Director of Data & Analytics Job New York New York USA,IT/Tech

Location: New York

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)

Position Overview

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.

Minimum Qualifications

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.

Preferred Qualifications

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,…