Senior Director, Neuro-Symbolic AI Platforms

EY-Parthenon

Los Angeles (CA)

Hybride

USD 250 000 - 290 000

Plein temps

14 jours+

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Avantages offerts par ce poste

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

Résumé du poste

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

Qualifications

  • 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.

Responsabilités

  • 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.

Connaissances

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

Formation

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

Outils

Azure
AWS
GCP

Description du poste

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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