Sr. Director, Enterprise Data

Elastic

3d • $212,100 - $403,200 • Remote

About The Position

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 precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

We are seeking a visionary and execution-focused Senior Director of Enterprise Data to lead the transformation and maturity of our data ecosystem. Having recently scaled to $2 billion in annual revenue, we are actively building the infrastructure, governance, and operational models required to sustain our trajectory to $4 billion and beyond.

In this role, reporting to the CIO, you will own the end-to-end data strategy, evolving our data platform architecture, scaling our Master Data Management (MDM) systems into an active operational hub, and institutionalizing federated data governance. You will bridge the gap between complex engineering and business execution, transforming data from a utility into a high-octane product that powers real-time decision-making, predictive analytics, agentic AI and operational efficiency across the global enterprise.

Requirements

• Minimum of 12+ years of progressive leadership in data engineering, data architecture, or enterprise data management, with explicit experience inside an organization operating in a B2B environment at a $1B to $5B+ revenue scale.
• Deep hands-on and strategic familiarity with modern cloud data stacks (e.g., Snowflake, Databricks, BigQuery, AWS/Azure data suites) and enterprise MDM platforms (e.g., Informatica, Reltio, Semarchy, Profisee).
• Documented success in leading complex corporate data migrations or massive MDM implementations across multi-business-unit enterprises.
• Ability to translate complex technical jargon into clear business value, financial ROI, and strategic alignment for C-suite executives.
• Minimum of 5 years managing manager-level and architect-level direct reports, with a track record of hiring, mentoring, and retaining top-tier engineering talent.

Nice To Haves

• Experience navigating fast-paced, high-growth environments characterized by rapid organizational restructuring or frequent Mergers & Acquisitions (M&A).
• Expertise in setting up a Data Mesh or federated data architecture in a hybrid or multi-cloud environment.
• Active engagement or understanding of integrating AI/ML infrastructure readiness into core enterprise data platforms.

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 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).
• 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.
• Scale the Organization: Restructure and grow a high-performing data team consisting of data engineers, MDM specialists, platform architects, and data governance managers.
• Centralized Infrastructure, Embedded Analytics: Champion a hub-and-spoke operating model, providing a central platform layer while enabling embedded data analysts within business units to move fast safely.
• Cultivate Data Ops: Instill software engineering rigor into data workflows, including CI/CD deployment pipelines, infrastructure-as-code, and comprehensive automated test suites.

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave
• company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings
• Elastic's stock program

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed