Analyst, Data Governance

Job summary

The analyst will lead the development and enforcement of data governance standards, policies, and AI governance frameworks to ensure regulatory compliance. They will also collaborate with cross-functional teams to improve data quality, manage metadata, and monitor governance metrics.

Job details

What You Will Do: Data Governance Leadership: Support the development, implementation, maintenance, monitoring, and enforcement of data governance standards, policies, procedures, and controls to ensure adherence to privacy, compliance, risk, regulatory, and legal requirements. This includes AI Governance to ensure ethical use and compliance with regulatory standards for AI-driven processes. Stakeholder Collaboration: Collaborate with leadership, IT departments, business units, Legal, Compliance, Privacy, Risk teams, data producers and consumers, and IT data platform teams to align on data governance goals and support the operationalization of a robust data governance framework. Promote data literacy by developing materials and conducting training on best practices. Policy Development: Assist in the creation and enforcement of data management policies to ensure compliance with regulatory requirements. Contribute to shaping the data governance accountabilities and operating model and enable data stewardship. Data Quality Assurance: Contribute to the enhancement and implementation of robust data quality frameworks and conduct regular audits to maintain high data standards. Support the development and evolution of data governance metrics and KPIs; monitor & measure the overall efficacy of the data governance program. Proactively monitor data, metadata, and reference data to ensure quality across the CTB data lifecycle. Implement and leverage data governance tools and platforms to enable capabilities; manage and maintain metadata and other data governance artifacts such as glossaries, classifications, and lineage. Risk Management: Identify potential risks related to data governance and develop mitigation strategies. Support data sharing and collaboration across teams and departments; ensure proper data access, usability, and monitoring of data sharing agreements. Project Oversight: Contribute to large-scale data governance projects from inception to completion. Stay updated on industry trends, standards, and regulatory requirements related to data governance; recommend appropriate modifications to existing policies and practices. What You Bring: Post-secondary education in Computer Science, Information Systems Management, or a related field. Proven experience with corporate data environments supporting cross-functional governance. Proficient in PL/SQL with 2+ years of experience and confident working in a structured data environment. Knowledge of business intelligence, modern data warehousing techniques, cloud solutions such as Azure or GCP. Experience with ETL/ELT processes and modern integration frameworks like API and event streaming. Experience in IBM Cloud Pak for Data and/or Databricks Unity Catalog. Advanced knowledge of Microsoft Visio, PowerPoint, and Excel. Expertise in creating/enforcing data governance policies to ensure data integrity, privacy, compliance, security. Ability to work with Legal, Privacy, Compliance, and Risk partners Hands-on experience with data analysis, quality assessment, metadata management. Excellent communication skills for presenting complex concepts to non-technical audiences. Strong organizational skills and attention to detail; ability to problem-solve and handle ambiguity. Effective stakeholder management; ability to build trusted relationships and influence decision-making. Experience in process design/improvement initiatives and leveraging automation. CDMP certification is an asset. We’re always looking for great talent! In addition to competitive pay, we offer: Comprehensive benefits and retirement programs Performance incentives, Continuing Education Programs Other perks to support your well-being Career growth opportunities and product discounts Broadband Salary Range: $53,000 – 88,000 Our typical hiring range is between $60,000 and $70,000. Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role. #LI-NZ2 We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters. About Us At Canadian Tire Services Limited/Canadian Tire Bank, it is our mandate to continue to create innovative and rewarding financial solutions for our customers. Our growing suite of products and services showcase the dynamic contributions from our employees and our success is driven by a strong vision, loyal customers, and our ability to build teams that reflect the diverse customers and communities in which we live and work. Join us, where there's a place for you here. Our Commitment to Diversity, Inclusion and Belonging We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better. . Accommodations We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

What you’ll do

The analyst will lead the development and enforcement of data governance standards, policies, and AI governance frameworks to ensure regulatory compliance. They will also collaborate with cross-functional teams to improve data quality, manage metadata, and monitor governance metrics.

Requirements

Candidates must have post-secondary education in Computer Science or a related field and proven experience in corporate data environments. Proficiency in PL/SQL, data warehousing, and modern integration frameworks is required, along with strong communication and stakeholder management skills.

Benefits

• Comprehensive benefits
• Retirement programs
• Performance incentives
• Continuing education programs
• Product discounts

Listed skills

• Microsoft Azure · Preferred
• Policy development · Preferred
• Data analysis · Preferred
• Google Cloud · Preferred
• Stakeholder Management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data governance
• PL/SQL
• Data quality assurance
• Metadata management
• Business intelligence
• Data warehousing
• Azure
• GCP
• ETL/ELT
• API
• Event streaming
• IBM Cloud Pak for Data
• Databricks Unity Catalog
• Data analysis
• Policy development
• Stakeholder management
• Influencing Skills
• Data Quality Assurance
• Quality Assessment
• Data Literacy
• Building Trust
• Policy Development
• Organizational Skills
• Compliance Risk
• Schema Markup
• Ethical Standards And Conduct
• Data Access
• Microsoft Excel
• Application Programming Interface (API)
• Data Analysis
• Auditing
• Automation
• Microsoft Azure
• Business Intelligence
• Broadband
• Management
• Decision Making
• Communication
• Regulatory Compliance
• Computer Science
• Information Systems
• Corporate Data Management
• Data Governance
• Data Integrity
• Extract Transform Load (ETL)
• Data Management
• Data Quality
• Data Sharing
• Data Warehousing
• Discounts And Allowances

Job areas

• Data & Analytics
• Technology
• Finance & Accounting
• Software
• Management & Leadership
• Data Governance Analyst
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

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