities. • Champion AI-first approaches to data consumption: evaluating and recommending AI-powered visualisation and insight tools. • Lead & Grow the Team • Begin as a senior individual contributor with direct leadership responsibility - you will be the data product function at TRG Screen initially. • Work in close partnership with a Database Engineer and Data Architect, providing product direction and prioritisation while they drive implementation. • Build out your team as the platform matures, with a planned trajectory to hire and lead a Product Manager and Product Owner. • Act as a player-coach: credible enough to go deep on architecture and technical decisions alongside engineering peers, while driving strategy and stakeholder conversations at the executive level.