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.
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.
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.
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 the team.
Lead the analytics team's evolution from legacy nightly batch delivery processes to real-time, API-driven data infrastructure to ensure the analytics transformation layer, schemas, and partner-facing data products mature to support real-time consumption patterns alongside existing batch workflows.
Develop and execute the migration roadmap to move partner data delivery from batch-oriented pipelines to API-driven architectures, managing the complexity of running dual delivery patterns during the transition while maintaining data quality and partner SLAs.
Cross-Functional Partnership
Partner with Product and Engineering to support enterprise partner integrations, ensuring the analytics layer delivers consistent, quality-assured data whether consumed via legacy batch processes or emerging real-time APIs.
Drive cross-functional initiatives that require coordination across data, product, engineering, and business teams
Represent the data team in architecture forums, planning sessions, and stakeholder reviews
Communicate complex technical concepts clearly to non-technical executives, building alignment and driving informed decision-making
Build strong relationships with external partners and vendors where analytics deliverables support enterprise integrations
10+ years in data analytics, analytics engineering, or a closely related data role, with at least 3 years in a people management capacity leading teams of 5 or more direct reports
Expert SQL and data modeling proficiency (particularly with large columnar databases such as BigQuery, Snowflake, Redshift).
Expert dbt skills building and maintaining transformation layers, enforcing testing and documentation standards, and establishing dbt best practices across a team
Demonstrated ability to coach and grow analysts at multiple career levels, from early-career analysts learning the craft to senior analysts developing toward technical leadership
Experience contributing to or leading data governance initiatives, including data quality frameworks, access controls, lineage documentation, and standards that support audit or compliance requirements
Working knowledge of designing analytics layers that serve both batch and real-time consumption patterns, via streaming or event-driven data architectures, and the ability to collaborate effectively with data engineering teams that own pipeline infrastructure
Proven track record of working with Product and Engineering to deliver data products, not just reports, including defining data contracts, shaping analytics requirements, and contributing to platform decisions
Strong written and verbal communication skills, with the ability to distill complex data concepts for non-technical executive audiences and drive alignment across competing stakeholder priorities
Demonstrated experience with AI Coding assistants – AI tools are heavily ingrained in Bestow culture.
Proven track record designing an end-to-end data pipeline in cloud frameworks (such as GCP, AWS, Azure) with requirements from multiple stakeholders
Experience with creating alerts and monitoring pipelines that contribute to overall data governance.
Nice-to-have:
Experience with Google Cloud Platform, including BigQuery, Dataflow, or AWS Redshift
Familiarity with workflow orchestration tools such as Apache Airflow
Experience in B2B SaaS, insurtech, fintech, or other regulated industries where data quality and auditability are non-negotiable
Exposure to AI/ML workflows and experience helping analytics teams adopt AI tooling responsibly
At Bestow, we’re proud to be awarded for our team members, innovative products, and culture. Our standard benefits include:
Competitive salary and equity based on role
Policies and managers that support work/life balance, like our flexible paid time off and parental leave programs
100% paid-premium option for medical, dental, and vision insurance
Lifestyle stipend to support your physical, emotional, and financial wellbeing
Flexible work-from-home policy and open to remote
Remote and WFH options, as well as a beautiful, state-of-the-art office in Dallas’ Deep Ellum, for those who prefer an office setting
Employee-led diversity, equity, and inclusion initiatives
Recent Employer Awards include:
Best Place for Working Parents 2023 + 2024 + 2025
Great Place to Work Certified, 2022 + 2023 + 2024 + 2025
Built In Best Places to Work, 2022 + 2023 + 2025
Fortune’s Best Workplaces in Texas 2022 + 2023
Fortune’s Best Workplaces in Financial Services and Insurance 2022 + 2023 + 2024
We value diversity at Bestow. The company will hire, recruit, and promote regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, pregnancy or maternity, veteran status, or any other status protected by applicable law. We understand the importance of creating a safe and comfortable work environment and encourage individualism and authenticity in every team member.
Thanks for considering a job at Bestow!
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