About the Role
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.
Responsibilities
•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.
•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.
•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.
•Work with data, engineering, infrastructure, design, GRC and InfoSec colleagues to build products that are feasible, well-governed and safe to scale.
•Embed products into real workflows, define meaningful success measures, identify barriers to adoption, and use feedback and data to refine priorities.
•Contribute to the ways of working for a new product team, including discovery, prioritisation, roadmap management, stakeholder engagement, value measurement and product governance.
Requirements
•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.
Nice to 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.
Conditions
No conditions stated in the posting.
