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Ernst & Young

Global professional services: audit, tax, consulting

Product Director - Multiple Teams

Technical Product ManagementUpdated on Nov 4
Full-timeNew York, NY, USA$205k - $235kIn-person

About the Job

Requirements

  • A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or another related field and 5 years of related work experience, or a graduate degree and approximately 3 years of related work experience.
  • At least 7 years in product leadership, solution delivery, enterprise technology, or platform build roles.
  • Proven experience building and launching enterprise-grade products.
  • Ability and willingness to travel and work in excess of standard hours when necessary.
  • Must reside in or be within commuting distance of the office location.
  • Strong understanding of knowledge graphs and ontologies; symbolic reasoning and rules engines; machine learning integration patterns; and data modeling, lineage, and governance.
  • Demonstrated ability to lead cross-functional teams in ambiguous, complex environments.
  • Executive communication skills to influence senior stakeholders.
  • Experience defining product strategy, roadmaps, and success metrics.

Responsibilities

  • Drive the full lifecycle of AI product development, including problem framing, requirements, architecture, build, deployment, and scale.
  • Translate complex business challenges into knowledge-driven AI product requirements, including reasoning engines, knowledge graphs, rules, and machine learning components.
  • Ensure products and platforms meet enterprise standards for explainability, auditability, trust, and compliance.
  • Develop a product vision and roadmap aligned to customer needs, economic impact, and technical feasibility.
  • Define adoption, usage, and cost/value metrics that demonstrate measurable business outcomes.
  • Shape pricing, packaging, and commercialization pathways for AI platforms and solutions.
  • Guide design of platform components, including ontologies, semantic data layers, inference engines, machine learning integration, application programming interfaces, workflow orchestration, and user interfaces.
  • Ensure platform scalability, modularity, and extensibility across multiple use cases.
  • Lead decisions on architecture, tooling, integration patterns, and data pipelines.
  • Lead teams across product management, engineering, knowledge engineering, design, data science and machine learning, and industry specialists.
  • Establish objectives and key results, sprint structures, and delivery governance to ensure predictable, high-quality execution.
  • Coach teams to operate with clarity, pace, and technical rigor.
  • Advise client executives and internal leaders on AI strategy, product direction, and deployment models.
  • Align product build with enterprise architecture, security, data governance, and compliance requirements.
  • Support investment decisions with clear business cases, milestones, and measurable value.
  • Embed Responsible AI principles, including transparency, fairness, bias mitigation, and auditability, into product design.
  • Partner with risk, legal, compliance, and cybersecurity teams to ensure the product meets regulatory and policy requirements.
  • Lead teams in documenting reasoning processes, knowledge sources, and decision pathways.

Desired Qualifications

  • Experience with neuro-symbolic AI frameworks, knowledge representation, or semantic data platforms.
  • Background working with regulated industries such as financial services, health, government, or energy.
  • Experience with large-scale cloud architectures such as Azure, AWS, or GCP, and enterprise data platforms.
  • Prior leadership in building reusable AI platforms or multi-tenant enterprise solutions.
  • Knowledge of leveraging AI tools in a business setting, including Microsoft Copilot.

About the Company

Ernst & Young

Global professional services: audit, tax, consulting

EY provides professional services across Assurance, Tax, Consulting, and Strategy & Transactions through member firms coordinated by EY Global. It serves clients in about 150 countries with cross-disciplinary teams delivering audits, tax planning, technology, risk management, and M&A and strategy advisory. Its global, integrated platform and large network differentiate it by offering coordinated services across disciplines. The goal is to help clients meet regulatory requirements, improve governance and performance, and create value.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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