AI product Manager Digital
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Job Summary
At EY were all in to shape your future with confidence.
Well 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.
Job Title: AI Product Manager
Job purpose
You will be part of our GDS Assurance Digital helping EYs sector and service line professionals deliver AI products that improve audit quality compress cycle times and deliver measurable ROI at scale. You will work with multi-disciplinary teams across the entire region to support global clients operating at the intersection of Assurance domain engineering data science/ML design risk and global stakeholders.
You will own outcomes end-to-endfrom shaping the problem space and defining a clear product vision through to shipping resilient GenAI and agentic capabilities that are production-ready measurable and trusted. You feel comfortable driving and proposing approaches and methods to balance value quality risk and compliance ensuring the product is instrumented for telemetry experimentation and cost/performance efficiency and iterated rapidly based on evidence.
You are familiar with approaches methods and tools for:
- Framing the problem space defining product vision crafting value hypotheses and translating them into clear success metrics/OKRs
- Maintaining an evidence-based roadmap balancing foundational platform investments high-impact features and risk-reduction work
- Writing crisp PRDs and user stories that specify AI behaviours guardrails prompts/policies data contracts and evaluation criteria
- Leading cross-functional execution (engineering DS/ML design risk) with strong sprint health quality gates and release readiness
- Operating disciplined Responsible AI governance (model cards evaluation suites red teaming bias & safety checks incident response and release gates) and ensuring compliance with data residency/privacy and frameworks such as SOC2/ISO/NIST AI RMF
- You will build valued relationships with internal stakeholders and contribute to the development of a portfolio of business by focusing on high-impact opportunities. You will lead adoption and change through rollout plans enablement materials feedback programs and stakeholder communications that drive durable usage across regions and teams.
Technical skills requirements
- Excellent academic background including at a minimum a bachelors or masters degree in Computer Science Engineering Data Science/AI Information Systems Business/Management or a related fieldwith strong grounding in enterprise software delivery data governance security/privacy and AI/ML fundamentals.
- 10 years of work experience in AI Product Management including 2 years shipping LLM/GenAI capabilities in production with focus on the following:
- AI product strategy & problem framing (translate ambiguous needs into observable governable cost-efficient capabilities)
- Technical feasibility & incubation (prototype POC/POV approved product closure)
- Evaluation & quality engineering for AI (quality safety latency cost; offline/online evals; ownership of SLIs/SLOs)
- Platformization mindset (reusable components prompt/policy management feature flags multi-tenant & multi-region readiness)
- Responsible AI operationalization across SDLC (security/risk/compliance partnership rollback plans kill switches)
- Adoption & change leadership (rollout plans enablement feedback loops stakeholder communications to drive durable usage)
- Operational excellence (incident classification on-call playbooks post-incident reviews staged/region-wise rollout governance)
Strong technical fluency to challenge decisions and trade-offswithout needing to author production codeacross:
- Prompting & policy design prompt/policy versioning and guardrail patterns
- RAG and retrieval design (vectorization concepts vector DB ecosystem awareness)
- Evaluation strategy (golden sets regression suites online monitoring; quality/safety/latency/cost optimization)
- Observability & telemetry (prompt/model call traces tool usage failure modes per-tenant dashboards cost controls)
Additionally the following will be considered a strong asset:
- Familiarity with Azure for AI workloads (including Azure OpenAI) and the broader AI ecosystem (OpenAI API vector DBs guardrail frameworks)
- Hands-on with experimentation (A/B testing interleaving) product analytics and causal inference basics
- Experience operating in regulated environments (financial services / audit / Assurance) and with ISO/IEC and NIST AI frameworks
- Ability to design explainable trustworthy AI user journeys/workflows using tools such as Figma / Miro / Lucid / Visio
- Experience shaping platform roadmaps and evangelizing reusable AI components across product lines
- Proven ownership from problem framing launch measurable impact (adoption quality uplift cycle-time reduction cost-to-serve) and success operating in Agile multi-team multi-region environments with strong stakeholder communication.
- Strong written and verbal communication presentation and executive-ready storytelling skillsable to align business engineering risk and compliance stakeholders.
- Strong analytical problem-solving and critical thinking skills with ability to work under tight timelines and drive multiple concurrent deliveries with high quality and governance rigor.
What we offer:
At EY we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated working in an atmosphere of integrity and teaming with some of the worlds most successful companies. And while we encourage you to take personal responsibility for your career we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you in your business and personal lives. At EY you can be who you are and express your point of view energy and enthusiasm wherever you are in the world. Its how you make a difference.
As part of our GDS Assurance Digital you will have the opportunity to help global multinational clients shape their strategic future.
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.
Required Experience:
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