# Sr. Director, Enterprise Data

**Company**: Elastic
**Location**: United States
**Experience**: executive
**Job type**: full-time
**Salary**: $212,100-$335,600 USD
**Category**: IT
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/elastic/jobs/8207941?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c40e07e2-321

## Description

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.

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.

### Responsibilities

#### Data Strategy & Platform Evolution

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

- Transition our centralized pipelines into a modern, decoupled data architecture.

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

- 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)

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

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

- Standardize ingestion frameworks to quickly harmonize data from future acquisitions or new business units without interrupting daily operations.

#### Data Governance, Quality, & Compliance

- Establish an enterprise-wide data governance council. Move governance away from gatekeeping and toward a collaborative data stewardship model owned by business units.

- Implement modern, automated data lineage, cataloging, and quality testing tools to monitor data health and proactively catch pipeline degradation before it hits business dashboards.

#### Team Leadership & Operating Model

- Restructure and grow a high-performing data team consisting of data engineers, MDM specialists, platform architects, and data governance managers.

- Champion a hub-and-spoke operating model, providing a central platform layer while enabling embedded data analysts within business units to move fast safely.

- Instill software engineering rigor into data workflows, including CI/CD deployment pipelines, infrastructure-as-code, and comprehensive automated test suites.

### Requirements

- Proven Scale Experience: 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.

- Architectural Fluency: 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).

- Change Management Mastery: Documented success in leading complex corporate data migrations or massive MDM implementations across multi-business-unit enterprises.

- Business Acumen: Ability to translate complex technical jargon into clear business value, financial ROI, and strategic alignment for C-suite executives.

- People Leadership: 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.

### 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

## Skills

### Required
- data engineering
- data architecture
- enterprise data management
- cloud data stacks
- Master Data Management (MDM)
- data governance
- data quality
- team leadership

### Nice to have
- Experience navigating fast-paced, high-growth environments
- Expertise in setting up a Data Mesh or federated data architecture
- Active engagement or understanding of integrating AI/ML infrastructure readiness into core enterprise data platforms

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/elastic/jobs/8207941?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)