Senior Product Manager – Reporting & Visualisation

Responsibilities

• 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

Requirements

• Track record as a Senior Product Manager in a B2B SaaS environment, owning a product area end-to-end
• 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