Senior Director, Neuro-Symbolic AI Platforms

EY-Parthenon

Los Angeles (CA)

Ibrido

USD 250.000 - 290.000

Tempo pieno

14 giorni+

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Vantaggi offerti da questo lavoro

Hybrid work model
Total rewards package with medical/ded
401(k) and pension plans

Descrizione del lavoro

EY-Parthenon within EY is seeking a senior leader to drive neuro-symbolic AI product development. You will guide cross-functional teams across product, engineering, data science, and industry experts to design scalable AI platforms with knowledge graphs, ontologies, and rules-based reasoning.

The role requires leading strategic roadmaps, defining success metrics, and partnering with executives on deployment models while ensuring governance, risk, and compliance considerations are embedded in

Competenze

  • Bachelor’s degree plus 8+ years of related work experience or a graduate degree with 7+ years.
  • 12+ years in product leadership, solution delivery, or platform build roles.
  • Experience building and launching enterprise-grade products.

Mansioni

  • Lead the build and scaling of neuro-symbolic AI products across the lifecycle.
  • Translate business challenges into knowledge-driven AI product requirements.
  • Define product strategy, roadmap, and commercial outcomes.
  • Architect enterprise-ready platforms with ontologies and ML integration.
  • Direct cross-functional product and technical teams across disciplines.
  • Partner with executives and stakeholders on AI strategy and deployment.

Conoscenze

Neuro-symbolic AI
Knowledge graphs
Symbolic reasoning
ML integration patterns
Data modeling & governance
Executive communication
Cross-functional leadership

Formazione

Bachelor’s degree in Business/Statistics/Economics/Math/Engineering/CS/Analytics
Graduate degree

Strumenti

Azure
AWS
GCP

Descrizione del lavoro

EY-Parthenon within EY is seeking a senior leader to drive neuro-symbolic AI product development. You will guide cross-functional teams across product, engineering, data science, and industry experts to design scalable AI platforms with knowledge graphs, ontologies, and rules-based reasoning.

The role requires leading strategic roadmaps, defining success metrics, and partnering with executives on deployment models while ensuring governance, risk, and compliance considerations are embedded in

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