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SageSure

Underwrites high-risk coastal homeowners and businesses

Director Data Science

Data ScienceConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's or master's degree in a quantitative field, such as Data Science, Computer Science, Statistics, or Mathematics.
  • At least 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 and machine-learning tools such as Pandas, NumPy, and TensorFlow.
  • Strong understanding of AWS or comparable cloud architecture.
  • Demonstrated success delivering machine-learning solutions that drive measurable business outcomes.
  • Ability to think strategically, manage complex initiatives, and prioritize effectively across competing demands.
  • Ability to influence senior executives and guide teams through ambiguity.

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, and ensure downstream teams have the context needed to execute effectively.
  • Foster 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.
  • Promote inclusion, psychological safety, and a values-driven culture to build strong team health.
  • Ensure 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 follow 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, making fiscally sound decisions aligned with departmental objectives and priorities.
  • Promote cross-functional problem-solving and encourage teams to work across organizational boundaries to achieve shared goals.

Desired Qualifications

  • 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.

About the Company

SageSure

Underwrites high-risk coastal homeowners and businesses

SageSure provides homeowners and small business insurance in high-risk coastal areas that traditional insurers often overlook. It offers tailored insurance products for underserved markets and relies on experienced professionals in underwriting, product development, sales, technology, and customer service to serve these clients. The company uses data analytics and risk assessment to price policies competitively while maintaining quality coverage, achieving profitability through underwriting premiums. SageSure’s goal is to ensure reliable, affordable protection for customers in coastal risk zones by focusing on niche markets, expert guidance, and personalized service rather than generic coverage.

Company size
501-1,000
Company stage
Debt Financing
Total funding
$1.7B
Headquarters
Jersey City, NJ
Founded
2009

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