Director of Data and Analytics

We need to output HTML fragment with sections: About the role? The posting includes description. We need headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections where there is real specific content. We must not repeat job title. No Job ID etc. Remove boilerplate. We need to parse content: The posting includes: - Intro: "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. Note: Candidates must reside in one of our approved hiring hubs: DC/Maryland/Virginia Raleigh/Durham/Chapel Hill, NC Denver/Colorado Springs, CO Dallas/Fort Worth, TX This is a full-time position." Then "What You'll Do" list. Then "What You Bring" list. Then "Preferred Experience" list. Then "The base salary for this position will fall between $200,000 and $230,000. Your ultimate compensation will be determined by professional background, technical proficiency, seniority, and regional cost factors. Furthermore, this opportunity includes potential eligibility for equity awards and discretionary bonuses, rounding out a comprehensive total rewards offering." Then "Success at 2F Looks Like:" list of traits. Then "Perks & Benefits:" list. Then "Who We Are:" description. Then EEO etc. We need to produce sections: About the role (intro paragraph), Responsibilities (What You'll Do), Requirements/Qualifications/Skills (maybe combine?), Benefits, Pay, Schedule. We need to decide which sections to include based on content. - About the role: we have intro paragraph describing role. Good. - Responsibilities: "What You'll Do" list. - Requirements: maybe "What You Bring" plus "Preferred Experience". Could separate Requirements (mandatory) and Preferred Experience (optional). But we have to include sections only if real specific content. We have both. - Skills: maybe we can extract skills from requirements (SQL, etc.) but we could also put under Requirements. - Benefits: "Perks & Benefits:" list. - Pay: salary range and equity/bonus mention. - Schedule: "This is a full-time position." Also maybe mention flexible remote work opportunities? That's under benefits. Schedule: full-time. We need to avoid filler like "commensurate with experience". Not present. We must not include boilerplate like EEO, legal, application instructions, etc. We must not repeat job title. We must not include Job ID. We must not include duplicated lines. We need to preserve all substantive information. We need to output only HTML fragment, no /, no markdown fences. We'll produce something like:

About the role

...

Responsibilities

• ...
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Requirements

• ...
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Preferred Experience

• ...
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Skills

• ...
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maybe combine. But we need to avoid thin sections. Could combine Requirements and Skills into one? But spec says use headings for those categories. We can include them if they have content. We have mandatory requirements: 8+ years experience, 3+ years leading, demonstrated experience building analytics capability zero-to-one, advanced SQL, deep hands-on experience with modern data stacks, working knowledge of SaaS business metrics, experience building reporting for execs/boards/investors, track record designing data governance frameworks, ability to translate technical to business, comfort with ambiguity, etc. Preferred Experience: scaling B2B software, $10M-$200M ARR, mixed revenue model, Python/R. Skills: maybe list specific tools: Snowflake, BigQuery, Databricks, Redshift, dbt, ingestion tooling, semantic layers, Looker, Power BI, Tableau, Sigma, etc. Also Python/R. We could put those under Skills. We need to ensure we don't invent content. Let's extract exact phrases. From "What You Bring": - 8+ years in data, analytics, or business intelligence, including 3+ years leading a function, a team, or a company-wide data initiative. - 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. - 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. - 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. - Experience building reporting consumed by executives, boards, or investors, with the accuracy discipline that implies. - 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. - Ability to translate between a technical implementation and a business decision, in both directions, without losing either audience. - Comfort with ambiguity and with owning outcomes rather than tickets. This is a build role. From "Preferred Experience": - 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. From "What You'll Do" list (responsibilities): - 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. From "Perks & Benefits:" list: - Competitive salary - 100% employer-paid medical, dental, and vision coverage for you and your dependents - 401(k) with a 3% company contribution - Comprehensive wellness benefits, including a One Medical membership, mental health resources, family planning support, and more - Equity incentive plan - New hire technology and home office stipend - Annual professional development stipend - Flexible paid time off, plus all federal holidays - Generous parental leave - Flexible remote work opportunities - Employee referral bonus program From Pay section: - The base salary for this position will fall between $200,000 and $230,000. - Your ultimate compensation will be determined by professional background, technical proficiency, seniority, and regional cost factors. - Furthermore, this opportunity includes potential eligibility for equity awards and discretionary bonuses, rounding out a comprehensive total rewards offering. Also later there is "Compensation Range: $210K - $230K" but that's duplicate? We'll include the salary range. Schedule: "This is a full-time position." Also maybe note flexible remote work opportunities but that's benefit. We need to avoid duplication: we have competitive salary already in benefits; but we still need Pay section with specifics. We must not include boilerplate like "Visit our careers page to learn more." etc. We must not include "Who We Are:" description? That's substantive about company; maybe we could include under About the role? But About the role already includes role description; we could add a brief company description but not required. The instruction: preserve ALL substantive information; do NOT invent or summarize away detail. So we should include company description somewhere. Could be part of About the role? But About the role heading is for role description; we could add a separate section "About the company" but not in allowed headings list. The allowed headings are About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we must fit company description into one of those. Probably About the role can include both role and company overview. That's acceptable. Thus About the role paragraph can include the intro plus company description from "Who We Are:" and maybe the mission statement. Let's extract "Who We Are:": "Second Front Systems (2F) is a public-benefit software company powering software for the free world. We eliminate the friction that slows innovation, enabling faster, more secure development and deployment of software across government and regulated networks. Built by national security veterans and backed by top-tier venture capital, our platform is trusted by the world’s leading organizations to cut deployment timelines from years to weeks. We move fast, solve hard problems, and deliver trusted capabilities where they’re needed most. Our work strengthens global security and gives the United States and its allies a lasting competitive advantage. Learn more at secondfront.com." We can incorporate that into About the role paragraph. Now we need to ensure we don't include EEO etc. Now produce HTML. We'll structure:

About the role

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,