The Senior Manager, Artificial Intelligence is a technical leader responsible for designing, developing, and implementing advanced AI and machine learning solutions to address strategic business challenges. This role is hands-on and project-focused, with direct accountability for delivering high-impact analytics initiatives from conception through to deployment and operationalization.

This is a highly visible role for a self-motivated problem solver who excels at working independently, communicates effectively with technical and non-technical audiences, and is passionate about shaping the future of AI in the life insurance industry.

Position Responsibilities:

• Partner with business stakeholders across underwriting, claims, distribution, customer experience, and actuarial functions to identify opportunities where data science and AI can drive measurable business impact.

• Translate business challenges into analytical problems, defining success metrics and solution approaches.

• Lead end-to-end delivery of analytics use cases from problem framing through deployment and integration.

• Serve as a bridge between business and technical teams ensuring solutions meet business needs.

• Deliver insights and recommendations in a clear, business-friendly manner.

• Drive adoption of analytics solutions by embedding them into workflows and decision processes.

• Quantify and communicate business impact including revenue growth, cost efficiency, claims reduction, and persistency improvement.

• Apply data science techniques to underwriting, claims, customer retention, distribution effectiveness, and personalization.

• Leverage Generative AI and LLMs to enhance business productivity.

• Ensure compliance with regulatory requirements, model governance, and responsible AI standards.

• Collaborate with actuarial, risk, compliance, and IT teams.

• Mentor junior team members and promote data-driven culture.

Required Qualifications:

• Bachelor’s or Master’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or Actuarial Science.

• 6–10 years of experience in data science, AI, or advanced analytics with strong business-facing exposure.

• Prior experience in life insurance or related financial services industries preferred.

• Solid understanding of the life insurance value chain.

• Proven ability to translate business needs into analytical solutions.

• Hands-on experience with machine learning and statistical modeling.

• Proficiency in Python, R, or similar tools.

• Experience working with large and complex datasets.

• Exposure to Generative AI / LLM use cases is highly valued.

• Strong business acumen linking analytics to financial outcomes.

• Experience in agile environments.

• Excellent communication and stakeholder management skills.

• Familiarity with insurance regulations and model governance is an advantage.

When you join our team:

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Hybrid