Sr. Director, Enterprise Data
Job Description
<div class="content-intro"><p>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.</p></div><h3><strong>What is The Role</strong></h3> <p>We are seeking a visionary and execution-focused <strong>Senior Director of Enterprise Data</strong> to lead the transformation and maturity of our data ecosystem. Having recently scaled to <strong>$2 billion in annual revenue</strong>, we are actively building the infrastructure, governance, and operational models required to sustain our trajectory to <strong>$4 billion and beyond</strong>.</p> <p>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.</p> <h3><strong>What You Will Be Doing</strong></h3> <p><strong>Data Strategy & Platform Evolution</strong></p> <ul> <li><strong>Architect the Future:</strong> Design, execute, and evolve a scalable data platform roadmap capable of handling a multi-billion dollar enterprise’s volume, velocity, and variety of data.</li> <li><strong>De-bottleneck Legacy Infrastructure:</strong> Transition our centralized pipelines into a modern, decoupled data architecture.</li> <li><strong>Data as a Product:</strong> Implement a "Data as a Product" mindset across engineering teams, ensuring datasets have strict Service Level Objectives (SLOs), rigorous uptime, and high catalog discoverability.</li> <li><strong>Streaming & Real-Time Analytics:</strong> Drive the evolution from purely batch-oriented processing to real-time event streaming for critical business domains like Engineering, Finance, and Customer Experience.</li> </ul> <p><strong>Enterprise Master Data Management (MDM)</strong></p> <ul> <li><strong>Build the Golden R