Director, Data Science — AI-Driven Underwriting & Pricing

Sun Life Financial; Wellesley (MA); On-site; USD 153,000 - 230,000; Full time

Benefits offered by this job

Generous vacation and sick time

Market-leading paid family, parental,

adoption leave

Medical coverage

Company paid life and AD&D insurance

Disability programs

Partially paid sabbatical program

401(k) employer match

Stock purchase options

Inclusive work environment

Job summary

Sun Life Financial in the United States seeks a Director of Data Science to lead an analytics squad focused on underwriting, pricing and decision support. You will drive end-to-end analytics delivery, adoption and value realization across Sun Life US group businesses.

The role emphasizes building a strong data science team, establishing best practices, and partnering with business, technology and governance teams to ensure reliable, explainable solutions with appropriate oversight.

Qualifications

• Broad programming, applications and data environments experience.
• Strong data science foundations and modeling expertise.
• Experience leading analytics solutions for underwriting or pricing.

Responsibilities

• Lead advanced analytics solution development for underwriting, pricing and related decisions.
• Shape a prioritized roadmap of high-value use cases aligned with business strategy.
• Translate problems into analytics product requirements and adoption plans.
• Partner with stakeholders to deliver scalable, secure and compliant solutions.
• Develop and mentor a data science team and drive adoption and value.

Skills

Python

SQL

Machine learning

AI

Data visualization

Education

BS/MS/PhD in statistical, mathematical, or technical field

Tools

Snowflake

Dataiku

Python

SQL

Job description

Sun Life Financial in the United States seeks a Director of Data Science to lead an analytics squad focused on underwriting, pricing and decision support. You will drive end-to-end analytics delivery, adoption and value realization across Sun Life US group businesses.

The role emphasizes building a strong data science team, establishing best practices, and partnering with business, technology and governance teams to ensure reliable, explainable solutions with appropriate oversight.