Data & AI Product Owner

Data & AI Product Owner

Full-Time 90000 - 90000 £ / year (est.) No working from home possible
Cyber Security training courses

At a Glance

  • Tasks: Lead the development of innovative Data & AI products and drive digital transformation.
  • Company: Join a leading organisation at the forefront of digital innovation.
  • Benefits: Competitive salary, performance bonus, hybrid working, and private medical insurance.
  • Other info: Enjoy 25 days annual leave and excellent career growth opportunities.
  • Why this job: Shape the future of data-driven solutions and make a real impact in a growing team.
  • Qualifications: Experience as a Product Owner in Data, Analytics, or AI environments.

The predicted salary is between 90000 - 90000 £ per year.

  • Data & AI Product Owner
  • £90,000 + Bonus - London (Hybrid Working, 3 days in office)

We are partnering with a leading organisation undergoing a significant digital transformation programme with substantial investment in Data, Analytics, Automation and Artificial Intelligence capabilities.

Due to continued growth within its Data & AI function, the organisation is looking to hire a Data & AI Product Owner to help shape and deliver its roadmap for data-driven and AI-enabled products.

This is an excellent opportunity to join a growing team focused on leveraging data, analytics and Generative AI to improve operational efficiency and business decision-making.

Working closely with business stakeholders, data professionals and technical delivery teams you will play a key role in defining product strategy, managing delivery backlogs and ensuring successful adoption of Data & AI solutions.

This role would suit an experienced Product Owner who enjoys translating business requirements into tangible outcomes and driving innovation through modern data and AI technologies.

Key Responsibilities

  • Own and prioritise the product backlog, ensuring alignment with business objectives and strategic priorities.
  • Work closely with stakeholders to gather requirements and translate business needs into user stories and acceptance criteria.
  • Define and deliver Data & AI use cases, including analytics, automation and Generative AI solutions.
  • Collaborate with data, architecture and engineering teams to ensure solutions are scalable, secure and fit for purpose.
  • Support the development of data products, reporting capabilities and AI-enabled applications.

Skills & Experience

  • Proven experience working as a Product Owner, Data Product Owner or Product Manager within a Data, Analytics, BI or AI environment.
  • Strong backlog management and prioritisation experience.
  • Experience delivering data, analytics, reporting, or AI-focused products.
  • Understanding of Agile delivery methodologies, including Scrum and Kanban.
  • Knowledge of Generative AI, AI agents, Machine Learning or automation use cases.
  • Understanding of data modelling, semantic models, self-service analytics and data governance principles.
  • What's on Offer
  • Salary of up to £90,000 depending on experience.
  • Performance-related bonus scheme.
  • Hybrid working model - 3 days in office in central London
  • Private medical insurance.
  • 25 days annual leave plus bank holidays, with additional holiday purchase options.
  • #J-18808-Ljbffr

Data & AI Product Owner employer: Cyber Security training courses

As an AI Engineer at our Central London office, you will be part of a dynamic team dedicated to pioneering cutting-edge AI solutions that drive business growth and enhance engineering capabilities. We pride ourselves on fostering a collaborative work culture that encourages innovation and professional development, offering competitive salaries, performance bonuses, and the flexibility of a hybrid working model to ensure a healthy work-life balance.

Cyber Security training courses

Contact Details:

Cyber Security training courses Recruitment Team

We think you need these skills to ace Data & AI Product Owner

Communication Skills
Problem-Solving Skills
SQL
Python
Automation
Attention to Detail
Data Governance