Head of Enterprise Data & Analytics (Hybrid)

Head of Enterprise Data & Analytics

Role Overview:

The Head of Enterprise Data Management & Analytics is a senior leadership role responsible for defining and executing the company’s enterprise data strategy. This role will build and oversee a team of data architects, data scientists, and data engineers focused on enterprise-wide data assets and their exposure, ensuring data is trusted, governed, scalable, and analytics-ready to support business growth, regulatory requirements, and strategic decision-making.

As a small but rapidly scaling public company, this role requires a hands-on leader who can balance strategy with execution, build foundational capabilities, and partner closely with business and technology leaders.

What you’ll do:

Enterprise Data Strategy & Leadership

• Define and execute the enterprise data management and analytics strategy aligned with business objectives and growth plans.
• Serve as the senior leader for enterprise data architecture, data governance & privacy, analytics, and data science capabilities.
• Establish operating models, standards, and best practices suitable for a growing public company.
• Build, lead, and mentor a high-performing team of data architects and data scientists.

Data Architecture & Platform Oversight

• Own the enterprise data architecture, including data models, integration patterns, and analytics platforms.
• Ensure scalable, secure, and reliable data pipelines across internal and external data sources.
• Partner with engineering and IT teams on cloud data platforms, tooling, and technology roadmaps.
• Drive simplification and modernization of data systems as the company scales.

Data Governance, Quality & Compliance

• Establish and oversee enterprise data governance, including data ownership, stewardship, metadata, and lineage.
• Ensure data quality, consistency, and integrity across enterprise systems.
• Partner with Legal, Finance, and Compliance teams to support public company requirements (e.g., SOX, audit readiness, regulatory reporting).
• Define and enforce policies for data privacy, security, and appropriate use.

Analytics & Data Science Enablement

• Lead the development of enterprise analytics, business intelligence,  and reporting capabilities to support executive, operational, and functional decision-making.
• Oversee data science initiatives that drive insights, forecasting, optimization, and business value.
• Ensure analytics solutions are scalable, well-documented, and embedded into business workflows.
• Promote a data-driven culture across the organization.

Business Partnership & Stakeholder Management

• Act as a trusted advisor to senior leaders across Finance, Operations, Engineering, Sales, and other functions.
• Translate business needs into data and analytics solutions with measurable impact.
• Communicate complex data concepts clearly to technical and non-technical audiences.
• Prioritize initiatives based on business value, risk, and resource constraints.

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