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 4 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