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.

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

neuro-symbolic AImachine learningknowledge graphsrules enginesdata modelingdata governancearchitectureAPIsworkflow orchestrationenterprise-grade product development

Soft Skills

leadershipexecutive communicationinfluencing stakeholderscross-functional team leadershipcoachingstrategic thinkingproblem framingclaritytechnical rigoradaptability