Data & Analytics Product Lead

Manulife•Waterloo, ON

1d•$90,160 - $167,440•Hybrid

About The Position

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. The role serves as business product owner for the data engineering squad and supports data modeling, analytics infrastructure, data source management, governance, and self-service BI and analytics enablement.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.

Benefits

Customizable health, dental, mental health, and vision benefits.
Short- and long-term disability insurance.
Life and AD&D insurance coverage.
Adoption and surrogacy benefits.
Wellness benefits and employee/family assistance plans.
Retirement savings plans, including pension and 401(k) plans.
Global share ownership plan with employer matching contributions.
Financial education and counseling resources.
Paid time off, including up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time each year in the U.S., or more where required by law.
Statutory leaves of absence.