Engineering Lead, Digital Technologies

We are seeking an engineering expert and an execution-focused Delivery Lead to execute on our AI & Innovation efforts within the Digital Technologies group in Wealth & Asset Management Technology area. This role will be responsible for driving the delivery of high-impact AI use cases accelerating adoption of platforms like Copilot Studio Autonomous Agents ensuring intelligent automation across the enterprise.

You will lead a team to bring AI solutions from concept to production ensuring alignment with business goals regulatory requirements and enterprise architecture standards.

Oversees the various stages of product development and collaborates with the software development team for managing technical implementation of cross-squad programs across complex technical regulatory or other cross-cutting needs.

Key Responsibilities:

• Lead a team of engineers to build AI solutions and execute on use cases across business units such as Wealth Management Marketing Risk/Compliance and Technology/Operations

• Drive Copilot Studio enablement and adoption including governance training and integration with enterprise platforms.

• Collaborate with data science engineering product and business teams to translate strategic AI opportunities into scalable compliant solutions.

• Develop and manage delivery roadmaps sprint plans and resource strategies to support AI initiatives.

• Ensure solutions build effectively bring in delivery and productivity efficiencies across the enterprise.

• Ensure solutions meet financial services regulatory standards including data privacy model governance and auditability.

• Champion agile delivery practices DevOps and continuous improvement across the AI portfolio.

• Provide executive-level reporting on delivery progress risks and business impact.

• Stay ahead of emerging AI trends and technologies relevant to financial services and enterprise innovation.

• Be at the forefront of AI transformation in financial services.

• Lead strategic initiatives that drive innovation efficiency and customer value.

• Collaborate with top-tier talent in a dynamic purpose-driven environment.

Qualifications:

• 5 or more years of experience in technical delivery leadership position in enterprise production environment with at least 3 years in AI/ML or intelligent automation.

• Deep understanding of financial services operations regulatory landscape and risk management.

• Experience as a hands-on developer since this role would require rolling up the sleeves and contribute to the design and solution.

• Proven success in delivering AI solutions at scale including LLMs Copilot Studio Power Platform Azure AI or similar technologies.

• Strong experience with enterprise architecture cloud platforms and data integration.

• Exceptional leadership communication and stakeholder management skills.

• Bachelors degree in Computer Science Engineering or related field; Masters preferred.

When you join our team:

• Well empower you to learn and grow the career you want.

• Well recognize and support you in a flexible environment where well-being and inclusion are more than just words.

• As part of our global team well support you in shaping the future you want to see.

The role being advertised is an existing vacancy.

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 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 .

Referenced Salary Location

Salary range is expected to be between

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions geography and relevant job-related factors such as knowledge skills qualifications experience and education/training. If you are applying for this role outside of the primary location please contact for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits including health dental mental health vision short- and long-term disability life and AD&D insurance coverage adoption/surrogacy and wellness benefits and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays vacation personal and sick days and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S. please contact for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies such as artificial intelligence (AI) and automated processing tools to analyze and process the information you provide to us or third parties in the application process. For more information please refer to our personal information collection statement.