Data Analytics Manager

Data Analytics Manager ABOUT BESTOW Life insurance is one of the world's most important products. It's also one of the hardest to build, distribute, and modernize. Bestow exists to change that. Bestow is a leading vertical technology platform serving some of the largest and most innovative life insurers. Our platform unifies the fragmented, legacy value chain, enabling carriers to launch products in weeks instead of years. Carriers choose us to scale and operate at unprecedented speed, powered by AI and automation. Bestow isn't selling policies. We're building the infrastructure that helps an entire industry move faster, reach more people, and deliver on its promise. Backed by leading investors (Goldman Sachs, Hedosophia, NEA, Valar, 8VC) and trusted by major carriers, Bestow is powered by a team that moves with precision, purpose, and heart. If you want to help reimagine a centuries-old industry with lasting impact, join us. Bestow offers flexible remote/hybrid work, meaningful benefits, equity, and substantial growth opportunities. Bestow participates in the E-Verify Program https://www.bestow.com/e-verify. ABOUT THE TEAM The Bestow Data Analytics team plays a significant role within the organization, working across the entire company to provide scalable data solutions within the platform and toward integrations with external partners. The data analytics team partners with product and engineering in order to deliver high quality data products to the life insurance market, and works alongside data engineers and data scientists to improve data architecture, quality, data governance, and automation. ABOUT THE ROLE As the Analytics Manager, you will lead a team of analysts who partner with Product and Engineering to deliver data products for the life insurance market. Your primary responsibility is to build, grow, and champion your team, complemented by significant hands-on technical and strategic contributions. You will set the vision for how we model and deliver data, drive maturity in our dbt analytics stack, and ensure data quality and governance standards are upheld across all workloads. You balance being a player and a coach: occasionally rolling up your sleeves on complex SQL or dbt transformations while spending the majority of your time on the things that scale: mentorship, roadmap, process, and cross-functional alignment. You will report to the Sr. Manager of Analytics and partner closely with the Data Engineering Manager, who owns pipeline infrastructure and Airflow orchestration. WHAT YOU'LL DO People Leadership & Team Development - Lead, mentor, and grow a team of analysts at multiple career levels, building skills in SQL, dbt, data modeling, and stakeholder communication. - Conduct regular 1:1s, design reviews, and PR reviews, providing timely and actionable technical feedback that accelerates analyst growth. - Own the full hiring lifecycle for analytics roles, from defining job requirements through offer, and build onboarding programs that accelerate ramp time. - Foster a culture of engineering excellence, experimentation, documentation, and continuous improvement. - Make decisions as a team: the systems you build will be maintained and extended by others, so defensible design decisions and high collaboration are non-negotiable. Technical Leadership & Strategy - Define and drive the technical roadmap for data transformations and the analytics layer, establishing dbt modeling and quality patterns and standards that scale across the organization. - Evaluate and champion emerging technologies and best practices in data analytics, including responsible adoption of AI tooling - Establish data governance frameworks, quality standards, and lineage documentation practices that support audit and compliance requirements in a regulated insurance environment - Participate in on-call rotation for data availability as part of a shared rotation with Data Engineering; this is lightweight and shared across ... (truncated, view full listing at source)