Head of Enterprise Data & Analytics (Hybrid)
- 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.
- 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
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