We are seeking a highly skilled Business Systems Analyst / QA (Data & Automation) with deep expertise in data analysis, QA automation, and the US retirement domain. This role is critical in driving data migration, validation, and AI-powered QA initiatives, supporting transitions such as Informatica to Databricks within a modern data platform ecosystem.
As part of the US Retirement Technology team, you will partner with Business Operations, Data Engineering, and QA teams to deliver transformation initiatives and improve system efficiency, data quality, and automation maturity.
- Lead end-to-end analysis from requirements gathering through delivery.
- Translate business needs into Epics, Features, and User Stories.
- Conduct stakeholder workshops and review sessions to validate and gain approval of requirements.
- Research, document, and analyze workflow processes and system issues.
- Identify improvement opportunities and drive process optimization initiatives.
- Perform data analysis, extraction, mapping, reconciliation, and validation to ensure data accuracy and integrity.
Drive data migration and transformation initiatives (e.g., Informatica- Databricks).
- Collaborate with Data Engineers and Data Wranglers to structure and optimize large datasets.
- Support data quality practices and data governance alignment.
- Support QA, UAT, and release cycles, including defect triage and tracking.
- Contribute to and enhance QA automation frameworks (e.g., Selenium, Cypress).
- Develop and execute test plans and validation strategies for system implementations.
- Leverage AI-driven QA techniques such as:
- Intelligent test generation
- Anomaly detection
- Automated validation
- Work cross-functionally with Data Engineering, QA, Business Stakeholders, and Operations teams.
- Coordinate process changes, system enhancements, and product implementations.
- Communicate progress, risks, and outcomes effectively to stakeholders.
- Build relationships across teams and influence decisions to drive successful delivery.
- 5–6+ years of experience as a Business Systems Analyst / Business Analyst / QA Analyst
- Strong expertise in:
- Data analysis, data migration, and data validation
- Large-scale data ecosystems
- Hands-on experience with:
- Informatica, Databricks, or similar data platforms
- Experience with QA automation tools/frameworks (Selenium, Cypress, etc.)
- Exposure to AI-driven QA or intelligent test automation
- Strong knowledge of US Retirement / Pension / Financial Products domain
- Proficiency in:
- Strong understanding of business analysis methodologies and tools
- Experience working with enterprise-level systems and applications
- Ability to analyze complex problems and develop creative solutions
- Strong stakeholder management and communication skills
- Experience working in Agile / Scrum environments
- Exposure to Cloud platforms (Azure/AWS)
- Knowledge of:
- Data governance and data quality frameworks
- Automation frameworks and modern testing practices
- Familiarity with organizational product offerings and service models
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
Toronto, Ontario
Hybrid
Salary range is expected to be between
$86,100.00 CAD - $136,100.00 CAD
Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual 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 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 and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact [email protected] for more information about U.S.-specific paid time off provisions.
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.
