Are you looking for a supportive and collaborative workplace with great benefits and clear career development? You’ve come to the right place.

Why choose Manulife?

Competitive Salary packages and performance bonusesDay 1 HMO + FREE coverage for your dependents (inclusive of same-sex partners)Retirement savings benefitRewarding culture that values wellness and well-beingPerformance BonusGlobal network of industry expertsExtensive training resources

Job Description:

We’re looking for a ADVANCED ANALYTICS MANAGER (PEOPLE LEADER)  to join our Advanced Analytics and Insights team at MBPS. In this role, you are expected to lead a team of advanced analytics professionals, collaborate with business unit stakeholders to deliver value, provide technical expertise to the organization and managing internal capability building capability programs. 

Have the skills and knowledge for the job? Learn more about the opening below!

Key Responsibilities:

Plans, leads, organizes activities DARE Advanced Analytics team monitoring its progress towards quality delivery and growing the teamAs manager, regularly conducts meetings with the Advanced Analytics team, business unit stakeholders, co-managers in delivering value aligned with Manulife's strategic goals and objectives.Constantly seeks opportunities to grow the capabilities of the advanced analytics team exploring new projects with onshore business, partnering with internal learning and development and external sources.Coaches and mentors AA team members on their Individual Development Plan (IDP) and leads engagement activities.Collaborates with peers, leaders, onshore partners (BUs) in creating an engaging, challenging, and fulfilling work environment contributing to personal growth and good data cultureBe a strategic partner to MBPS Global Business Service and DARE team

Qualifications:

Education:  Advanced degree in Statistics, Math, Computer Science, or Engineering; or Bachelor’s degree with equivalent technical experience.  Familiarity and applied knowledge of GenAI/AI, reinforcement learning, an advantage.  Experience: At least 4-5 years of relevant experience.  Generally, a minimum of 5 years of applicable experience Advanced knowledge of programming languages and concepts (e.g. Python).  Expert in basic and advanced statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques (regression, cluster / factor / principle components, decision tree, survival analysis, etc.).  Advanced knowledge of different techniques and knowledge of machine learning algorithms. Basic knowledge of AI toolkits. Expert in data visualization tools such as PowerBI, Tableau, QlikView, open source data visualization libraries - ggplot and d3.js.  Advanced knowledge of common database querying languages such as SQL.  Capability of applying a systematic, structured approach to explore / navigate / mine massive amount of data, structured or un-structured, to uncover hidden patterns / insights. Strong working knowledge of relational database models (e.g. data vaulting techniques, rules tables).Hybrid Work Arrangement: Amenability and readiness to work onsite and from home anytime (dependent on business need AND/OR current external environment/situation)Shift Schedule: Amenability to work on the assigned schedule (dependent on business need)Minimum Skills to Hire/Must Haves:Data science and cloud analytics using AzureMachine learning using Azure MLProject management using Agile / JIRA / Confluence

Let's make every day better together. Learn about our opportunities at JOBS.MANULIFE.COM

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 recruitment@manulife.com.

Working Arrangement

Hybrid