Director, Data Science
About The Position
SageSure, a leader in catastrophe-exposed property insurance, is seeking a Director, Data Science. In this role, you will lead a team of data scientists in solving some of the most complex and high-impact challenges in the business. You will guide the development of advanced analytics, AI, and machine learning solutions while shaping strategy, influencing cross-functional decision-making, and building scalable processes that mature SageSure’s data capabilities. We are looking for a highly motivated, strategically minded, and innovative leader who thrives in both ambiguity and complexity—someone who can elevate team performance, collaborate across the organization, and set a vision for the future of Data Science at SageSure.
Requirements
- Bachelor’s or Master’s degree in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, etc.).
- 3+ years of leadership experience managing data scientists or analytics teams in a fast-paced environment.
- Deep expertise in Python, SQL, and modern data science/ML tooling (Pandas, NumPy, TensorFlow, etc.).
- Strong understanding of AWS or comparable cloud architecture.
- Demonstrated success delivering machine learning solutions that drive measurable business outcomes.
- Proven ability to think strategically, manage complex initiatives, and prioritize effectively across competing demands.
- Exceptional communication skills, with the ability to influence senior executives and guide teams through ambiguity.
Nice To Haves
- Experience in P&C insurance or another highly regulated, data-intensive industry.
- Exposure to large-scale, real-time data pipelines and MLOps practices.
- Experience building cross-functional operating models, processes, or governance frameworks.
- Experience leading through organizational change and building long-term analytics foundations.
Responsibilities
- Partner with senior leaders across Product, Engineering, Program, and Operations to understand business needs and translate them into a cohesive Data Science strategy and roadmap.
- Influence and align stakeholders by articulating clear priorities, trade-offs, and expected outcomes; ensure downstream teams have full context to execute effectively.
- Foster a culture of accountability, collaboration, and continuous improvement across the team and cross-functional partners.
- Lead, mentor, and develop a high-performing team of data scientists; provide coaching, career development, and structured feedback while ensuring clarity of expectations.
- Build strong team health by promoting inclusion, psychological safety, and a values-driven culture.
- Ensure the team structure, processes, and operating rhythms support long-term scalability and organizational needs.
- Oversee the design, development, and deployment of machine learning models and advanced analytics solutions that drive business impact, improve operational efficiency, and strengthen decision-making.
- Champion experimentation, innovation, and responsible use of AI; ensure solutions adhere to best practices in model governance, data ethics, and performance monitoring.
- Translate complex technical concepts into clear, actionable insights for non-technical stakeholders, including senior executives.
- Build and refine scalable processes, documentation, and standards that enhance quality, reproducibility, and onboarding efficiency.
- Ensure responsible stewardship of data, models, and technical resources; make fiscally sound decisions aligned with departmental objectives and priorities.
- Break down silos by promoting cross-functional problem-solving and encouraging teams to think beyond their lane to achieve shared goals.
Benefits
- Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023)
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What This Job Offers
Job Type
Full-time
Career Level
Director
