Data Quality Manager

The Data Quality Manger oversees the Data Engineering and Data Quality Analytics units within CDT ensuring high-quality trusted data assets that support FCC analytics testing and reporting. The role is governance- and oversight-focused providing technical leadership while empowering the DQ Analyst and Data Engineers in executing SQL Python profiling scripts and data quality processes.

This role establishes data quality standards coordinates cross-functional work monitors project delivery manages access requests and ensures clear consistent communication across DQ DE QA and Compliance teams. The DQ Lead drives operational excellence owns unit performance and ensures DQ initiatives are delivered on-time within scope and with clear documentation and traceability.

Position Responsibilities:

• Leadership & Unit Management

• Lead and manage two units: Data Engineering (DE) and Data Quality Analytics (DQA).

• Drive operating rhythm performance management coaching and capability uplift across both teams.

• Establish collaboration models and remove roadblocks to maintain delivery momentum. Data Quality Governance & Standards

• Set and enforce data quality standards documentation lineage and validation practices.

• Provide oversight for SQL/Python scripts profiling logic and data quality methodologies.

• Ensure repeatable audit-ready processes for profiling validation and quality checks. Project Oversight & Delivery

• Monitor end-to-end progress of DQ initiatives; maintain centralized tracking and reporting.

• Validate analytics reports and quality outputs before release.

• Facilitate regular standups syncs and stakeholder updates; escalate risks with solutions. Stakeholder Coordination & Communication

• Collaborate closely with Quality Assurance Data Engineering Data Quality Analyst and cross-functional FCC partners.

• Prepare and present project status insights risks and decisions to leadership. Technical Oversight

• Provide technical guidance on SQL Python profiling logic and best-practice data validation.

• Review complex scripts or logic when needed while remaining governance-focused rather than hands-on.

• Ensure alignment with Data Engineering on pipelines data readiness and issue remediation. Process Ownership & Continuous Improvement

• Maintain and improve the DQ operating model including process flows and documentation templates.

• Build and maintain centralized monitoring files/logs for traceability and governance.

• Technical Skills

• Strong SQL and Python leadership for reviewing and guiding DQ/DQ profiling scripts.

• Familiarity with Azure Data Lake Databricks and enterprise data ecosystems.

• Experience with data profiling tools lineage documentation and quality frameworks.

• Power BI or other visualization tools (good to have) Compliance & Financial Crimes Operations Knowledge

• Working knowledge of AML KYC Sanctions and general FCC datasets.

• Understanding of regulator-ready data practices documentation standards and audit expectations. Leadership & Professional Skills

• Proven ability to lead multidisciplinary teams

• Strong stakeholder communication expectation-setting and risk escalation.

• Strong organizational discipline documentation excellence and governance mindset.

Required Qualifications:

5 years of experience in data quality data analysis data engineering or data governance roles.

Experience leading teams or multi-unit functions.

Background in compliance risk or regulated data environments strongly preferred.

Demonstrated ability to design and enforce data quality standards at scale.

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.

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 .