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Product Owner

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Onsite

Product Owner

BrightBox Group Ltd

Product Owner

Skills

Data ScienceData AnalysisAI

6 days ago

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Important information


Contract type:

Freelance / Contract

Location:

London, UK

Work mode:

Onsite

Published on:

17 October 2026

What they need


Data & AI Product Owner

Inside IR35

Largely Remote, 1 day per week onsite in London

£650p/d

Job Description

We are seeking a highly motivated Data & AI Product Owner to join our dynamic team. This role offers an exciting opportunity to lead and deliver cutting-edge AI and data solutions within an innovative environment. The successful candidate will be responsible for shaping and executing our data, analytics, and AI strategy.

Core Responsibilities

  • Define and implement the vision for data, analytics, and AI products, ensuring alignment with business goals and strategies.
  • Lead the development and deployment of AI and GenAI solutions, leveraging AgenticAI expertise to drive business value.
  • Collaborate with cross-functional teams to gather requirements, prioritise initiatives, and manage product roadmaps.
  • Act as the primary liaison between technical teams and executive stakeholders, ensuring clear communication and alignment.
  • Monitor industry trends to continually enhance our AI offerings and maintain competitive positioning.

Desirable Skills

  • Excellent problem-solving skills and the ability to make data-driven decisions.
  • Strong communication and leadership skills, with experience in managing cross-functional teams.
  • Proven ability to work in a fast-paced environment and adapt to changing priorities.

Skillset and Experience

  • Extensive hands-on experience with AI and GenAI technologies.
  • Deep understanding of data analytics and AI strategy formulation and execution.
  • Experience in AgenticAI and its application to business solutions.
  • Proven track record in managing stakeholder relationships and securing executive buy-in.
  • Successful track record in a similar role, preferably within a tech-forward environment.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Advanced degree or relevant certifications in AI or data analytics is preferred.

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