At a Glance
- Tasks: Drive AI product strategy and develop innovative solutions for clients in infrastructure and energy sectors.
- Company: Join a leading consulting firm focused on cutting-edge AI technologies.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement and collaboration opportunities.
- Why this job: Make a real impact by transforming complex challenges into scalable AI products.
- Qualifications: Bachelor's degree in a technical field and experience in AI product management.
The predicted salary is between 60000 - 80000 € per year.
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.
Essential Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field.
Essential Criteria
- 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.
(INV) Manager, AI and Data Product Manager - Infrastructure, TC, UKI in London employer: EY
As an AI Infrastructure Product Manager at our consulting practice, you will thrive in a dynamic work culture that champions innovation and collaboration. We offer competitive benefits, a commitment to employee growth through continuous learning opportunities, and the chance to work on impactful AI solutions that drive real business value for clients in the infrastructure and energy sectors. Join us in a location that fosters creativity and professional development, making it an excellent place for those seeking meaningful and rewarding employment.
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 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 looking for your skills.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your past projects, especially those related to AI product management. This will not only highlight your skills but also give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company and its challenges, then align your experience with their needs. This shows you’re genuinely interested and understand their business.
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your skills. Plus, it gives us a chance to see your application in the best light. Don’t miss out!
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, 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 love seeing candidates who can bridge the gap between technical and business aspects, so make sure to highlight your ability to communicate complex concepts clearly.
Demonstrate Stakeholder Management:Since this role involves a lot of collaboration, share examples of how you've successfully managed relationships with stakeholders in the past. We’re looking for someone who can influence and align diverse groups around a unified product vision.
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. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at EY
✨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.
