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

EY-Parthenon is a part of EY, focusing on transformative strategy, transactions, and corporate finance to deliver real-world value. They are seeking a Director for their Growth Platforms team to lead the development and scaling of neuro-symbolic AI products, ensuring adherence to enterprise standards and driving product strategy and commercial outcomes.

Responsibilities:

• Lead the build and scaling of neuro-symbolic AI products
• 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
• Define product strategy, roadmap, and commercial outcomes
• 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
• Architect enterprise-ready platforms using neuro-symbolic AI
• 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
• Direct cross-functional product and technical teams
• 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
• Partner with senior executives and enterprise stakeholders
• 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
• Ensure Responsible AI and regulatory compliance
• 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 decision pathways