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About the Role

EY-Parthenon's unique combination of transformative strategy, transactions, and corporate finance delivers real-world value. 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, specializing in neuro-symbolic AI.

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.

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.
• The ability and willingness to travel and work in excess of standard hours when necessary.
• You must either reside in or be in a commutable distance to your office location for this position.

Skills

• Knowledge graphs and ontologies
• Symbolic reasoning / rules engines
• Machine learning integration patterns
• Data modeling, lineage, and governance
• 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.
• Experience with neuro-symbolic AI frameworks, knowledge representation, or semantic data platforms.
• Background working with regulated industries (Financial Services, Health, Government, Energy, etc.).
• Experience with large-scale cloud architectures (Azure, AWS, GCP) and enterprise data platforms.
• Prior leadership in building reusable AI platforms or multi-tenant enterprise solutions.
• Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.

Location

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

Work Type

• Hybrid

Experience Level

• 8+ years of related work experience with a bachelor's degree
• 7+ years of related work experience with a graduate degree
• 12+ years in product leadership, solution delivery, enterprise technology, or platform build roles

Education Level

• Bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field
• Graduate degree

Salary/Compensations

• $250,000 to $290,000

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

About the Company

• 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 is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
• Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
• EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
• Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Equal Opportunity

• EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
• EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.