Data Science Manager, Advanced Analytics

Wellesley, MA, United States

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

At Sun Life, we look for optimistic people who want to make life brighter for ourClients.We understand the value of diverse cultures, perspectives, and identities, and want you to bring your full and authentic self to work.Every day,you’ll be empowered and challengedbyworking withdynamic colleaguesto find new and innovative ways to make Sun Life the best benefits company in America.

The opportunity: The Data Science Manager, Advanced Analytics will provide advanced analytics support within the Business Analytics function that applies the power of data with machine learning to improve business outcomes across the Health and Risk Solutions business. This team is expected to work closely with the other functional teams, in particular the Distribution, Client Management and Sales Enablement teams. This role will attract, hire, and lead a small team of data scientists in providing business insights and guiding them in which techniques to apply. This role will partner with the business to identify opportunities to enhance existing Distribution and Client Management processes and lead larger scale projects helping drive value from data science. This role will also mentor their team and ensure the analytical output is of the highest quality and validated. This position reports to the AVP, Business Analytics within the Health and Risk Solutions business.

Primary responsibilities include scoping, developing, implementing and monitoring advanced analytics projects to support our Distribution and Client Management teams, including supporting the successful implementation of any solutions. Additional responsibilities may include applying machine learning techniques to streamline and automate aspects of these processes or ad-hoc advanced analytics projects as assigned (potentially with other functional teams across Health and Risk Solutions).

How you will contribute:

Apply expertise in advanced analytics techniques to solve business problems and to review output from team members to ensure correct and high-quality analytics is being delivered to the business.

Lead a team to deliver using best practices within the data science lifecycle including design thinking, modelling, presentation and operationalizing the end product.

Manage and maximize resources balancing between development of team and delivering value to the business.

Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model.

Deliver effective presentations of findings and present to multiple levels of stakeholders, with a special focus on explaining technical details in non-technical terms.

Proactively partner with key subject matter experts across various functional teams within the Health and Risk Solutions business to identify, develop and implement predictive modeling and analytics from start to finish.

Develop and maintain high-quality, robust predictive models using advanced analytic techniques.

Support data-centric business practices related to risk assessment within the Health and Risk Solutions business, including adoption of deployed models

Evaluate the effectiveness and appropriateness of new technologies, such as Generative AI, in assigned use cases.

What you will bring with you :

Ability to work with a diverse range of people

Bachelor, Master’s or PhD degree in a statistical, mathematical, or technical field (e.g., computer science, actuarial science)

8+ years of experience in developing and implementing data science techniques is highly preferred

Experience in Health or Group insurance industry

Experience with sales and/or underwriting related concepts utilized in the health insurance field preferred.

Demonstrated expertise with a broad range of statistical programming languages, applications and data environments (e.g., R, Python, SQL, Tableau)

Demonstrated expertise in data science including conditioning, modeling, integration and visualization

Strong knowledge of the fundamental statistical and AI underpinnings of data science

Commitment to data compliance, model governance and security protocols

Excellent business acumen to understand why and how the work we do will impact our business stakeholders

Excellent communication skills, with an ability to explain technical concepts to a non-technical audience.

Do you see yourself in this role even if you haven’t checked all the boxes above? We welcome all talented candidates and are committed to a culture that represents diversity in all forms. If you think you might thrive in this setting, we would love to hear from you.

Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you!

Life is brighter when you work at Sun Life

Excellent benefits and wellness programs to support the three pillars of your well-being – mental, physical and financial – including generous vacation and sick time, market-leading paid family, parental and adoption leave, a partially-paid sabbatical program, medical plans, company paid life and AD&D insurance as well as disability programs and more

Retirement and Stock Purchase programs to help build and enhance your future financial security including a 401(k) plan with an employer-paid match as well as an employer-funded retirement account

A flexible work environment with a friendly, caring, collaborative and inclusive culture

Great Place to Work® Certified in Canada and the U.S.

Named as a “Top 10” employer by the Boston Globe's “Top Places to Work” two years running

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.

If you are a California resident, the salary range for this position is:

Southern region: $131,400-$197,100 annually

Central region: $138,600-$207,900 annually

Northern region: $148,100-$222,200 annually

If you are a Colorado resident , the salary range for this position is $125,400-$188,100 annually.

If you are a New York resident , the salary range for this position is $148,100-$222,200 annually.

If you are Washington resident , the salary range for this position is $138,600-$207,900 annually.

We consider various factors in determining actual pay including your skills, qualifications, and experience. In addition to salary, this position is eligible for incentive awards based on individual and business performance as well as a broad range of competitive benefits.

Sun Life Financial is a leading provider of group insurance benefits in the U.S., helping people protect what they love about their lives. More than just a name, Sun Life symbolizes our brand promise of making life brighter -for our customers, partners, and communities. Join our talented, diverse workforce and launch a rewarding career. Visit us at www.sunlife.com/us to learn more.

At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

Our Affirmative Action Program affirms our commitment to make reasonable accommodation to the known physical or mental limitation of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email [email protected] to request an accommodation.

At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

For applicants residing in California, please read our employee California Privacy Policy and Notice.

Job Category:

Advanced Analytics

Posting End Date:

28/12/2023

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.

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