Director, Data Science & AI for Underwriting

Sun Life Financial; Massachusetts; On-site; USD 153,000 - 230,000; Full time

Benefits offered by this job

Generous vacation and sick time

Medical coverage

401(k) employer match

Stock purchase options

Sabbatical program

Job summary

Sun Life Financial is seeking a Director of Data Science to lead an analytics squad within the Business Analytics function in the US. You will advance ML and AI capabilities across underwriting, pricing, and related decision processes for Sun Life US group businesses.

You will build and develop a team of data scientists, establish best practices, and partner with business stakeholders, technology, and governance to ensure reliable, explainable solutions and measurable business value.

Qualifications

• : Experience with underwriting, pricing, risk assessment in insurance settings.
• : Leadership of analytics teams and governance.
• : Ability to translate business problems into analytics products and measurable outcomes.
• : Strong communication with technical and non-technical stakeholders.

Responsibilities

• : Lead advanced analytics solution development for underwriting and pricing processes.
• : Shape a prioritized analytics roadmap aligned with business strategy.
• : Translate problems into analytics product requirements and adoption plans.
• : Partner with stakeholders to deliver scalable, compliant, and explainable solutions.
• : Drive adoption through training, feedback, and measurement of impact.

Skills

Data science knowledge

Machine learning

Leadership

Effective communication

Education

BS/MS/PhD in statistical or technical field

Tools

Python

SQL

Snowflake

Dataiku

Job description

Sun Life Financial is seeking a Director of Data Science to lead an analytics squad within the Business Analytics function in the US. You will advance ML and AI capabilities across underwriting, pricing, and related decision processes for Sun Life US group businesses.

You will build and develop a team of data scientists, establish best practices, and partner with business stakeholders, technology, and governance to ensure reliable, explainable solutions and measurable business value.