EY-Parthenon - Strategy and Execution - Platforms - AI Product & Platform Build - Sr Director

EY-Parthenon - Strategy and Execution - Growth Platforms - AI Product & Platform Build - Sr Director

Location:

New York, Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, Hoboken, Philadelphia, Portland, San Francisco, Seattle

Date:
Feb 18, 2026

Requisition

At EY, we’re all in to shape your future with confidence.

We’ll 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.

EY-Parthenon – Strategy and Execution – Growth Platforms – Neuro-Symbolic AI Product & Platform Build – Senior Director

EY-Parthenon’s unique combination of transformative strategy, transactions and corporate finance delivers real-world value – solutions that work in practice, not just on paper. Benefiting from EY’s full spectrum of services, we’ve reimagined strategic consulting to work in a world of increasing complexity.

With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way – enabling you to shape your future with confidence.

The EY Growth Platform (EYGP) integrates business strategy, advanced technology, and applied AI engineering to deliver scalable AI products and platforms for the world’s largest organizations. We specialize in neuro-symbolic AI, combining machine learning with knowledge graphs, ontologies, rules-based systems, and enterprise data assets to produce highly trustworthy, explainable, auditable AI solutions.

EYGP works across industries to build AI-powered systems that improve decision-making, automate complex workflows, and unlock new capabilities with enterprise-grade governance, Responsible AI, and real business measurable outcomes.

• Drive the full lifecycle of AI product development: 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 adhere to enterprise standards for explainability, auditability, trust, and compliance.

• Develop a clear 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 the design of platform components including ontologies, semantic data layers, inference engines, ML integration, APIs, 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/ML, and industry specialists.
• Establish OKRs, sprint structures, and delivery governance to ensure predictable, high-quality execution.
• Coach teams to operate with clarity, pace, and technical rigor.

• Serve as a trusted advisor to 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 to ensure the product meets all regulatory and policy requirements.
• Lead teams in documenting reasoning processes, knowledge sources, and…