Sun Life

Recruitment

• Translate Sun Life U.S. business priorities into TA strategies
• Partner with senior leaders, HR Business Partners, and stakeholders to shape talent strategies
• Lead the delivery of TA outcomes across direct and matrixed teams
• Deliver strategic TA initiatives that evolve tools, processes and ways of working
• Translate market insights into actionable sourcing strategies and mobility approaches
• Oversee TA governance, compliance, vendor management and operational service delivery
• Strengthen Sun Life’s employer brand and candidates experience

Director, Talent Acquisition

Director

• This role is responsible for the end-to-end design, governance, administration, and analytics of the firm’s annual incentive plans, equity-based compensation, and carried interest arrangements
• Lead the design and evolution of annual incentive plans, equity programs, and carried interest structures, ensuring alignment with firm strategy, performance objectives, and long-term value creation
• Develop and assess incentive frameworks, performance metrics, payout mechanics, vesting structures, and deferral features consistent with market practice and regulatory requirements
• Oversee the full lifecycle delivery of incentive, equity, deferral, and carried interest plans—from grant and communication through vesting, payout, forfeiture, and settlement
• Lead compensation planning, forecasting, modeling, and reporting across incentive and long-term programs
• Develop high-impact analytics, modeling, and scenario analysis to support senior management, compensation committees, and Board-level discussions

Managing Director – SLC Incentive Plans and Performance Analytics

Account Manager

• Provide high level support to the Sales Team
• Assist with the Account Management function of Membership On Boarding, Renewals
• Manage the sales pipeline
• Provide sales and prospecting support
• Develop email communications
• Develop proposals when needed with input from SVP or Sales Team
• Maintain relationships with Members through thoughtful communications
• Triage issues to Sr. VP and team

Sales Associate, Account Manager

Underwriter

• Lead and support a high-performing team responsible for underwriting and selling profitable Stop Loss business.
• Partner with Actuarial, Underwriting and Advanced Analytics leadership to design and execute strategies aligned with business goals.
• Build strong relationships with Sales and Distribution teams to support strategic growth and retention efforts.
• Hire, develop, and retain top underwriting talent; foster a culture of learning, performance, and accountability.
• Support in departmental and team projects.
• Serve as a technical expert and advisor on complex underwriting cases.
• Drive consistency and compliance in underwriting practices and procedures.
• Support broker meetings and client engagements to help deliver Sun Life’s value proposition.
• Continuously evaluate and improve underwriting approaches through training, quality reviews, and feedback loops.
• Champion a high-performance culture through clear goals, accountability, and recognition.

Associate Director, Underwriting

Events

• Work closely with the Event Producing and Strategy and Operations teams
• Gain valuable hands-on corporate event planning experience in a variety of projects
• Handle logistics, reporting, presentation preparation, vendor coordination, and sourcing
• Support activities for internal, employee, and client-facing events
• Collaborate closely with all teams within E&EX for seamless delivery of business partner events
• Assist with Cvent reporting, data, and analytics to measure the ROI of events

Student, Event Producing, People, Strategy & Enablement

Artificial Intelligence

• collaborate with cross-functional teams within Sun Life's IT function to understand IT process improvements using AI and translate them into effective solutions that can work at scale.
• implement and maintain robust pipelines for AI ready data, ensuring the integrity, security, and accessibility of data used for AI applications.
• working with Sun Life's Engineering Innovation and Architecture team, continuously research and evaluate emerging Generative AI and Agentic AI tools and techniques to identify opportunities for improvement and innovation.
• provide technical leadership and mentorship to junior team members, contributing to the growth and adoption of the AI capabilities within the firm.
• participate in the development of AI governance policies and best practices to ensure compliance with regulatory requirements and industry standards along with cost effectiveness.

Gen AI Development Specialist

• Collaborate with cross-functional teams within Sun Life's IT function to understand IT process improvements using AI and translate them into effective solutions that can work at scale.
• Implement and maintain robust pipelines for AI ready data, ensuring the integrity, security, and accessibility of data used for AI applications.
• Working with Sun Life's Engineering Innovation and Architecture team, continuously research and evaluate emerging Generative AI and Agentic AI tools and techniques to identify opportunities for improvement and innovation.
• Provide technical leadership and mentorship to junior team members, contributing to the growth and adoption of the AI capabilities within the firm.
• Participate in the development of AI governance policies and best practices to ensure compliance with regulatory requirements and industry standards along with cost effectiveness.
• Partnering with SunLife Enterprise teams, drive the needs of Sun Life by creating a collaborative development approach.

Specialist – Gen AI Development

Solutions Engineer

• Manage new issue benefit communications in designated territory
• Provide leadership and direction for all benefit communications fulfillment
• Collaborate with sales and marketing for presentations
• Advise on enrollment strategies and tools for clients
• Engage clients in discussions to determine effective enrollment methodologies
• Lead demonstrations for Sun Life's digital capabilities

Voluntary Solutions Manager

Data Scientist

• Provide advanced analytics expertise within the Business Analytics function
• Independently apply data science techniques to solve business problems
• Develop, validate, and maintain predictive models and AI solutions
• Utilize multiple sources of data and various machine learning techniques
• Write clean, modular, and well-documented code for production
• Interpret data and model outputs to generate actionable insights

Senior Data Scientist – Level I

• Manage new issue benefit communications as directed in their designated territory
• Provide leadership and direction for all benefit communications fulfillment in a defined market
• Collaborate with sales and marketing in support of finalist presentations
• Advise on all aspects of benefit communication and enrollment strategies for the Client
• Engage Sales Reps, Brokers and Clients in conversations to determine the most effective way to enroll, onboard and administer their employees

Analytics Engineer

• Design, develop, install, deploy, test, medium-scale analytics models and AI applications in support of business and client outcomes and objectives.
• Design and implement training pipelines for machine learning models.
• Build leading MLOps pipelines to deploy and update machine learning models and analytics applications.
• Build leading feature engineering pipelines extracting and preparing data for machine learning model performance.
• Train and evaluate models using diverse datasets and performance metrics, choosing and applying appropriate machine learning algorithms.
• Maintain and optimize model to improve accuracy and monitor reliability.
• Implement leading monitoring mechanisms to track model performance and identify issues.
• Detect and mitigate biases in machine learning models to promote fairness.
• Write leading specifications of machine learning models and processes for reproducibility and maintenance.
• Present insights and performance tuning recommendations from machine learning models to inform business decisions.
• Promote ethical principles and responsible AI guidelines for machine learning development.
• Integrate machine learning models into production environments.
• Develop and deploy APIs for model access and prediction requests.
• Leverage best practices and patterns in MLOps (machine learning operations) to ensure efficient and scalable model lifecycle management.
• Integrate leading AI service and machine learning models with existing applications and DevSecOps deployment pipelines.
• Embrace Agile development practices and employ SDLC processes on all development.
• Collaborate with data scientists practitioners, finance and business analysts, actuaries and engineers to achieve model objectives.
• Effectively mentor other engineers.
• Lead a "data-first" approach to problem solving and designing IT solutions.

Principal ML Analytics Engineer

Analyst

• Conduct quality reviews focusing on case management principles as well as overall case management excellence of assigned disability claims files;
• Record quality assurance results using audit tools
• Review new claim decisions and/or change of definition decisions to assure the quality of the decision as defined by our contract, philosophy and practices
• Meet service levels for quality, quantity and timeliness (individual and team)
• Provide feedback on evaluation along with suggestions of improvement
• Remain current on Group Life and Disability practices and processes
• Provide input on trends to support actionable recommendations for quality improvement
• Participate in calibration sessions to ensure consistency in the application of the measures and to ensure program objectives are met
• Provide subject matter expertise input into Disability process related inquiries
• Provide feedback on the assessment with strong supporting rationale, when there is a disagreement between Quality and Operation

Bilingual Quality Analyst – Disability Claims

Financial Planning and Analysis

• Lead digital enablement for the Finance function
• Define and execute Global Finance Data strategy
• Partner with Technology and Finance Executive Leadership
• Act as a thought leader for Finance in harnessing emerging technologies
• Oversee the portfolio of Global Finance optimization initiatives

VP, Finance Data – Digital Enablement

• Work with the AVP, Member Journey Owner to set an ambitious and clear vision/strategy that can be aligned with senior leaders, while also being articulated to the squads that will deliver the work
• Be accountable for creating and aligning on digital sales outcomes, along with other key objectives, that are measured and reported back to your leadership group on an ongoing basis
• Prioritize work for the squads responsible for delivery to ensure they are focusing on features that are the most critical to meeting OKRs set by leadership and yourself
• Maintain key partnerships with marketing, operations, product, and our sales team to support prioritization and alignment on key features & experiences
• Leverage surveys, competitive intelligence, and customer data on an ongoing basis to ensure we are continuing to focus on the most important features
• Look for opportunities to collaborate broadly across the organization to ensure scalability of key innovations & solutions (i.e. Financial Planning, Operations, etc…)
• Manage and provide guidance to a group of Product Owners to support them in delivering on their objectives. Remove roadblocks as required.
• Assist our Business Development partners in presenting on key solutions that will support Employers in administering their retirement plan.
• Own the end-to-end journey of a solution to ensure that the holistic impact to our internal and external partners is considered
• Work closely with business leaders to establish each product’s business value to support messaging, communication, and customer outreach as necessary.

Director – Member Journey Owner, Group Retirement Services

Full-stack Engineer

• Design, develop, support, and analyze large-scale applications and systems
• Break down and analyze application requirements into well-scoped work items
• Identify risks and raise them early to protect delivery timelines
• Write production-quality COBOL code with appropriate testing and documentation
• Collaborate with peers, senior engineers, and stakeholders to deliver solutions

Director, Talent Acquisition

Managing Director – SLC Incentive Plans and Performance Analytics

Sales Associate, Account Manager

Associate Director, Underwriting

Student, Event Producing, People, Strategy & Enablement

Gen AI Development Specialist

Specialist – Gen AI Development

Voluntary Solutions Manager

Senior Data Scientist – Level I

Voluntary Solutions Manager

Principal ML Analytics Engineer

Bilingual Quality Analyst – Disability Claims

VP, Finance Data – Digital Enablement

Director – Member Journey Owner, Group Retirement Services

Software Engineer – Mainframe