Sr. Director, Enterprise DataPosted today$46K–$183K

The opportunity

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the…

What you'll do

  • Architect the Future: Design, execute, and evolve a scalable data platform roadmap capable of handling a multi-billion dollar enterprise’s volume, velocity, and variety of data.

  • De-bottleneck Legacy Infrastructure: Transition our centralized pipelines into a modern, decoupled data architecture.

  • Data as a Product: Implement a "Data as a Product" mindset across engineering teams, ensuring datasets have strict Service Level Objectives (SLOs), rigorous uptime, and high catalog discoverability.

  • Streaming & Real-Time Analytics: Drive the evolution from purely batch-oriented processing to real-time event streaming for critical business domains like Engineering, Finance, and Customer Experience.

  • Build the Golden Record: Evolve our current cross-referenced registry into a highly integrated, multi-domain operational MDM hub (Customer, Product, Vendor/Supplier).

  • Operational Syncing: Ensure mastered data seamlessly flows bidirectionally between analytic environments and core operational execution systems (ERP, CRM, eCommerce).

What they're looking for

  • M&A Readiness: Standardize ingestion frameworks to quickly harmonize data from future acquisitions or new business units without interrupting daily operations.
  • Federated Governance: Establish an enterprise-wide data governance council. Move governance away from gatekeeping and toward a collaborative data stewardship model owned by business units.
  • Automated Observability: Implement modern, automated data lineage, cataloging, and quality testing tools to monitor data health and proactively catch pipeline degradation before it hits business dashboards.
  • Security & Compliance: Partner with Security and Legal teams to ensure the enterprise data platform natively adheres to global regulatory frameworks (GDPR, CCPA, SOX) through robust RBAC/ABAC and automated data masking.