Director, AI Data Platform & Context Engine

Workday, Inc.

Pleasanton (CA)

Hybrid

USD 232,000 - 348,000

Full time

5 days ago
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Job summary

Workday, Inc. seeks a Director, Product Manager for the Context Engine within the Data Cloud. You will own the multi-year vision, bridging structured data with unstructured documents to power AI agents in an enterprise context.

Lead cross-functional teams across engineering, data science, and GTM to deliver a scalable semantic platform. Ideal candidates have 8+ years in technical product management, experience with knowledge graphs, and a strong background in large-scale data platforms and

Qualifications

  • 8+ years of experience in technical product management, data platform strategy, software engineering, or equivalent.
  • Experience in enterprise SaaS and large-scale data platforms.
  • Knowledge graph, semantic layer, or LLM-routing focus with engineering collaboration.

Responsibilities

  • Define multi-year vision and roadmap for the Universal Context Engine within Workday Data Cloud.
  • Translate architectural needs into actionable execution with clear engineering outcomes.
  • Anchor monetization and ecosystem lock-in by establishing a trusted semantic context layer.
  • Collaborate with data engineers, graph architects, and AI teams to ensure scalable, high-performance delivery.
  • Design dynamic security, knowledge graphs, and time-aware data models for real-time agent workflows.

Skills

Technical product management
Data platform strategy
Enterprise SaaS
Knowledge graph / semantic layer

Education

Bachelor's degree in CS/Engineering

Job description

Workday, Inc. seeks a Director, Product Manager for the Context Engine within the Data Cloud. You will own the multi-year vision, bridging structured data with unstructured documents to power AI agents in an enterprise context.

Lead cross-functional teams across engineering, data science, and GTM to deliver a scalable semantic platform. Ideal candidates have 8+ years in technical product management, experience with knowledge graphs, and a strong background in large-scale data platforms and

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