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Rogers
Mgr, Credit Perf & GovRogers • Toronto, Ontario, Canada
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Mgr, Credit Perf & Gov

Mgr, Credit Perf & Gov

Rogers • Toronto, Ontario, Canada
30+ days ago
Job type
  • Full-time
  • Part-time
  • Permanent
Job description
Mgr, Credit Perf & Gov

Looking to join a growing financial services team? Rogers Bank, a subsidiary of Canada's leading wireless, cable and media company, is expanding and seeking passionate individuals to develop and implement innovative financial solutions and experiences. The bank offers unique cash-back benefits and financing options for Rogers purchases using cutting-edge technology. Interested? Take the next step and consider this opportunity to make a meaningful impact with Rogers Bank.

Who We Are Looking For:

The Manager, Governance, Controls & Data Engineering is a hands-on technical leader at the centre of the Credit Operations data and analytics ecosystem. This role is responsible for building, governing, and optimizing the data assets that power collections strategy, risk management, forecasting, reporting, and operational decision-making.

As the owner of Credit Operations' analytical data environment, you will design and maintain scalable data pipelines, curated datasets, and reusable data products within the Databricks Lakehouse platform. You will serve as the bridge between business stakeholders, Technology teams, Data Engineering, and Analytics, ensuring that data is accurate, governed, well-documented, and fit for purpose.

In addition to supporting governance and control initiatives, you will help define the future state of the Credit Operations data ecosystem by improving data reliability, enabling self-service analytics, and establishing scalable data architecture that supports growing business demands. You will partner closely with Credit Risk, Fraud, Collections, Finance, Bank, Technology, and Data Engineering teams to bring new analytical capabilities into production.

This role is ideal for a technically strong individual who enjoys solving complex data challenges, optimizing large-scale datasets, designing modern data models, and translating business requirements into scalable solutions.

Experience with Databricks Lakehouse architecture, Delta Sharing, Unity Catalog, and modern data-sharing frameworks supporting Telecom-Bank integration initiatives is considered a strong asset.

What You Will Do

Data Engineering & Analytics Platform Development
  • Design, build, and maintain scalable data pipelines and curated datasets within the Databricks Lakehouse platform.
  • Provide guidance on development and management of Bronze, Silver, and Gold layer data assets while ensuring adherence to data engineering, governance, and quality standards.
  • Create reusable data products and curated datasets that support reporting, predictive analytics, forecasting, collections strategy, and operational decision-making.
  • Optimize SQL and Databricks workloads for performance, scalability and maintainability.
  • Design and maintain robust data models that enable self-service analytics and reduce duplication of business logic across reporting solutions.
  • Guide the team on best practises in defining and documenting business rules, transformations, lineage, ownership, and metadata for critical analytical assets.
  • Partner with Technology and Data Engineering teams to onboard new data sources and enable secure data-sharing capabilities across Telecom and Bank environments.
  • Contribute to architectural discussions involving data integration, Delta Sharing, governance, access management, and Lakehouse design.

Governance, Controls & Risk Management
  • Support the development and maintenance of governance and control frameworks that ensure compliance with internal policies, regulatory requirements, and industry best practices.
  • Conduct ongoing/adhoc assessments of operational processes, data controls, and reporting environments to identify and mitigate risks.
  • Establish validation and monitoring processes to ensure data accuracy, completeness, and consistency across analytical platforms.

Analytics & Business Enablement
  • Utilize SQL, Python, Databricks, and visualization tools like Powebi to deliver data-driven insights and recommendations.
  • Partner with business stakeholders to understand analytical requirements and translate them into scalable, production-ready data solutions.
  • Support KPI development, performance monitoring, collections strategy evaluation, forecasting, and operational effectiveness measurement.
  • Identify opportunities to improve business processes through automation, analytics, and improved data accessibility.
  • Provide technical leadership and support for complex analytical initiatives and ad hoc business requests.

Collaboration & Continuous Improvement
  • Act as a trusted advisor to stakeholders across Collections, Credit Risk, Fraud, Finance, Technology, and Bank teams.
  • Lead efforts to improve data accessibility, documentation, discoverability, and governance practices.
  • Promote best practices related to data engineering, analytics, governance, and quality management.
  • Continuously evaluate emerging technologies and methodologies to enhance analytical capabilities across Credit Operations.

What You Will Bring

Core Technical Skills
  • Advanced proficiency in SQL, including complex query development, performance tuning, and optimization of large-scale analytical workloads.
  • Strong programming skills in Python for analytical processing, automation, and data engineering applications.
  • Hands-on experience using Databricks as a primary analytics and data engineering platform.
  • Experience designing, building, and supporting scalable data pipelines and data processing frameworks.
  • Strong understanding of Lakehouse architecture concepts including Bronze, Silver, and Gold layer design.
  • Experience working with Delta Lake, Unity Catalog, Delta Sharing, and modern data integration approaches is considered an asset.
  • Ability to collaborate effectively with Data Engineers, Architects, Technology teams, and business stakeholders on platform integration and data architecture decisions.

Data Modelling & Data Quality Mindset
  • Experience designing and maintaining curated analytical datasets and data products that are structured, governed, documented, and easy for analysts to consume.
  • Strong understanding of dimensional modelling, analytical data design, and data consumption patterns.
  • Experience managing data lineage, metadata, source-to-target mapping, and business logic documentation.
  • Strong focus on data quality, validation, reconciliation, monitoring, and controls.
  • Proven ability to create scalable, reusable datasets that support multiple reporting and analytical use cases.

Analytics & Business Acumen

  • Post-secondary degree or diploma in Statistics, Mathematics, Computer Science, Business, Engineering, or a related discipline.
  • Understanding of statistical concepts, analytical methodologies, and data-driven decision-making.
  • Experience developing or supporting predictive, forecasting, risk, or operational analytics solutions.
  • Excellent communication skills with experience in explaining technical concepts to both technical and non-technical audiences.

Preferred Qualifications
  • Experience supporting cross-functional data-sharing initiatives between multiple business units or technology platforms.
  • Exposure to cloud-native analytics environments within Azure, Databricks, or modern enterprise data platforms.

What's in it for you?

We believe in investing in our people and helping them reach their potential as valuable members of our team. As part of our team, you'll have access to a wide range of incredible resources, growth opportunities, discounts, and perks, including:
  • Competitive salary & annual bonus
  • Competitive & flexible health and dental benefits, pension plan, RRSP, TFSA, and Stock matching programs.
  • Discounts: Enjoy up to 50% off Rogers Services and Blue Jays Tickets, 25% off TSC items, and a 20% discount on all wireless accessories sold in Rogers stores.
  • Paid time off for volunteering
  • Company matching contributions to charities you support
  • Growth & Development Opportunities:
    • Self-driven career development programs (E.g. MyPath program)
    • Rogers First: priority in applying to internal roles of interest
  • Wellness Programs:
    • Homewood employee & family assistance program
    • Cognitive Behavioural Therapy (CBT) & Virtual therapy sessions
    • Low or no-cost fitness membership with access to virtual classes
  • Our commitment to the environment and diversity:
    • Work for an organization committed to environmental protection
    • Strong commitment to diversity and inclusion with employee resource groups supporting equity-deserving groups including groups representing People of Colour, 2SLGBTQIA+, Indigenous Peoples, Persons with Disabilities and Women. We all bring something different, and we know what makes us different makes us great.

If you are selected to move forward in the recruitment process, here is what you can expect:

15-minute phone screen with your recruiter, an interview with Hiring Manager, a final round virtual interview with Director of the team. Best of luck!

To protect our people, brand and assets, a pre-employment background check will be conducted. As part of our selection process, all candidates must clear a criminal background check. Additionally, a credit check and drivers abstract may be required depending on the role.

Schedule: Full time
Shift: Day
Length of Contract: Not Applicable (Regular Position)
Work Location: 1 Mount Pleasant (083), Toronto, ON
Travel Requirements: Up to 10%
Background Check(s) Required: Criminal Record and Credit Check
Posting Category/Function: Reporting and Analytics & Report Development
Requisition ID: 338763

To support career growth, collaboration, and high-performing teams, all Corporate Employees are expected to work onsite. We believe that in-person connection strengthens our culture and drives industry-leading performance.

At Rogers, we believe the key to a strong business, is a diverse workforce where equity and inclusion are core to making everyone feel like they belong. We do this by embracing our diversity, celebrating our different perspectives, and working towards creating environments that empower our people to bring their whole selves to work. Everyone who applies for a job will be considered. We recognize the business value in creating a workplace where each team member has the tools to reach their full potential by removing any barriers for equal participation. We work with our candidates who are experiencing a disability throughout the recruitment process to ensure that they have what they need to be at their best. Please reach out to our recruiters and hiring managers to begin a conversation about how we can ensure that you deliver your best work. You matter to us! For any questions, please visit the Recruitment Process FAQ .

Posting Notes: Rogers Bank

Location:
Toronto, ON, CA

Being a Rogers team member comes with some great perks & benefits including:
• Health & well-being benefits
• Donation matching
• Paid time off for volunteering
• Wealth Accumulation including: Pension plan & Employee stock options
• Generous employee discounts
• Leadership development, Mentorship, and Coaching programs

*available for full-time and part-time permanent employees, some restrictions apply

Looking for career guidance and inspiration?

Catch up on the latest episodes of For the Love of Work podcast with Dr. Sonia Kang.

Job Segment: Risk Management, Data Architect, Quality Manager, Bank, Banking, Finance, Data, Quality
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Mgr, Credit Perf & Gov • Toronto, Ontario, Canada

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