VP, Data Science

VP, Data Science

Through a partnership-based approach, Coterie helps insurance professionals unlock untapped revenue in the small commercial space. With an innovative quoting platform that delivers accurate pricing and bindable quotes in less than one minute, Coterie makes small business insurance effortless. We are on a mission to build and foster a world-class team to bring speed, simplicity, and service to commercial insurance. We value integrity, humility, passion, and intelligence. If you want to push yourself and reshape a $200B+ market, we're excited to talk to you!

Position Summary:

The VP, Data Science will lead Coterie's data science and research functions within the broader Data and Analytics (DnA) organization. Furthermore, the VP, Data Science will develop and mentor a team of highly technical individual contributors and people leaders while setting priorities for the design, documentation, review and delivery of high-quality data science products such as APIs, experiments, interactive data applications, predictive models, reports and automated workflows.

Key Responsibilities:

• Own the roadmaps for the data science and research and development (R&D) subdomains of DnA
• Partner with key stakeholders in compliance, data, engineering, insurance, revenue and security to translate business needs into data science and R&D priorities
• Clearly communicate strategy, progress, risks and recommendations to executive audiences, technical teams and non-technical stakeholders
• Guide data science and R&D subdomains through complex tradeoffs involving business impact, explainability, regulatory considerations, rigor, scalability and speed
• Champion a culture of accountability, collaboration, continuous improvement and intellectual curiosity while ensuring the team remains focused on enterprise priorities rather than isolated technical outputs
• Serve as a senior-level people leader within DnA; responsible for career development, performance expectations and succession plans that support sustainable growth
• Evaluate and improve the tools, processes, metrics and partnerships needed to scale data science and R&D capabilities efficiently across Coterie

Required Qualifications:

• Master's degree or higher in Computer Science, Data Science, Economics, Engineering, Mathematics, Operations Research, Statistics or a related quantitative field
• 10+ years of professional data science experience
• 5+ years of experience managing data teams including coaching, hiring, leadership development, organizational design and performance management; demonstrated success establishing and maintaining accountability, scaling processes and teams
• Strong executive presence and communication skills including the ability to explain complex analytical concepts, model tradeoffs, research outcomes and strategic recommendations to senior stakeholders
• Deep understanding of the data science lifecycle including problem framing, exploratory analysis, experimentation, model development, testing, deployment, monitoring, governance and business impact measurement
• Strong cross-functional leadership skills with a track record of partnering effectively with compliance, data, engineering, insurance, revenue and security teams
• Technical fluency with technologies such as AWS/Azure/GCP, Databricks, Posit and scripting languages (Python, R, SQL)
• Technical fluency with topics such as AI agents and systems, experimental design, LLMs, MLOps, ModelOps

Bonus Skills/Experience:

• Experience developing and deploying AI-based products in production
• Experience leading teams developing and deploying AI-based products in production
• Experience leading or partnering with applied research, experimentation, innovation or R&D teams that explore new data sources, methodologies and technologies
• Experience partnering with actuarial, claims, credit, pricing or underwriting teams
• Experience working in regulated industries such as banking, financial services, healthcare, insurance or related environments with meaningful audit, compliance, governance, and risk expectations

Our Interview Process:

Our hiring process generally consists of four phases. The goal is to provide an opportunity for us to learn more about our candidates while allowing them to get to know us as well!

• Phase 1: Qualified candidates will first meet with a member of our People Operations team for a phone interview. This discussion is a high-level conversation to understand more about your background and interests and for us to share more about Coterie and the position.
• Phase 2: Selected candidates will be invited to participate in an experiential exercise interview with the hiring manager. This will include a project provided in advance along with a 1.5-hour interview conducted with our hiring manager.
• Phase 3: Top candidates will be invited to meet with members of our Data & Analytics (DnA) team. This stage consists of two separate 45-minute team interviews, for a total of 1.5 hours.
• Phase 4: Final candidates will be invited to a 30-minute interview with a senior member of our leadership team.

What's In It For You:

Coterie has excellent benefits for all full-time employees. We offer the following:

• 100% remote
• Health insurance through Aetna (we pay 100% of premiums)
• Dental and vision insurance through Guardian (we pay 100% of premiums)
• Basic life insurance (we pay 100% of premiums)
• Access to flexible spending account (FSA) or health savings account (HSA) (for those using HSA eligible plans)
• 401K plan (up 4% match with immediate vest). Must be 21 years of age or older to participate
• Flexible PTO is expected to align with business needs and generally does not exceed approximately 5 weeks per calendar year.
• 12 company-paid holidays each year
• Continuing education annual stipend
• Annual salary estimated between $185,000-$250,000 based on national data. Candidates who meet all the minimum requirements and possess additional relevant experience, as outlined in the job description, may be considered for a salary above the midpoint of the above range. Salary is based on internal equity; internal salary ranges; market data/ranges; applicant's skills; prior relevant experience; degrees or certifications, etc.

Work Authorization: At this time, Coterie Insurance is unable to consider candidates who require current or future visa sponsorship. Applicants must have authorization to work in the United States without the need for sponsorship now or in the future. Falsification of an application, including work authorization status, is immediate grounds for dismissal from consideration.