At a Glance
- Tasks: Lead the development of innovative AI solutions for clients in infrastructure and energy sectors.
- Company: Join a leading consulting firm with a focus on cutting-edge technology.
- 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: 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.
Location: London
Other locations: Anywhere in Country
Salary: Competitive
Date: 7 May 2026
Requisition ID: 1704664
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 employer: Limelight Health
As a leading consulting practice in London, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge AI technologies, ensuring that our team members are always at the forefront of industry advancements. Join us to make a meaningful impact in the Infrastructure and energy sectors while enjoying a competitive salary and a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land (INV) Manager, AI and Data Product Manager - Infrastructure, TC, UKI
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI product management. We suggest doing mock interviews with friends or mentors to boost your confidence and refine your storytelling skills.
✨Tip Number 3
Showcase your passion for AI and data! When you get the chance to chat with potential employers, share your insights on emerging technologies and how they can impact their business. We want to see your enthusiasm shine through!
✨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 (INV) Manager, AI and Data Product Manager - Infrastructure, TC, UKI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the job description. Highlight your experience in AI product management and any relevant industries like Infrastructure or Energy. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you the perfect fit for this role. Don't forget to mention specific projects or achievements that relate to our needs.
Showcase Your Technical Skills:Since this role requires a strong understanding of AI/ML technologies, make sure to highlight your familiarity with tools like TensorFlow or PyTorch. We love seeing candidates who can bridge the gap between technical and business aspects!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Limelight Health
✨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.
