EY
Product Manager - AI Product Team, AI Transformation Office, EY-Parthenon
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Job Title
UK&I AI Product Manager
Reports To
UK&I SaT Head of Product
Role Type
Permanent FTE
Grade
Level 3 or 4 – Assistant Director / Manager or Associate Director / Senior Manager
About the team
The EY-Parthenon UKI AI product team is at a pivotal time for the future of consulting. We are within an enterprise: fast-moving, practical, commercially aware and disciplined about what we build.
Our remit is to productionise the highest value AI opportunities, to translate complex user needs into clear product direction, and work with technical teams to deliver products that are trusted, adopted and scalable.
This is a hands-on enterprise product role. You will not simply manage a backlog or coordinate delivery. You will understand senior user workflows, shape MVPs, drive key value & complexity trade-off decisions, and move products into real use.
The role
As Product Manager, you will own one of our priority product objectives end-to-end. You will shape the product direction, lead discovery with senior users, define the MVP and roadmap, align stakeholders, work with technical teams, and drive adoption in real workflows. Your focus will be on building products that are useful, trusted and used - not just delivered.
You do not need to be a technical AI specialist. You do need strong product judgement, curiosity and the ability to learn enough about data structures, data pipelines and AI-enabled decision support to make good product trade-offs with technical teams.
What you will do
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Own a product objective end-to-end Take responsibility for one of the team's priority objectives, from problem definition and target users through to MVP scope, roadmap, delivery priorities and adoption.
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Lead discovery with senior users Work closely with Partners, pursuit teams, account teams and practitioners to understand how work actually happens and where product can improve speed, quality and decision-making.
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Shape the MVP and roadmap Define the first valuable version of the product, prioritise the highest-impact use cases, and make clear trade-offs between user value, data readiness, technical complexity and enterprise constraints.
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Partner with technical and risk teams Work with data, engineering, infrastructure, design, GRC and InfoSec colleagues to build products that are feasible, well-governed and safe to scale.
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Drive adoption and outcomes Embed products into real workflows, define meaningful success measures, identify barriers to adoption, and use feedback and data to refine priorities.
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Help build the product function Contribute to the ways of working for a new product team, including discovery, prioritisation, roadmap management, stakeholder engagement, value measurement and product governance.
You are
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Product-led You care about discovery, prioritisation, adoption and outcomes. You want to own product decisions, not just delivery activity.
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Structured You can take a broad objective and break it down into user problems, hypotheses, MVP scope, trade-offs and measurable outcomes.
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Enterprise-minded You understand that products in large organisations need to work across senior stakeholders, complex workflows, technical dependencies and governance constraints.
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Action-oriented You are comfortable making progress where requirements are not fully defined and the route to delivery is still being shaped.
What you definitely need
- Experience owning complex enterprise or internal products from problem definition through delivery and adoption.
- Strong product discovery skills, including user research, workflow mapping, problem framing, synthesis and prioritisation.
- Experience defining MVP scope, product requirements, roadmaps and delivery priorities in ambiguous environments.
- Evidence of shipping products that changed how users worked, not just managing delivery plans or backlogs.
- Strong stakeholder management skills, including experience working with senior business stakeholders and managing competing priorities.
- Ability to work across product, business, data, engineering, infrastructure and legal & risk teams.
- Strong communication skills, including the ability to structure complex topics and explain trade-offs simply.
- Curiosity about AI, data and decision-support products, with willingness to learn enough to make informed product decisions.
- A bias to action and comfort making progress without fully defined requirements.
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What you might also have
- Experience in strategy consulting, transactions, corporate finance, private equity or professional services.
- Experience building AI-enabled, data-led, workflow automation, search/retrieval or knowledge products.
- Experience using AI-first tools to prototype, test ideas or accelerate product development.
- Experience defining product metrics, adoption measures or benefits tracking.
- Experience working within enterprise governance, data protection, confidentiality or risk constraints.
What success looks like
In the first six months, you will have:
- Built a clear understanding of the target users, workflows and priority problems.
- Shaped a focused MVP and roadmap for one priority product objective.
- Aligned senior stakeholders around product direction and trade-offs.
- Worked with technical teams to move from concept to tested product.
- Helped embed the product into real working practices.
Over time, success means building products that become trusted, adopted and valuable parts of how EY-Parthenon teams work.
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