Senior Analyst, Data Management, Quality & Controls (Contract)

Role Summary

As the Senior Analyst, Data Management, Quality & Controls, you will support a forward‑looking, multi‑year Investment Platform Transformation Program designed to modernise the target operating model and strengthen end‑to‑end technology and data capabilities. This role reports to the Transformation Office Program with oversight from the Director, Data Operations and is important for building sustainable data quality controls, monitoring, reporting and operational processes that improve decision‑making across investment, operations and finance teams.

You Will Be Responsible For

• Support the design and implementation of a data quality framework, including rules, controls, thresholds, issue workflows and remediation processes aligned to the transformation program.
• Develop automated and repeatable data quality checks using Python and SQL to validate the completeness, accuracy, consistency and timeliness of critical reference data.
• Use Informatica to profile data, monitor quality metrics and support the implementation of data quality rules and exception‑handling processes.
• Build and maintain Power BI dashboards and reporting to provide visibility into data quality KPIs, trends, defects and remediation progress.
• Partner with Data Operations, Data Governance, Technology and business stakeholders to define critical data elements, business rules and data acceptance criteria.
• Support root cause analysis and resolution of data defects in collaboration with upstream and downstream stakeholders.
• Prepare process, control and operating documentation to support transition into business‑as‑usual operations.
• Support knowledge transfer and operational readiness activities to enable an effective handoff to the Functional Data Operations team.

Required Skills & Experience

• University degree in Computer Science, Information Technology, Engineering, Business, Accounting or a related field.
• 4+ years of experience in data quality, data management, analytics or a related discipline, including experience supporting transformation or operational improvement initiatives.
• Advanced proficiency in Python, SQL, Power BI and Informatica, with practical experience building automated checks, dashboards, data quality rules and exception‑handling processes.
• Strong experience with data profiling, validation, reconciliation, root cause analysis, dashboard development and data quality controls.
• Demonstrated ability to partner effectively across business, technology, data operations and data governance teams.
• Strong analytical, problem‑solving, prioritisation and communication skills, with a high degree of attention to detail.

Preferred Skills & Experience

• Experience with Azure DevOps, ServiceNow or similar workflow and issue management tools.
• Familiarity with investment platforms and data environments across IBOR and ABOR, such as Aladdin, CRD, Calypso or Eagle PACE.
• Experience preparing process, control and operating documentation to support business‑as‑usual transition.
• Curiosity, flexibility and adaptability in a dynamic investment and technology environment.

Compensation & Benefits

The expected salary range for this position is $72,000.00 - $108,000.00 per year, prorated based on the term of the contract. You may also be eligible to receive an annual Incentive Award pursuant to our Short‑term Incentive plan and our Long‑Term Incentive plan (if applicable), and to participate in our group benefits and retirement plans.

Equal Opportunity Employer

As one of Canada’s largest defined benefit pension plans, our people‑first culture is at its best when our workforce reflects the communities where we live and work — and the members we proudly serve. From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier‑free recruitment and selection process that extends all the way through your employee experience.

Artificial intelligence (AI) tools are used to support certain stages of the recruitment process. While AI assists us in our process, human judgment and decision‑making remain central to our candidate experience.