What You’ll Do
• Architect the company’s data warehouse, cloud platform, pipelines, data models, and BI infrastructure to replace ad-hoc reporting with reliable, reusable assets.
• Establish governance, definitions, and lineage for company KPIs so metrics live in one governed place and survive audit and investor scrutiny.
• Build automated, recurring dashboards and operating reviews for department leaders, executives, the board, and investors—timely, consistent, and decision-useful.
• Govern self-service analytics capabilities so teams answer their own recurring questions without sacrificing consistency or data quality.
• Own platform decisions, vendor relationships, reliability, cost, scalability, and security posture across the data tooling ecosystem.
• Synchronize data across ERP, CRM, planning systems, spend management, HRIS, product telemetry, contract and program systems, and third-party sources.
• Partner with Finance, GTM and Revenue Operations, Mission and Programs, Product, Engineering, and Operations to identify trends and drive decisions with evidence.
• Establish standards for code review, documentation, and quality; set the roadmap, prioritization process, and intake model for the function.
• Build analytics across mixed revenue models—commercial subscriptions, federal contracts and grants, and professional services—ensuring metrics hold up to accounting and audit requirements.
• Hire, onboard, and develop a high-performing analytics team as the business scales; manage the data tooling budget and vendor relationships.