Head of Data & Analytics
PermitFlowNew York City, NYPosted 13 March 2026
Job Description
Head of Data & Analytics
PermitFlow is redefining how America builds. We’re an applied AI company serving the nation’s builders, tackling one of the largest information challenges in the economy: understanding what can be built, where, and how. Our AI agent workforce helps the fastest-growing construction companies navigate everything from permitting and licensing to inspections and project closeouts – accelerating housing, clean-energy, and infrastructure development across the country.
Despite being a $1.6T industry, construction still suffers from massive delays, wasted capital, and lost opportunity. PermitFlow has already delivered unprecedented speed, accuracy, and visibility to over $20B in development, helping contractors reduce compliance time, de-risk projects, and scale with confidence.
As the U.S. enters a new capex supercycle across data centers, factories, housing, and renewables, joining PermitFlow means building the AI infrastructure at the core of every construction project driving the next wave of reindustrialization.
We’ve raised over $90M, most recently completing our Series B, https://www.permitflow.com/blog/permitflow-series-b from top-tier investors including Accel, Kleiner Perkins https://www.linkedin.com/feed/update/urn:li:activity:7401703305569275904/, Initialized, Y Combinator, Felicis, and Altos Ventures, with backing from leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.
Our HQ is in New York City with a hybrid schedule (3 in-office days per week). We prefer NYC-based candidates or those open to relocation.
ROLE OVERVIEW
We are looking for an experienced and strategic Head of Data & Analytics to build and lead PermitFlow’s analytics function.
In this role, you will define how data is structured, analyzed, and leveraged across the company. You will evolve our analytics capabilities from a small team into a well-staffed, strategic organization that partners closely with Sales, Customer Success, Product & Engineering, and Operations.
You’ll be responsible for hiring and developing a team of analysts and data engineers, defining the company’s analytics strategy, and building the systems that enable scalable, reliable insights across the organization.
This is a highly cross-functional leadership role that requires strong technical judgment, excellent collaboration skills, and the ability to operate both strategically and hands-on in a fast-paced startup environment.
WHAT YOU'LL DO
- Build and lead PermitFlow’s analytics organization, evolving it into a strategic partner embedded across the business.
- Hire and develop a team of data engineers and analysts to support stakeholders across Sales, Customer Success, Product, Engineering, and Operations.
- Define PermitFlow’s analytics strategy, including metrics frameworks, data models, analytics tooling, and long-term data architecture.
- Design and oversee the development of scalable data pipelines and analytics infrastructure to support reliable reporting and analysis.
- Establish consistent metric definitions, governance practices, and data quality standards across the organization.
- Partner closely with leadership to identify key metrics, track company performance, and enable data-driven decision-making.
- Drive the vision of enabling 80%+ of analytics use cases to be self-serve across the company.
WHAT WE'RE LOOKING FOR
- 8+ years of experience in analytics, data science, analytics engineering, or data engineering roles.
- 3+ years of experience leading analytics or data teams, ideally in a high-growth startup or technology company.
- Proven experience building analytics functions and teams from early-stage to scale.
- Strong experience designing modern analytics stacks, including data warehouses, ETL/ELT pipelines, and BI tools.
- Deep understanding of data modeling, metrics frameworks, data governance, and data quality practices.
- Excellent communication and collaboration skills, with the ability t ... (truncated, view full listing at source)
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