Senior Director – Strategy and Execution, AI Product & Platform Build

Role Overview

• 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.

Requirements

• A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 8 years of related work experience; or a graduate degree and approximately 7 years of related work experience.
• 12+ years in product leadership, solution delivery, enterprise technology, or platform build roles.
• Proven experience building and launching enterprise-grade products.
• Strong understanding of: knowledge graphs and ontologies, symbolic reasoning / rules engines, machine learning integration patterns, data modeling, lineage, and governance.
• Demonstrated ability to lead cross-functional teams in ambiguous, complex environments.
• Executive communication skills with the ability to influence senior stakeholders.
• Experience defining product strategy, roadmaps, and success metrics.
• The ability and willingness to travel and work in excess of standard hours when necessary.

Tech Stack

• Cyber Security

Benefits

• medical and dental coverage
• pension and 401(k) plans
• wide range of paid time off options
• flexible vacation policy
• time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence