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Aiimi

Enterprise data governance and AI platform

Product Owner

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeMilton Keynes, UKNo salary listedHybrid

About the Job

Responsibilities

  • Own the product vision and roadmap for data and AI solutions in alignment with client goals and strategic outcomes.
  • Manage and prioritise the product backlog, ensuring stories are clear, valuable, and deliverable by the team.
  • Work closely with delivery teams, including engineers, analysts, data scientists, and UX, to define features and iterate on value delivery.
  • Collaborate with clients and users to gather requirements, validate assumptions, and shape the product direction.
  • Act as the voice of the user and customer within the team, balancing business needs and technical feasibility.
  • Lead backlog grooming, sprint planning, and review sessions to maintain a healthy and outcome-focused workflow.
  • Support delivery managers in tracking progress and ensuring delivery aligns with scope, time, and value.
  • Contribute to user research, metrics gathering, and product validation activities.
  • Champion agile ways of working and foster a collaborative, outcome-led product culture.

About the Company

Aiimi

Enterprise data governance and AI platform

Aiimi provides a Workplace AI platform that helps enterprises govern messy data by automatically classifying, labeling, moving, and protecting information to enable safe, scalable AI use. The platform analyzes data across systems, applies consistent metadata and access controls, relocates data to safe locations, and locks down sensitive information, while continuously mapping and monitoring the data estate for ongoing compliance and risk management. Unlike tools that focus on one-off governance, Aiimi combines data quality, security, and AI readiness with hands-on consulting and flexible managed services to address real-world enterprise environments. The goal is to unlock AI value for large organizations by making their data safe, well-organized, and ready for scalable AI adoption.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
United Kingdom
Founded
2007

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