Director of Data and Analytics

Join Second Front Systems as the Director of Data & Analytics. In this hands-on role, you will build and lead our centralized data and analytics function from the ground up. You will own the full data lifecycle across the company, establish architecture and processes, and create a trusted, scalable source of truth. You will work closely with leaders across various teams and build a high-performing analytics team as the business scales.

Establish the architecture, processes, governance, and reporting capabilities needed to create a trusted, scalable source of truth across the organization.

Build and develop a high-performing analytics team as the needs of the business scale, and manage the data tooling budget and vendor relationships.

Comfort with ambiguity and with owning outcomes rather than tickets. This is a build role

Responsibilities

• Partner directly with leadership to build the automated and recurring management, executive, and board reporting that improves visibility into company performance.
• Working knowledge of SaaS business and financial metrics — ARR and its movements, retention, CAC and payback, gross margin, cohort behavior — and the judgment to recognize when a metric is being calculated in a way that will not survive scrutiny

Requirements

• Demonstrated experience building an analytics capability where little or none existed — you have done the zero-to-one version of this, not only operated a mature stack
• Experience building reporting consumed by executives, boards, or investors, with the accuracy discipline that implies
• 8+ years in data, analytics, or business intelligence, including 3+ years leading a function, a team, or a company-wide data initiative
• Ability to translate between a technical implementation and a business decision, in both directions, without losing either audience
• A track record of designing data governance frameworks that enforce metric definitions across competing business units—finance, sales, engineering—without freezing the organization or spawning workarounds
• Advanced SQL and deep hands-on experience building with modern data stacks, such as cloud warehouses (Snowflake, BigQuery, Databricks, or Redshift), transformation frameworks (dbt or equivalent), ingestion tooling, semantic layers, and BI platforms (Looker, Power BI, Tableau, Sigma, or similar). You do not need to have used every tool listed, but you should be capable of architecting and building across the stack
• Experience in a scaling B2B software or technology company, ideally in the ~$10M–$200M ARR/revenue range and during a period of rapid growth
• Experience reporting on a mixed revenue model — subscription revenue alongside government contracting (fixed-price, FAR-based) and professional services — and familiarity with the reporting expectations that come with federal or regulated-industry customers
• Python or R for analysis beyond what SQL handles well

Pay

USD 200,000 - 230,000