At a Glance
- Tasks: Lead the development of innovative AI solutions for clients in infrastructure and energy sectors.
- Company: Join EY, a global leader in consulting with a diverse and inclusive culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a fast-evolving industry.
- Why this job: Shape the future of AI while making a real impact on businesses.
- Qualifications: Bachelor's degree in a technical field and experience in AI product management.
The predicted salary is between 70000 - 90000 £ per year.
Location: London
Other locations: Anywhere in Country
Date: 7 May 2026
Requisition ID: 1704664
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Position Overview
We are seeking an AI Product Manager to join our consulting practice, driving the development and deployment of cutting‑edge AI solutions for our clients across Infrastructure and energy sectors. This role requires a unique blend of technical depth, business acumen, and stakeholder management excellence to transform complex business challenges into scalable AI products.
- Define and drive AI product strategy aligned with client business objectives and industry‑specific challenges
- Identify opportunities for AI Products that deliver measurable business value
- Develop product roadmaps that balance innovation with practical implementation considerations
- Partner with business and IT stakeholders to understand strategic priorities into clear, actionable technical specifications
- Facilitate workshops and discovery sessions and present complex technical concepts to non‑technical audiences with clarity and impact
- Work closely with client teams to translate business priorities into actionable product requirements
- Support prioritisation of features based on business impact and feasibility
- Manage expectations and maintain strong client relationships throughout delivery
- Collaborate with data engineers, solution architects and AI strategists to define technical solutions to business problems
- Ensure data governance, privacy, and quality standards are met by collaborating with technical teams responsible for data lifecycle management
- Lead agile product development teams in a consulting environment including management of product backlogs, sprint planning, and release cycles
- Drive cross‑functional collaboration across technology, design, and business teams
- Support the preparation of compelling bid responses and proposals as part of solution sales lifecycle
- Monitor emerging AI technologies and advise on their strategic relevance to client solutions
Essential Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field
- Demonstrated experience in at least two of the following industries: Infrastructure, Capital delivery, Asset Management and energy
- Proven track record of successfully delivering AI products from concept to production at scale
- Experience managing AI product lifecycle from concept to delivery
- Strong understanding of AI/ML technologies and ability to communicate technical concepts clearly to business stakeholders
- Familiarity with modern AI/ML frameworks and tools (e.g. TensorFlow, PyTorch, scikit‑learn, UiPath, Snowflake, Databricks, Azure etc.)
Soft Skills
- Ability to foster growth and high performance among product teams and cross‑functional stakeholders
- Strong communication and storytelling skills: Capable of translating complex AI concepts into clear, compelling narratives for both technical and non‑technical audiences
- Skilled in facilitation and workshop design, with the ability to influence and align diverse stakeholder groups around a unified product vision
- Continuous learning mindset - Commitment to staying ahead of rapidly evolving AI technologies, product management practices, and industry trends
- Demonstrated ability to connect technical product capabilities to business outcomes and articulate how they drive measurable value
Preferred Criteria
- Experience with generative AI, Agentic AI, large language models (LLMs), and AI enabled automation
- Product management certifications (CSPO, CPM, or similar)
- Prior experience at a Big 4 consulting firm or top‑tier strategy/tech consultancy
- Published thought leadership or speaking engagements in AI/product management
- Experience supporting Senior Leadership in managing vendor relationships and technology partnerships
- Experience contributing to proposals and supporting pre‑sales activities
- Demonstrated understanding of governance frameworks and regulatory compliance (e.g., GDPR, AI Act) for AI products
Preferred Qualifications
- MBA or advanced degree in relevant field
- Knowledge of sustainability and climate change challenges across industries
- Knowledge of one or more of the following sectors: Energy, Government, Transport, Power and Utilities, Telco and Media
- Experience working in industry, government or a management consultancy environment
- Ability to analyse data and deliver insightful, practical solutions
- Experience of managing teams, including internal staff, clients and wider stakeholders
- Experience of delivering presentations to senior audiences
- Skills and experience in Portfolio, Programme and Project Management
Manager, AI and Data Product Manager - Infrastructure, TC, UKI in London employer: Ernst & Young Advisory Services Sdn Bhd
At EY, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Manager in AI and Data Product Management, you will thrive in a dynamic environment that prioritises employee growth through continuous learning and diverse project opportunities. Our London office offers a vibrant work atmosphere, competitive benefits, and the chance to make a meaningful impact by shaping the future of AI solutions across various sectors.
Contact Details:
Ernst & Young Advisory Services Sdn Bhd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Manager, AI and Data Product Manager - Infrastructure, TC, UKI in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your skills align with their needs, especially in AI and data product management.
✨Tip Number 3
Practice your storytelling skills! Be ready to explain complex AI concepts in simple terms. This will help you connect with both technical and non-technical interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Manager, AI and Data Product Manager - Infrastructure, TC, UKI in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Product Manager role. Highlight your experience in AI, data management, and stakeholder engagement to show us you’re the perfect fit!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re passionate about AI and how your background makes you an ideal candidate. Be sure to connect your past experiences to the specific requirements mentioned in the job description.
Showcase Your Technical Skills:Don’t shy away from mentioning your familiarity with AI/ML frameworks and tools. We want to see how you can leverage these technologies to drive product strategy and deliver value to clients.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and frameworks mentioned in the job description, like TensorFlow and Azure. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role.
✨Master the Art of Storytelling
Since you'll need to communicate complex technical concepts to non-technical stakeholders, practice explaining your past projects in a clear and engaging way. Use real-world examples to illustrate how your work has delivered measurable business value.
✨Prepare for Stakeholder Management Questions
Expect questions about how you've managed relationships with clients and cross-functional teams. Think of specific instances where you facilitated workshops or aligned diverse groups around a product vision, and be ready to share those stories.
✨Show Your Continuous Learning Mindset
Demonstrate your commitment to staying ahead in the rapidly evolving AI landscape. Share any recent courses, certifications, or industry events you've attended that relate to AI and product management, showing that you're proactive about your professional development.
