Data & Analytics Product Lead

Reporting to the BI and Analytics lead, the Data & Analytics Product Lead helps shape and execute the analytical data strategy for the North America Affiliated Wealth business. This senior individual contributor establishes standards and coordinates business and technology partners to deliver reliable, scalable data capabilities.

Position Responsibilities

Data Modeling & Analytics Infrastructure

• Shape standards for governed semantic models, reusable data assets, structures, relationships, and performance
• Guide transformation logic and architecture to meet reporting and analytics needs
• Advance pipeline and ETL reliability, scalability, and maintainability

Data Product & Engineering Delivery

• Serve as business product owner for the data engineering squad, shaping requirements, priorities, and delivery plans
• Translate analytical needs into specifications, acceptance criteria, and test plans
• Coordinate solution design, validation, and releases with engineers and architects

Data Source Management & Governance

• Coordinate priority data sources across data owners, vendors, and subject matter experts
• Establish standards for data quality, reconciliation, lineage, metadata, issue management, and shared KPIs
• Ensure current documentation of source mappings, transformations, dependencies, controls, model definitions, and ownership

Self-Service BI & Analytics Enablement

• Set standards for certified datasets, workspaces, access, and governed self-service use
• Drive adoption through reusable tools, guidance, training, and support
• Assess automation, AI, and controlled end-user capabilities aligned with business priorities

Required Qualifications

• 3-5 years of experience in business intelligence, data management, data engineering, or a related field
• Proficiency in SQL, data transformation or pipeline tools, and relational, dimensional, or semantic modeling
• Ability to translate business priorities into clear technical requirements and practical delivery plans
• Demonstrated ability to influence stakeholders, facilitate decisions, and lead cross-functional work without formal authority
• Strong judgment, communication, documentation, and attention to detail, with the ability to manage competing priorities

Preferred Qualifications

• Experience in financial services, retirement, or investment management within a global or matrixed organization
• Experience with cloud data platforms and modern architectures such as Databricks, Azure, or lakehouse environments
• Familiarity with Python, Spark, APIs, automation, data governance, and agile or SAFe delivery

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.

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 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 [email protected].

Referenced Salary Location

Working Arrangement

Base 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 base 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 [email protected] for the salary range for your location.

Manulife/John Hancock 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/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

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.

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