Senior Data Governance Analyst

Manulife•Waterloo, ON

1d•CA$113,000 - CA$163,000•Hybrid

About The Position

We’re looking for a Senior Data Governance Analyst to join our Canada Data Governance team. In this role, you will play a critical leadership role in advancing data governance practices across the Canada segment, ensuring data is trusted, high quality, compliant, and accessible as a strategic enterprise asset. You will work closely with Global Data Governance, Data Owners, Data Stewards, Technology teams, and business stakeholders to drive governance maturity and deliver measurable outcomes. This opportunity allows you to lead complex, enterprise-wide initiatives while operating independently and influencing across a global, matrixed organization.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Data/Analytics, or a related field (or equivalent practical experience)
5+ years of hands-on experience in data governance, including data catalog, data quality, and data access management in a large enterprise environment
Strong hands-on experience using Informatica tools, including Cloud Data Governance & Catalog (CDGC), Cloud Data Integration (CDI), and Cloud Data Quality (CDQ), as an advanced or power user
Advanced data analysis skills, including data lifecycle management, data profiling, and issue investigation
Strong SQL and querying capabilities
Experience with Databricks and Python, preferably in Azure-based enterprise data platforms and data lake environments
Experience in data visualization, reporting, and interpreting data insights
Proven ability to influence and collaborate effectively with business and technology stakeholders across a matrixed organization
Strong written and verbal communication skills, including experience presenting governance concepts and recommendations to leadership

Nice To Haves

Experience implementing and scaling enterprise data governance frameworks across multiple domains
Strong understanding of enterprise data architecture and governance within cloud-based ecosystems
Experience working with data governance automation, AI-enabled solutions, or advanced analytics capabilities
Familiarity with audit, compliance, and regulatory requirements related to data governance
Demonstrated ability to lead cross-functional initiatives and drive organizational change

Responsibilities

Lead and drive the execution and continuous improvement of the data governance program across the Canada segment, including operating model, policies, standards, KPIs, and governance processes
Oversee core governance capabilities, including data catalog and metadata management, data quality management, data access controls, Data Share Requests (DSR), and access audits and monitoring (e.g., DA Dashboard)
Own and lead business-as-usual (BAU) data governance activities, ensuring adherence to enterprise standards and timely resolution of data governance issues
Translate Global Data Governance strategies and KPIs into actionable plans for Canada; monitor performance, identify gaps, and implement improvements
Act as a trusted advisor to Data Owners, Data Stewards, Delegates, and business and technology stakeholders on governance best practices, policies, and tooling
Identify, prioritize, and lead process improvement initiatives, including automation and scaling opportunities using advanced tools and AI-enabled capabilities
Lead data quality initiatives by partnering with stakeholders to identify and prioritize issues, perform data profiling and root cause analysis, and implement sustainable solutions
Define, implement, and monitor data quality rules using Informatica Cloud Data Quality (CDQ) or other approved tools
Serve as a subject matter expert and advanced user of Informatica data governance and data quality platforms, including CDGC, CDI, and CDQ
Collaborate closely with Global Data Governance teams and the broader governance community to improve governance maturity and ensure alignment with enterprise standards
Maintain a strong working knowledge of Manulife’s data and application architecture to support effective data access decisions, Data Share Requests, and governance implications