Define and own the long-term data architecture and tooling strategy across ingestion, warehouse, transformation, BI, and governance layers to ensure scalability and reliability.
Establish and enforce canonical KPI definitions and governance processes to ensure consistency, auditability, and enterprise-wide trust in reporting.
Design and implement a repeatable data integration framework that accelerates onboarding of new acquisitions and improves speed-to-insight across the platform.
Oversee external data engineering partners, technology vendors, platform spend, and SLAs to ensure performance and cost efficiency.
Serve as the primary data partner to executive leadership, translating operational and financial requirements into technical decisions.

8+ years of experience in data, analytics, or data platform leadership
Proven experience designing and scaling modern cloud data architectures (e.g., Snowflake or similar)
Strong understanding of dimensional modeling, semantic layers, and reporting infrastructure
Experience in PE-backed, multi-entity, or high-growth environments preferred
Demonstrated experience leading analytics engineering or BI teams
Strong commercial acumen with fluency in financial and operational metrics
Experience managing external vendors and technology budgets

VP, Data and Analytics

Key skills