AI Product Owner in Westminster

AI Product Owner in Westminster

Westminster Full-Time 60000 - 80000 € / year (est.) Home office (partial)
Centrica

At a Glance

  • Tasks: Lead AI product development and drive innovation for a greener future.
  • Company: Join a pioneering energy company committed to sustainability.
  • Benefits: Flexible remote work, competitive salary, and opportunities for growth.
  • Other info: Dynamic role with a focus on responsible AI and continuous improvement.
  • Why this job: Make a real impact by harnessing AI for a sustainable energy system.
  • Qualifications: Experience in AI/ML and strong agile delivery skills required.

The predicted salary is between 60000 - 80000 € per year.

About the Company

We are an energy company revolutionising how we power the planet. A family of 21,000 colleagues energising a greener, fairer future by creating an energy system that doesn't rely on fossil fuels.

Job Overview

As an AI Product Manager / Owner at Centrica you will lead the end‐to‐end lifecycle of cutting‐edge machine learning, generative AI, and agentic AI products that drive tangible business value and exceptional customer experiences. Your role will help the organisation harness AI safely and effectively at scale.

Key Responsibilities

  • Own and evolve the vision, roadmap, and prioritisation of AI and ML products aligned to business goals and user needs.
  • Translate business problems into clear product requirements, features, and experiments.
  • Lead delivery through agile ways of working with cross‐functional product, data, and engineering teams.
  • Balance near‐term delivery with long‐term innovation through effective backlog management.
  • Monitor adoption, performance and value, using insight to continuously improve outcomes.
  • Embed responsible AI, privacy, governance, and compliance throughout product delivery.
  • Identify emerging AI opportunities and progress them into the product pipeline.
  • Drive experimentation through prompt design, context optimisation, and rapid prototyping using LLM‐assisted tools.
  • Influence delivery and value realisation across a broad community of specialists and stakeholders.

Qualifications

  • Relevant experience in AI, ML, or digital product roles.
  • Strong understanding of agile delivery, backlog management, and cross‐functional product development.
  • Ability to translate complex technical concepts into business value and stakeholder decisions.
  • Working knowledge of AI ethics, data governance, privacy and regulated delivery environments.
  • Strong commercial judgement, customer focus and prioritisation skills.
  • High degree of autonomy and strong judgement in solving ambiguous problems.

Location and Working Arrangements

Flexible First working arrangements – primarily remote, with travel to our sites as required.

AI Product Owner in Westminster employer: Centrica

Centrica is an exceptional employer, committed to fostering a culture of innovation and collaboration among its 21,000 colleagues. With flexible working arrangements and a focus on employee growth, we empower our team to lead the charge in developing cutting-edge AI products that contribute to a greener future. Join us to be part of a forward-thinking organisation that values your contributions and prioritises responsible AI practices.

Centrica

Contact Detail:

Centrica Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Product Owner in Westminster

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those already working at Centrica. A friendly chat can open doors and give you insider info that could make your application stand out.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies showcasing your experience with AI and ML products. This is your chance to demonstrate how you've driven business value and customer experiences in previous roles.

Tip Number 3

Get familiar with agile methodologies! Since you'll be leading cross-functional teams, understanding agile principles will help you communicate effectively and manage the product lifecycle smoothly.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our mission for a greener future.

We think you need these skills to ace AI Product Owner in Westminster

AI Product Management
Machine Learning
Generative AI
Agile Delivery
Backlog Management
Cross-Functional Collaboration
Product Roadmap Development

Some tips for your application 🫡

Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how you connect with our mission of creating a greener future using cutting-edge technology.

Tailor Your Experience:Make sure to highlight your relevant experience in AI, ML, or digital product roles. We’re looking for specific examples that demonstrate your understanding of agile delivery and how you've successfully managed product backlogs in the past.

Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain complex concepts, as we need to see how you can translate technical jargon into business value for stakeholders.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity to join our team.

How to prepare for a job interview at Centrica

Know Your AI Stuff

Make sure you brush up on the latest trends in AI and machine learning. Be ready to discuss how these technologies can drive business value and improve customer experiences, as this is key for the role.

Master Agile Methodologies

Since the job involves agile delivery, be prepared to talk about your experience with agile frameworks. Share specific examples of how you've managed backlogs and collaborated with cross-functional teams to deliver successful products.

Translate Tech to Business

Practice explaining complex technical concepts in simple terms. You’ll need to show that you can bridge the gap between technical teams and business stakeholders, so think of examples where you've done this effectively.

Showcase Your Ethical Side

Familiarise yourself with AI ethics, data governance, and compliance issues. Be ready to discuss how you would embed responsible AI practices into product delivery, as this is crucial for the company’s mission.