Director of Data & Analytics
Listed on 2026-08-25
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IT/Tech
Data Analyst, Data Science Manager
About Safe Lease At Safe Lease, we're rethinking how P&C insurance is sold in an age of technological change. We believe the industry's biggest inefficiencies aren't technical problems — they're structural ones. And we're building the team to tackle them.
Safe Lease is a profitable insurance business that designs, underwrites, and distributes specialty coverage for commercial property owners and their tenants. Most insurance companies either distribute products or bear the risk — we do both. We back our policies with our own capital, which means we control the full stack: product design, tech, and the speed at which we move. That end-to-end ownership lets us offer customers real flexibility, saving time and money for more than 4,000 properties insured for billions in value nationwide.
We're a team of 70, growing over 100% annually, and we've done it without sacrificing profitability or culture. Here, you'll get high discretion and a wide aperture of problems to solve. We embrace the newest technologies, move fast together, and operate with the intensity of a small company where every person's work is visible. If you're looking for a place to sharpen your craft alongside people who take their work seriously, you'll fit right in.
Location:
New York City or Austin, TX - (Hybrid)
We are seeking a highly strategic, hands-on Director of Data & Analytics to lead all analytics initiatives across the organization.
Key Responsibilities- Analytics Strategy and Leadership
- Lead the analytics strategy, setting the direction for data collection, management, analysis, and insight generation across insurance and investment management operations.
- Oversee and develop a growing analytics function, ensuring high-quality reporting, modeling, and data practices.
- Translate complex data into actionable insights that inform executive decision-making, operational improvements, and capital allocation.
- Drive automation and analytics tooling, identifying opportunities to modernize systems and improve velocity of insight generation.
- Mentor and build a high-performing analytics team while still being willing to execute hands-on work when needed.
- Data Collection & Governance
- Design and execute data collection frameworks, ensuring inputs are accurate, timely, and consistent across business units.
- Build and operate analytics workflows personally when needed, including hands-on data analysis, dashboard creation, modeling, and KPI development.
- Establish data governance standards, ensuring data quality, consistency, and compliance across the enterprise.
- Cross-Functional Partnership
- Partner with cross-functional executives (Finance, Operations, Product, and Technology) to embed analytics rigor throughout key initiatives.
- Own analytics across a portfolio of investments, coordinating data gathering and reporting across our insurance and investment business to drive visibility and performance management.
- Develop reporting platforms that support underwriting optimization, claims performance, distribution insights, financial forecasting, and operational measurement.
- 5+ years of experience in a leadership capacity, managing teams/direct reports.
- 10+ years of experience in analytics, data strategy, business intelligence, or a related field.
- Proven experience leading company-wide analytics programs, preferably in a fast-moving start-up environment.
- Demonstrated ability to operate both strategically and tactically—comfortable working autonomously and rolling up sleeves to execute.
- Strong background in data operations, statistical analysis, dashboarding, and data governance.
- Experience working with or supporting investment portfolios and/or insurance/financial services analytics.
- Exceptional communication skills with the ability to translate complex data into executive-ready insights.
- Track record of building and leading high-performing analytics teams.
- Experience in insurance operations, insurtech, or commercial real estate investment analytics.
- Proficiency in modern data tools (Snowflake, Databricks, Looker, Tableau, Power BI, SQL, Python, Metabase, etc.).
- Background in operational analytics,…
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