Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Director, Data Science role.

Rezi rewrites your resume against Sun Life's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Director, Data Science posting at Sun Life — free, in seconds.

About the Role

This role provides advanced analytics leadership for an analytics agile squad within the Business Analytics function. The Director is responsible for advancing how Sun Life US group businesses use machine learning and emerging AI capabilities to improve underwriting, pricing, and related business decision-making. The role will identify, prioritize, and deliver high-value opportunities across new business and renewal underwriting workflows where advanced analytics can improve risk assessment, efficiency, and business outcomes.

Responsibilities

Lead advanced analytics solution development for new business and renewal underwriting, pricing, and related decision processes across supported Sun Life US group businesses.
Shape and maintain a prioritized roadmap of high-value use cases aligned with business strategy, stakeholder needs, measurable outcomes, and emerging analytical opportunities.
Translate business problems into clear analytics product requirements, success measures, implementation plans, and adoption strategies.
Evaluate opportunities to improve multi-step business processes through improved information gathering, analysis, recommendations, and workflow coordination while maintaining appropriate human judgment and oversight.
Partner with Underwriting, Actuarial, Product, Distribution, Finance, Technology, and other stakeholders to deliver solutions that are workflow-ready, scalable, secure, and compliant.
Apply expertise in data science, machine learning, AI, validation, and quality controls to ensure solutions are accurate, reliable, explainable, and fit for business use.
Drive solution adoption by partnering with business leaders and SMEs on training, feedback capture, change management, and measurement of productivity, decision quality, and business value.
Manage and develop a team of data scientists, balancing team development, delivery priorities, and long-term capability building.
Monitor solution performance, user feedback, data quality, model behavior, and business outcomes to identify enhancements and ensure sustained value after deployment.
Communicate technical concepts, risks, recommendations, and business impact clearly to technical and non-technical audiences, including senior stakeholders.

Requirements

Demonstrated expertise with a broad range of programming languages, applications and data environments (e.g., Python, SQL, Snowflake, Dataiku)
Demonstrated expertise in data science including conditioning, modeling, integration, visualization, deployment support, and ongoing monitoring
Strong knowledge of the statistical, machine learning, and analytical foundations of data science.
Experience leading analytical solutions that combine structured and unstructured information and translate complex inputs into reliable, business-ready insights, recommendations, or decision support.
Experience applying analytics to underwriting, pricing, risk selection, portfolio management, or related insurance decisions.
Commitment to data compliance, model governance, responsible AI, information security, and appropriate handling of sensitive health and business information
Proven people leadership and team-development experience, with the ability to set direction, manage priorities, coach technical talent, and maintain high standards for delivery.
Strong business acumen and the ability to connect advanced analytics work to underwriting, pricing, growth, profitability, operational efficiency, and broader Sun Life US priorities.
Excellent communication and stakeholder management skills, with an ability to explain technical concepts, trade-offs, risks, and recommendations to a non-technical audience

Skills

Python
SQL
Snowflake
Dataiku
Data science
Machine learning
AI
Underwriting
Pricing
Risk selection
Portfolio management
Data compliance
Model governance
Responsible AI
Information security
Communication
Stakeholder management

Location

Nationwide

Work Type

Full-time

Experience Level

10+ years of experience developing, implementing, and scaling data science, machine learning, or related advanced analytics solutions.
8+ years of experience developing, implementing, and scaling data science, machine learning, or related advanced analytics solutions.
6+ years of experience developing, implementing, and scaling data science, machine learning, or related advanced analytics solutions.

Education Level

BS/MS/PhD in a statistical, mathematical, or technical field (e.g., computer science, data science)
MS/PhD, preferably in a statistical, mathematical, or technical field (e.g., computer science, data science)

Salary/Compensations

$153,000 - $229,500

Benefits

Generous vacation and sick time
Market-leading paid family, parental and adoption leave
Medical coverage
Company paid life and AD&D insurance
Disability programs
Partially paid sabbatical program
401(k) employer match
Stock purchase options
Employer-funded retirement account

About the Company

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need.
Sun Life offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation.
We have more than 6,400 employees and associates in our partner dental practices and operate nationwide.
At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives.
Our values shape how we work: caring, authentic, bold, inspiring, and impactful.
When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.
The company has a stated strategic focus on leveraging data and insights to enhance our Clients’ experience and drive business growth.
We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive.
We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate.
We encourage applications from qualified individuals from all backgrounds.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.