Manager, Pension Data Quality at University Pension Plan | CA | Rezi

Manager, Pension Data Quality at University Pension Plan

Manager, Pension Data Quality

University Pension Plan · CA

2 weeks ago

Manager, Pension Data Quality

University Pension Plan · CA

18 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Manager, Pension Data Quality role.

Rezi rewrites your resume against University Pension Plan's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Manager, Pension Data Quality posting at University Pension Plan — free, in seconds.

About the Role

The Manager, Pension Data Quality is responsible for executing, overseeing, and continuously improving data quality practices within Pension Services, ensuring data accuracy, completeness, and usability for member administration, reporting, and regulatory processes.

Responsibilities

  • Oversees day-to-day data quality activities, including validation of employer-submitted data and internal data processing.
  • Monitors data quality metrics and trends, identifying issues, patterns, and root causes, and supporting remediation activities.
  • Leads the identification, prioritization, and resolution of data quality issues, ensuring discrepancies are tracked, analyzed, resolved, and monitored through to root cause remediation.
  • Owns the Pension Services data quality control framework, including validation rules, monitoring controls, exception management processes, quality standards, and supporting documentation.
  • Acts as a key Pension Services data steward, supporting the implementation of data ownership, data definitions, critical data element management, and enterprise data governance standards.
  • Maintains documented data quality controls, control evidence, exception logs, approvals, remediation records, and closure criteria.
  • Establishes and manages data issue governance practices, including severity assessment, root cause analysis, escalation pathways, remediation ownership, target dates, and closure criteria.
  • Oversees and continuously improves data validation, testing, and quality checks/controls across onboarding, cyclical processing, and ongoing pension administration activities.
  • Develops, monitors, and reports on data quality metrics, scorecards, trends, risks, and remediation activities.
  • Partners with Pension Services, Technology, and Data teams to embed data quality practices into processes, systems, and reporting.
  • Monitors the quality of employer and member source data, identifies systemic issues impacting pension administration, and partners with operational teams and employers to improve data quality at source.
  • Supports data mapping, validation, and testing activities related to data conversion and system enhancements.
  • Leads continuous improvement initiatives to strengthen data quality controls, reduce recurring defects, improve operational efficiency, and increase automation of validation and monitoring processes.
  • Supports audit, compliance, and risk activities related to data quality, including quality assurance reviews and documentation.
  • Leads, coaches, and develops a team responsible for data quality monitoring, defect management, validation, controls, root cause analysis, and issue resolution.
  • Accountable for achieving agreed-upon pension data quality targets and service levels.
  • Applies a risk-based approach to prioritize data quality issues based on potential impact to member outcomes, pension calculations, employer trust, operational efficiency, compliance, and reporting accuracy.

Requirements

  • Strong understanding of pension administration and data quality practices.
  • Experience operating in a detail-oriented, high-volume environment.
  • Bachelor’s degree or an equivalent combination of education and experience.
  • Strong experience in pension administration or data management.
  • Minimum of 8+ years of progressive experience in defined benefit pension administration, data quality, or a related operational role.
  • Strong understanding of pension data, including data flows, validation requirements, and the impact of data quality on member outcomes.
  • Experience working with data validation, data analysis, and reconciliation processes.
  • Demonstrated experience identifying and resolving data issues in a structured and consistent manner.
  • Strong analytical, problem-solving, and root cause analysis skills.
  • Experience working with pension administration systems and data tools.
  • Demonstrated leadership experience, including coaching and developing team members.
  • Strong verbal and written communication skills, with the ability to communicate data issues clearly to operational and technical stakeholders.
  • Ability to organize, prioritize, and manage multiple activities within established timelines.
  • Experience working within a data governance, data stewardship, or data control framework, including issue management, control documentation, and governance reporting.
  • Understanding of critical pension data elements, data lineage, data quality dimensions, and the impact of data defects on benefit administration, member outcomes, regulatory reporting, and operational risk.
  • Detail-oriented with a strong focus on accuracy and data integrity.
  • Strong analytical mindset with the ability to identify trends and root causes.
  • Proactive problem solver with a continuous improvement mindset.
  • Collaborative and able to work effectively across operational and technical teams.
  • Strong sense of ownership and accountability.
  • Clear and effective communicator.
  • Self-motivated, flexible, and adaptable to changing priorities and new challenges.
  • Excellent judgment and clear and precise communication skills; written, verbal, listening and presentation, including a high degree of diplomacy and confidentiality with the ability to adapt communication style to the audience.
  • Proven ability to develop and maintain effective working relationships.
  • Governance-minded, with the discipline to document decisions, controls, evidence, risks, and remediation outcomes.
  • Risk-aware and able to exercise sound judgment when prioritizing data issues that may affect members, employers, compliance, or operational delivery.

Skills

  • Pension Administration
  • Data Quality
  • Data Validation
  • Data Analysis
  • Reconciliation
  • Root Cause Analysis
  • Pension Administration Systems
  • Data Governance
  • Data Stewardship
  • Issue Management
  • Control Documentation
  • Governance Reporting
  • Leadership
  • Coaching
  • Team Development
  • Communication (Verbal and Written)
  • Prioritization
  • Risk Management

Location

  • Downtown Toronto
  • Remote
  • Hybrid

Work Type

  • Hybrid
  • Remote

Experience Level

  • 8+ years of progressive experience in defined benefit pension administration, data quality, or a related operational role

Education Level

  • Bachelor’s degree or an equivalent combination of education and experience
  • Certified Employee Benefits Specialist (CEBS) or Pension Plan Administration Certificate (PPAC) is considered an asset

Salary/Compensations

  • $85,600 to $110,600

Benefits

  • Defined benefit pension plan
  • Flexible hybrid work model
  • Paid time off – vacations, personal days and wellness days
  • Work remotely up to eight weeks/year
  • Comprehensive group benefits including medical, dental, vision, etc.
  • Extended paramedical and mental health service coverage
  • Health care and lifestyle spending accounts
  • Fertility treatments, paid parental leave, and gender affirmation coverage
  • Education Assistance program

About the Company

  • UPP is the first pension plan of its kind in Ontario’s university sector, proudly serving over 46,000 members across six universities and nineteen sector organizations.
  • Our purpose is to bring greater retirement peace of mind to the university sector by investing with integrity and serving members with care.
  • As a sector-wide plan designed for growth, our doors are open to all Ontario universities.
  • We’re a team of progressive thinkers and agile doers operating within a fast-paced culture of collaboration and respect.
  • We believe in bringing smart and capable people together to create, solve, and grow with a clear shared vision and values of integrity, inclusivity, ingenuity, and impact.
  • We’ve built and nurtured a culture that is intentionally welcoming and purposefully rooted in equity, diversity, inclusion, and reconciliation (EDI&R).
  • We believe diverse teams, perspectives, and lived experiences contribute to better decisions and a better workplace.
  • UPP celebrates its fifth anniversary and is recognized for its efforts: 2026 Greater Toronto’s Top 100 Employers, 2026 Canadian HR Award for Excellence in Diversity, Equity, Inclusion & Belonging.
  • Do work that matters. We are duty-bound to serve our members’ interests, and it’s a responsibility we don’t take lightly.
  • We’ve ingrained sustainability in our work from day one—to ensure our members have a resilient future to retire into, both today and for generations to come.
  • Stronger together. Collaboration is how UPP was born, and it’s how we work with each other and our partners day in, day out.
  • No one at UPP is just a number and every win is a shared win.
  • Grow every day. You’ll have the opportunity to work on unique, once-in-a-career projects that maximize your skill set and probably teach you some new ones—at any stage in your career.
  • Prioritize wellness. At UPP, wellness takes many forms. Ultimately, it’s about ensuring our people are cared for in the ways that matter to them.

Equal Opportunity

  • UPP enthusiastically welcomes applications from all qualified applicants and especially invites people with lived experience as an Indigenous person, a person with a disability or as a member of another Human Rights Code protected group that faces barriers to employment to apply.
  • Our goal is to create a barrier-free experience for every candidate throughout the recruitment process.