Director of Data Science: Underwriting AI & Analytics Leader

Sunlife; Wellesley (MA); On-site; USD 153,000 - 230,000; Full time

Job summary

Sun Life US is seeking a Director of Data Science to lead an analytics squad in applying ML and AI to underwriting, pricing, and decision optimization. You will set a roadmap, translate business problems into analytics products, and drive adoption with business leaders and SMEs.

A strong focus on governance, reliability, and explainability is required. You will build and mentor a data science team, partner across Underwriting, Actuarial, Product, Finance, and Technology, and ensure sustained

Qualifications

• Broad range of programming languages and data environments incl. Python, SQL, Snowflake, Dataiku.
• Expertise in data science including conditioning, modeling, deployment, monitoring.
• Strong knowledge of statistical, ML, and analytical foundations.
• Experience leading analytics solutions combining structured and unstructured data.
• Experience applying analytics to underwriting, pricing, risk decisions.
• Commitment to data governance, responsible AI, security and sensitive data handling.
• Proven people leadership and team development experience.
• Business acumen linking analytics to underwriting, growth, profitability, and efficiency.
• Excellent communication and stakeholder management skills.

Responsibilities

• Lead advanced analytics solution development for underwriting, pricing, and related decision processes across Sun Life US group businesses.
• Shape and maintain a prioritized roadmap of high-value use cases aligned with business strategy and measurable outcomes.
• Translate business problems into analytics product requirements, success measures, and adoption plans.
• Partner with stakeholders to deliver workflow-ready, scalable and compliant solutions.

Skills

Python

SQL

Snowflake

Dataiku

Machine learning

AI

Leadership

Communication

Education

BS/MS/PhD in statistical/math/technical field

Job description

Sun Life US is seeking a Director of Data Science to lead an analytics squad in applying ML and AI to underwriting, pricing, and decision optimization. You will set a roadmap, translate business problems into analytics products, and drive adoption with business leaders and SMEs.

A strong focus on governance, reliability, and explainability is required. You will build and mentor a data science team, partner across Underwriting, Actuarial, Product, Finance, and Technology, and ensure sustained