Jobs / United States / Elasticsearch INC
Sr. Director, Enterprise Data
Elasticsearch INC · 🇺🇸 United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 20 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 8 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Elasticsearch INC paid sponsored hires in similar roles1 certified filing for “Senior Manager, Data Science” (Sales Managers) in CA: $275k–$275k, median $275k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Elasticsearch INC
The US Department of Labor certified 20 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 8 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Elasticsearch INC →
About the role
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. What is The Role 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. What You Will Be Doing Data Strategy & Platform Evolution • 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. Enterprise Master Data Management (MDM) • 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. Data Governance, Quality, & Compliance • 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. Team Leadership & Operating Model • 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, provid