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About the Role
This role provides advanced analytics leadership for an analytics agile squad, focusing on leveraging data science, GenAI, and emerging AI capabilities to enhance business decision-making across Sales, Underwriting, and Health Capabilities. The Director will identify, prioritize, and deliver high-value opportunities where advanced analytics and AI can improve efficiency, increase consistency, surface actionable insights, and help business partners make better-informed decisions. The individual will build and develop a team of data scientists, foster innovation, establish analytical best practices, and ensure solutions deliver measurable business value while maintaining appropriate governance, quality, and trust.
Responsibilities
- Lead advanced analytics and GenAI-based solution development for initiatives that support Sales, Underwriting, and Health Capabilities business partners.
- Translate business problems into clear analytics product requirements, success measures, implementation plans, and adoption strategies.
- Develop and scale reusable GenAI capabilities that retrieve, synthesize, summarize, and structure complex RFP, case, claimant, census, and clinical information.
- Explore opportunities to apply Agentic AI to augment multi-step sales, underwriting, and clinical processes where it can improve information gathering, decision support, workflow efficiency, and consistency of business outcomes.
- Partner with Sales, Underwriting, Health Capabilities, technology, and governance stakeholders to deliver solutions that are workflow-ready, scalable, secure, and compliant.
- Apply expertise in data science, machine learning, GenAI, 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 fundamental statistical, machine learning, AI, and GenAI underpinnings of data science
- Experience leading GenAI or AI-enabled solutions that synthesize unstructured and structured information into business-ready outputs
- Experience evaluating emerging Agentic AI capabilities and identifying where human-in-the-loop automation can safely augment repeatable business processes and improve decision-making
- Commitment to data compliance, model governance, responsible AI, information security, and appropriate handling of sensitive health and business information
- Excellent business acumen to understand why and how the work will impact Sales, Underwriting, Health Capabilities, and broader Sun Life US stakeholders
- Excellent communication and stakeholder management skills, with an ability to explain technical concepts, trade-offs, risks, and recommendations to a non-technical audience
- BS/MS/PhD in a statistical, mathematical, or technical field (e.g., computer science, data science)
- 10+/8+/6+ years of experience in developing, implementing, and scaling data science, machine learning, AI, or GenAI-enabled solutions
Skills
- Data Science
- Machine Learning
- GenAI
- Python
- SQL
- Snowflake
- Dataiku
- Agentic AI
- AI Agents
- Workflow Orchestration
- Decision Support Automation
Location
- Nationwide
Work Type
- Full-time
Experience Level
- 10+ years
- 8+ years
- 6+ years
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.
- 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.
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.