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Sr. Director, Enterprise Data

Elastic· IT
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Remotefull-timePosted 4w ago

About the role

Senior leadership role to transform and mature Elastic's data ecosystem, scaling data strategy, MDM, governance, and platform capabilities to enable real-time decision-making and AI-enabled operations across a global enterprise.

Responsibilities

  • 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 current cross-referenced registry into a highly integrated, multi-domain operational MDM hub (Customer, Product, Vendor/Supplier).
  • Operational Syncing: Ensure mastered data flows bidirectionally between analytic environments and core operational systems (ERP, CRM, eCommerce).
  • M&A Readiness: Standardize ingestion frameworks to harmonize data from future acquisitions without interrupting daily operations.
  • Federated Governance: Establish enterprise-wide data governance council and evolve governance to a collaborative model owned by business units.
  • Automated Observability: Implement data lineage, cataloging, and quality testing tools to monitor data health and catch degradation before dashboards
  • Security & Compliance: Ensure platform adheres to GDPR, CCPA, SOX with RBAC/ABAC and automated data masking.
  • Scale the Organization: Grow a data team including data engineers, MDM specialists, platform architects, and data governance managers.
  • Centralized Infrastructure, Embedded Analytics: Promote hub-and-spoke operating model with embedded analysts in business units.
  • Cultivate Data Ops: Introduce CI/CD, infrastructure-as-code, and automated tests for data workflows.

Qualifications

  • Minimum of 12+ years of progressive leadership in data engineering, data architecture, or enterprise data management in a B2B environment at $1B–$5B+ revenue scale.
  • Deep hands-on and strategic fluency with modern cloud data stacks (Snowflake, Databricks, BigQuery, AWS/Azure data suites) and MDM platforms (Informatica, Reltio, Semarchy, Profisee).
  • Track record of leading complex corporate data migrations or large MDM implementations across multi-business-unit enterprises.
  • Ability to translate technical value into business ROI and strategic alignment for C-suite executives.
  • Minimum of 5 years managing manager-level and architect-level direct reports with hiring, mentoring, and retention success.

Skills

Required:Data strategyCloud data stacksMDM platformsData governance

Benefits

  • Stock program eligibility
  • Company-matched 401k with dollar-for-dollar matching up to 6%
  • Health coverage for employee and family in many locations
  • Flexible locations and schedules
  • Generous vacation days
  • Volunteer time allowance (up to 40 hours/year)
  • Parental leave (minimum 16 weeks)
  • Diversity and inclusion commitments
Last updated Sep 24, 2026. Interested? Apply on the company site.
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