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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.
Job Responsibility:
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
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
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
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
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
Requirements:
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s preferred)
10+ years of experience in data management, analytics, or related roles, with increasing leadership responsibility
Proven experience leading teams of data architects and/or data scientists
Strong expertise in enterprise data architecture, data warehousing, and analytics platforms (cloud-based preferred)
Experience establishing data governance and quality frameworks in a regulated or public company environment
Ability to operate effectively in a fast-paced, high-growth setting
Familiarity with SOX, financial reporting data requirements, and audit support
Hands-on experience with modern data stacks (e.g., cloud data warehouses, BI tools, orchestration frameworks)
Demonstrated success scaling data capabilities alongside rapid business growth
Excellent written and verbal communication skills
What we offer:
Equal-opportunity employer committed to creating a diverse and inclusive workplace
Reasonable accommodations for applicants with physical or mental disabilities, and those with sincerely held religious beliefs