Own the product lifecycle for reporting and visualisation within iP end to end, from discovery through release and iteration

Build a strong working understanding of the data architecture and reporting infrastructure that powers reporting and visualisation across iP, partnering closely with data engineers and platform teams

Define and manage a prioritised roadmap for reporting, dashboards and data visualisation capabilities, balancing customer requests with platform scalability

Work closely with the existing Product Owner to translate roadmap priorities into well-scoped delivery, ensuring smooth execution and a shared understanding of trade-offs across the team

Partner with engineering to understand the data modelling, query performance and architecture trade-offs that shape what's possible in reporting and visualisation

Own product direction for iP's API and integrations platform capabilities, working with engineering leadership on developer experience, integration patterns and third-party connectivity

Manage the relationship with our strategic third-party technology partners, including a major global technology partner, driving continued alignment, joint planning and innovation

Lead implementation and go-to-market of AI capabilities delivered through that partnership, from initial rollout through to ongoing customer adoption

Own usage and cost analysis for these partner-delivered products, ensuring the value and efficiency of that investment is clearly understood as adoption scales

Develop a deep understanding of how sports organisations use data and reporting day to day, building strong relationships with customers and internal stakeholders

Define clear success metrics for your product area and use data to guide decisions and measure outcomes

Build and communicate a commercial case for roadmap investments, connecting product decisions to business outcomes such as retention, expansion and customer value

Communicate progress, risks and trade-offs clearly to both technical and non-technical stakeholders

Collaborate with Sales, Customer Success and Marketing to support successful go-to-market execution

Technical background in data analytics, reporting or data visualisation tools, with a solid understanding of how BI platforms, semantic layers and data pipelines work

Comfortable engaging with data and backend engineers on data models, schemas and system architecture at a working technical level

Experience owning or contributing to API, developer platform or integrations products, with working familiarity with APIs (REST, GraphQL or similar) and integration patterns

Experience managing strategic technology or platform partnerships, ideally including large global technology providers, to drive alignment and joint roadmap innovation

Experience taking AI-powered capabilities from implementation through to go-to-market, including working with Sales and Marketing on positioning and launch

Comfortable analysing product usage and cost data to inform decisions about scaling, adopting or optimising a partner-delivered capability

Strong understanding of the full product development lifecycle, from discovery through release and ongoing iteration, and experience working closely with a Product Owner or delivery lead to keep execution on track

Excellent client-facing and stakeholder management skills, with experience translating complex, often technical, user needs into clear product requirements

Customer-centric mindset with the ability to incorporate both qualitative and quantitative inputs into decision-making

Commercially minded, with a clear understanding of how product decisions influence revenue, retention and customer value

Proficient in using AI tools, such as Claude, Gemini or similar, to accelerate discovery, research, prototyping and decision-making

Experience working cross-functionally with engineering, design, sales and customer success to drive results

Comfortable making decisions with incomplete information and managing trade-offs across scope, quality and time

Excellent written and verbal communication skills, at direct-to-customer standard

Entrepreneurial, self-motivated and highly organised

Prior experience owning a reporting, analytics, BI or data visualisation product

Experience working with or within professional sports organisations, clubs, federations or leagues

Familiarity with sports performance, sports science or athlete health workflows