Senior Product Manager – Reporting, Visualisation

Kitman Labs

Senior Product Manager responsible for reporting and visualisation in Kitman Labs' platform. Driving product lifecycle and collaborating with engineering teams to enhance insights for sports professionals.

Posted 7/8/2026full-timeRemote • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing the product lifecycle for reporting and visualization, with a strong focus on data analytics, API integrations, and strategic partnerships. Capable of translating complex user needs into actionable product requirements while driving customer value and business outcomes.

Highest-signal resume keywords

Senior Product Manager ExperienceData Analytics and Reporting ToolsAPI and Integrations FamiliarityAI-Powered Capabilities ImplementationStakeholder Management Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Lifecycle ManagementData VisualizationAPI DevelopmentData ModellingCost AnalysisBusiness Intelligence PlatformsData Pipeline UnderstandingTechnical Background in Data AnalyticsSuccess Metrics DefinitionCommercial Case Development

Soft Skills

Client-Facing SkillsCustomer-Centric MindsetExcellent Communication SkillsOrganizational SkillsEntrepreneurial Spirit

Tools & Technologies

AI Tools (Claude, Gemini)B2B SaaS PlatformsReporting InfrastructureData Visualization ToolsIntegration Patterns

Industry Keywords

Professional Sports OrganizationsSports PerformanceSports ScienceAthlete Health WorkflowsStrategic Technology Partnerships

Tech Stack

Tools & technologies

GraphQL

About the role

Key responsibilities & impact

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

What you’ll need

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
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

Benefits

Comp & perks

Competitive salary
Health insurance for employee & dependants
Meaningful equity
Pension Plan
Life Cover
Income protection
Wellbeing benefits