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- Tasks: Lead the development of innovative AI solutions for clients in infrastructure and energy sectors.
- Company: Join EY, a global leader in consulting and technology.
- Benefits: Competitive salary, diverse teams, and opportunities for career growth.
- Other info: Dynamic work environment with a focus on continuous learning and collaboration.
- Why this job: Shape the future with cutting-edge AI technology and make a real impact.
- Qualifications: Experience in AI product management and strong communication skills required.
The predicted salary is between 60000 - 80000 £ per year.
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.
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.
Your client impact- 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.
- 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.).
- 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.
- 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.
- 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.
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
(INV) Manager, AI and Data Product Manager - Infrastructure, TC, UKI in London employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (INV) Manager, AI and Data Product Manager - Infrastructure, TC, UKI in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at EY. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your AI projects and product management experience. This is your chance to demonstrate how you can turn complex challenges into innovative solutions, just like the role at EY requires.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and product management. Think about how you can relate your past experiences to the specific needs of EY. Remember, they want to see how you can drive their AI product strategy!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining EY and contributing to building a better working world.
We think you need these skills to ace (INV) Manager, AI and Data Product Manager - Infrastructure, TC, UKI in London
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, and how it aligns with the job description. We want to see how you can bring value to our team!
Showcase Your Technical Skills: Don’t shy away from mentioning your familiarity with AI/ML frameworks and tools like TensorFlow or Azure. We’re looking for someone who can bridge the gap between technical and non-technical audiences, so make sure to highlight your ability to communicate complex concepts clearly.
Demonstrate Your Impact: Use specific examples to illustrate how you've delivered AI products from concept to production. We love seeing measurable outcomes, so if you’ve driven business value through your projects, shout about it in your application!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at EY!
How to prepare for a job interview at WeAreTechWomen
✨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 Stakeholder Management Skills
Prepare examples of how you've successfully managed relationships with clients and cross-functional teams. Highlight your experience in facilitating workshops and aligning diverse groups around a product vision.
✨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 thought leadership activities to show you're proactive about your professional development.