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EY UK • London - Grays Inn Road

(INV) Manager, AI and Data Product Manager - Infrastructure, TC, UKI

Employment type:  Full time
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Job Description

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.

AI Infrastructure Product Manager - Job Specification

Grade – Manager

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.

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 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

EY | Building a better working world

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.

Company benefits

27 days annual leave + bank holidays
Adoption leave
Buddy scheme
Buy or sell annual leave
Car allowance
Career and family coaching
Charity donation scheme
Coaching
Critical Illness Insurance
Cycle to work scheme
Dental coverage
Discretionary sick pay
Electric Car Salary Sacrifice
Employee discounts
Employee recognition scheme
Enhanced maternity leave
Enhanced paternity leave
Eye Care Support – (free eyesight testing)
Financial advice
Health assessment
Health insurance
Income protection
Learning platform
Life assurance
Mental health pathway
Mentoring
Physiotherapy
Shared parental leave
Special leave
Sports teams
Surrogacy leave
Wellbeing allowance – £500
Wellbeing incentive programme
Menopause support
Annual bonus
Enhanced pension match/contribution
Referral bonus
Joining bonus
Personal development days
L&D budget
Study support
Studying sabbaticals
Lunch and learns
In house training
Professional subscriptions

Working at EY UK

Company employees:

400000

Gender diversity (m:f):

52:48

Hiring in countries

Czechia

France

Greece

Guernsey

Italy

Jersey

Netherlands

Sweden

Switzerland

United Kingdom

United States

Office Locations

Awards & Accreditations

2nd - Most Inclusive Company

2nd - Most Inclusive Company

Flexa awards 2026
Best Career Progression

Top 10 - Best Career Progression

Flexa awards 2026

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