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Ernst & Young

Global professional services: consulting, assurance, tax

AI Product Owner Expérimenté H/F

Technology & Systems ConsultingUpdated on Nov 14
Full-timeParis, FranceIn-person

About the Job

Requirements

  • You have confirmed experience in product ownership, project management, digital consulting, data, artificial intelligence, or technological transformation.
  • You have led artificial intelligence, data, or generative artificial intelligence projects beyond proof-of-concept that were deployed, industrialized, or used in production.
  • You are comfortable managing artificial intelligence or generative artificial intelligence projects in a client environment.
  • You are proficient in agile methods and squad-based delivery.
  • You know delivery-structuring methodologies for AI-native work, such as BMAD, Spec-Driven Development, or equivalent approaches.
  • You can formalize business needs, user journeys, user stories, functional specifications, and acceptance criteria.
  • You can prioritize a backlog in technically complex contexts.
  • You know digital products, data, generative artificial intelligence, retrieval-augmented generation, artificial intelligence agents, or intelligent automation.
  • You understand production constraints, including security, data, information-system integration, governance, testing, adoption, and operations.
  • You can coordinate multidisciplinary product, business, technology, data, artificial intelligence, architecture, and security teams.
  • You can explain technical topics to business stakeholders and decision-makers.
  • You have 6 to 10 years of relevant experience in product ownership, digital project management, data, artificial intelligence, or technological transformation, including at least one experience leading an artificial intelligence project that reached production.

Responsibilities

  • Lead generative artificial intelligence, AI engineering, or agentic artificial intelligence projects from scoping through production deployment.
  • Scope user needs and high-value artificial intelligence use cases.
  • Build the product vision, roadmap, backlog, and success criteria.
  • Prioritize features based on business value, technical feasibility, risks, dependencies, and production constraints.
  • Facilitate client workshops for discovery, design, scoping, user testing, adoption, and change management.
  • Work daily with artificial intelligence engineers, data engineers, full-stack engineers, architects, business teams, information-systems departments, information-security departments, and data teams.
  • Track delivery progress, trade-offs, risks, dependencies, key decisions, and quality commitments.
  • Define acceptance criteria, validation scenarios, performance indicators, and production-readiness conditions.
  • Lead AI-accelerated delivery cycles while ensuring business value, quality, security, and solution adoption.
  • Structure delivery practices around methodologies such as BMAD, Spec-Driven Development, or equivalent approaches focused on specifications, structured backlogs, continuous validation, and product-technology alignment.

Desired Qualifications

  • You have transformed an artificial intelligence idea into a product actually used by end users.
  • You have led an artificial intelligence prototype or minimum viable product through to a production-ready solution.
  • You can challenge the business value, technical feasibility, and risks of a generative artificial intelligence use case.
  • You can structure delivery from clear, testable specifications aligned with business objectives.
  • You understand the impacts of large language models, retrieval-augmented generation, artificial intelligence agents, and AI-native practices on delivery cycles.
  • You enjoy working with technical teams in fast-paced, demanding, impact-oriented cycles.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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