Data & Analytics Product Lead

Manulife

. Shape and execute the analytical data strategy for the North America Affiliated Wealth business .

Posted 11/12/2026full-timeBoston • Massachusetts • United StatesSenior💰 $90,160 - $167,440 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in shaping and executing analytical data strategies, establishing data governance standards, and translating business priorities into actionable technical requirements. Proficient in managing data quality, pipeline reliability, and fostering collaboration across cross-functional teams.

Highest-signal resume keywords

SQL ProficiencyData Transformation ToolsData GovernanceCloud Data PlatformsBusiness Intelligence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringRelational ModelingDimensional ModelingSemantic ModelingETL ProcessesAutomationData Quality ManagementDocumentationAcceptance Criteria DevelopmentTest Plans

Soft Skills

Stakeholder InfluenceDecision FacilitationAttention to DetailCommunicationPrioritization

Tools & Technologies

DatabricksAzurePythonSparkAPIs

Industry Keywords

Financial ServicesRetirementInvestment ManagementData GovernanceAgile DeliverySAFe Delivery

Tech Stack

Tools & technologies

AzureCloudETLPythonSparkSQL

About the role

Key responsibilities & impact

Shape and execute the analytical data strategy for the North America Affiliated Wealth business
Establish standards for governed semantic models, reusable data assets, structures, relationships, and performance
Guide transformation logic and architecture for reporting and analytics needs
Advance pipeline and ETL reliability, scalability, and maintainability
Serve as business product owner for the data engineering squad
Shape 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
Maintain 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

Requirements

What you’ll need

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

Benefits

Comp & perks

Flexible environment supporting well-being and inclusion
Health, dental, mental health, and vision coverage
Short- and long-term disability insurance
Life and AD&D insurance coverage
Adoption/surrogacy benefits
Wellness benefits
Employee/family assistance plans
Retirement savings plans, including pension/401(k) savings plans
Global share ownership plan with employer matching contributions
Financial education and counseling resources
Up to 11 paid holidays annually in the U.S.
3 personal days annually in the U.S.
150 hours of vacation annually in the U.S.
40 hours of sick time annually in the U.S., or more where required by law
Statutory leaves of absence
Incentive programs and incentive compensation tied to business and individual performance
Reasonable accommodation during the application process