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 and a focus on continuous learning.
- 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 employer: Ernst & Young Advisory Services Sdn Bhd
At EY, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Manager in AI and Data Product Management, you will have access to unparalleled growth opportunities within a globally connected team, all while working in the vibrant city of London. Our commitment to employee development, coupled with our focus on building a better working world, makes EY a truly rewarding place to advance your career in cutting-edge AI solutions.
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
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and data space. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can refer you to someone at EY.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or any relevant work you've done. This is your chance to demonstrate your technical depth and business acumen, so make it shine when you get the opportunity to chat with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Practice explaining complex AI concepts in simple terms. Remember, you’ll need to communicate effectively with both technical and non-technical audiences, so make sure you can adapt your message accordingly.
✨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. So, hit that apply button and let’s get you on board!
We think you need these skills to ace Manager, AI and Data Product Manager - Infrastructure, TC, UKI
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Product Manager role. Highlight your experience in AI and data product management, especially in the infrastructure and energy sectors. We want to see how your skills align with our needs!
Showcase Your Technical Skills:Don’t shy away from mentioning your familiarity with AI/ML frameworks like TensorFlow or PyTorch. We’re looking for someone who can bridge the gap between technical and non-technical audiences, so make sure to demonstrate your understanding of these technologies.
Communicate Clearly:Your ability to tell a compelling story is crucial! Use clear and concise language in your application to convey complex ideas. Remember, we want to see how you can present technical concepts to diverse stakeholders.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at EY!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML technologies and frameworks like TensorFlow and PyTorch. Be ready to discuss how these tools can be applied in real-world scenarios, especially in the infrastructure and energy sectors.
✨Master the Art of Storytelling
You’ll need to translate complex technical concepts into clear narratives for non-technical stakeholders. Practice explaining your past projects in a way that highlights their business impact and aligns with client objectives.
✨Showcase Your Collaboration Skills
Prepare examples of how you've successfully worked with cross-functional teams. Highlight your experience in facilitating workshops and managing stakeholder expectations, as this role requires strong collaboration across various teams.
✨Stay Ahead of the Curve
Demonstrate your commitment to continuous learning by discussing recent trends in AI and how they could impact the industry. Mention any relevant certifications or courses you've taken to keep your skills sharp.
