Director of Data and Analytics

Second Front Systems, Inc.; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

Remote-first with flexible time off

401(k) & equity incentives

Professional development stipend

Job summary

Second Front Systems, Inc. is seeking a Director of Data & Analytics to build and lead a centralized data function from the ground up.

Reporting to the VP of Finance, you will own the full data lifecycle across the company—from systems integration and data architecture through business intelligence, reporting, and analysis. This hands-on, player-coach role designs the data warehouse, governance, and dashboards, partnering with leadership across Finance, Go-to-Market, Mission, Product, Services,

Qualifications

• Demonstrated experience building analytics capability from zero to scale.
• Experience reporting to executives, boards, or investors with accuracy discipline.
• 8+ years in data/analytics/BI; 3+ years leading function.
• Ability to translate technical implementations into business decisions.
• Data governance framework design across finance, sales, engineering.
• Familiarity with SaaS metrics (ARR, CAC, gross margin).

Responsibilities

• Architect data warehouse and BI infrastructure to replace ad-hoc reporting.
• Build automated dashboards for department leaders, executives, board, investors.
• Define metrics, data sources, and governance with single source of truth.
• Lead and develop analytics team as the company scales.
• Partner with cross-functional leaders to drive evidence-based decisions.
• Own platform decisions, costs, security posture, and vendor relationships.

Skills

Leadership

Data analytics

SQL

Python/R

Data governance

Stakeholder communication

Business metrics

Tools

Snowflake

BigQuery

Databricks

Redshift

dbt

Looker

Power BI

Tableau

Sigma

Job description

• Second Front Systems is seeking a Director of Data & Analytics to build and lead our centralized data and analytics function from the ground up
• Reporting to the VP of Finance, you will own the full data lifecycle across the company - from systems integration and data architecture through business intelligence, reporting, and analysis
• This is a highly hands-on, player-coach role for someone who is excited to create the foundation, not inherit it
• Our core systems and tools are in place, and reporting is accurate, but much of it is labor intensive, and our data structure is early in its maturity
• You will establish the architecture, processes, governance, and reporting capabilities needed to create a trusted, scalable source of truth across the organization
• You will work closely with leaders and teams across Finance, Go-to-Market, Mission, Product, Services, Support, Engineering, People, and Operations
• You will connect and structure disparate data sources, define consistent metrics, and answer the questions those teams are actually asking
• A key part of the role is partnering directly with leadership to build the automated and recurring management, executive, and board reporting that improves visibility into company performance and supports faster, better decisions
• Success here means moving seamlessly between strategy and execution by designing the long-term vision for the function while personally getting into the data, building integrations and models, creating dashboards, and solving complex business questions
• Over time, you will build and develop a high-performing analytics team as the needs of the business scale
• 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
• Success at 2F Looks Like:
• A proactive and solutions oriented mindset
• Viewing obstacles as opportunities for growth
• Having a bias toward action and tangible, measurable results
• Being team-oriented with a focus on personal responsibility and autonomy

Benefits

• Health & Wellness: Receive 100% medical, dental, and vision coverage for you and your family.
• PTO & Remote First: We provide flexible time off, recognize 11 federal holidays, and offer paid parental leave.
• 401(k) & Equity: Invest in your future. Our 401(k) and equity incentives help you build wealth as we grow together.
• Professional Development: We value your drive to grow and provide an annual stipend for self-directed professional development.

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 stackExperience building reporting consumed by executives, boards, or investors, with the accuracy discipline that implies8+ years in data, analytics, or business intelligence, including 3+ years leading a function, a team, or a company-wide data initiativeAbility to translate between a technical implementation and a business decision, in both directions, without losing either audienceA track record of designing data governance frameworks that enforce metric definitions across competing business units—finance, sales, engineering—without freezing the organization or spawning workaroundsWorking 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 scrutinyComfort with ambiguity and with owning outcomes rather than tickets. This is a build roleAdvanced 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 stackExperience in a scaling B2B software or technology company, ideally in the ~$10M–$200M ARR/revenue range and during a period of rapid growthExperience 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 customersPython or R for analysis beyond what SQL handles well