Senior Director of Enterprise Data

Elastic; United States; Hybrid; USD 240,000 - 360,000; Full time

Benefits offered by this job

Health coverage

Flexible location

Generous vacation

Parental leave

Volunteer time

Charity match

Job summary

Elastic is seeking a visionary Senior Director of Enterprise Data to own end-to-end data strategy, platform evolution, and governance. You will scale MDM into an active operational hub and institutionalize a federated governance model across a global enterprise.

You will bridge engineering and business, turning data into a real-time decision engine and a scalable data product with strong SLOs and catalog visibility.

Qualifications

• Minimum 12+ years in data leadership, scale-focused roles in a B2B environment.
• At least 5 years managing managers and architects directly.
• Proven ability to translate technical data programs into business value and ROI.
• Deep cloud data stack experience and enterprise MDM platforms.
• Experience driving data as a product with SLOs and catalogs.
• Experience with M&A data integration and large-scale migrations.

Responsibilities

• Define and execute a data strategy that scales to multi-billion revenue.
• Lead architecture, governance, and federated data management across groups.
• Transform data from utility to real-time product powering decisions.
• Drive real-time analytics, data cataloging, and automated observability.
• Partner with Security, Legal, and business units to ensure compliance.

Skills

Leadership

Data Architecture

Data Governance

MDM

Data Mesh

Cloud Data Platforms

AI/ML Readiness

Stakeholder Communication

Tools

Snowflake

Databricks

BigQuery

AWS

Azure

Informatica

Reltio

Semarchy

Profisee

Job description

• 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
• 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

• Toast to your health: Fully paid health coverage for you and your family, in many locations.
• Craft your calendar: Flexible location and schedule for most roles.
• Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
• Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
• Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
• Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).

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 scaleBusiness Acumen: Ability to translate complex technical jargon into clear business value, financial ROI, and strategic alignment for C-suite executivesArchitectural 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)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 talentChange Management Mastery: Documented success in leading complex corporate data migrations or massive MDM implementations across multi-business-unit enterprisesExperience 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 environmentActive engagement or understanding of integrating AI/ML infrastructure readiness into core enterprise data platforms