Job Description

What is the opportunity?

Join us in shaping the core data and model infrastructure that powers credit decisioning at RBC.

RBC Infrastructure Strategy team, part of Retail Risk, Models & Portfolio Management, is looking for a technical Product Owner with deep data engineering skills to lead the deployment of next-generation retail credit risk models and strategies. In this role, you’ll sit at the crossroads of data science, engineering, and business strategy—translating complex model logic into scalable, production-ready systems.

You’ll design and optimize end-to-end data pipelines, collaborate with risk and technology teams to deploy models into production, and ensure every solution is accurate, compliant, and built for performance at scale.

If you thrive in bridging technical depth with business impact—this is your chance to make a tangible impact on the future of credit analytics.

What will you do?

• Own and prioritize the product backlog for deploying risk and credit models and strategies, ensuring alignment with business objectives, regulatory standards, and technical feasibility.
• Translate high-level business goals into clear technical requirements for data engineering and model implementation teams.
• Partner with risk modeling, credit strategy, and technology groups to design and build robust data pipelines—from ingestion and transformation to model deployment and monitoring.
• Lead Agile delivery: sprint planning, backlog refinement, demos, retrospectives, and cross-team coordination to ensure timely, high-quality releases.
• Build and maintain production-grade data workflows using Python, SQL, and PySpark, addressing data quality, automation, and scalability.
• Collaborate with governance, risk, and compliance teams to ensure all model, strategies and data standards are met throughout the deployment lifecycle.
• Implement and support models on the IBM Watson platform, working closely with IT for seamless integration.
• Develop monitoring, validation, and performance metrics to ensure accuracy, stability, and transparency in production systems.
• Communicate outcomes, technical updates, and insights in clear, actionable terms to both business and technical audiences.
• Identify and manage risks, dependencies, and bottlenecks to maintain delivery momentum and data reliability.

What do you need to succeed?

Must-have:

• Degree in Computer Science, Engineering, Mathematics, Statistics, Business or a related field.
• Hands-on experience with Python, SQL, and large-scale data management or ETL pipelines.
• Strong understanding of Agile delivery, product ownership, and stakeholder management.
• Proven experience working across business, data science, and engineering teams to deliver data products or analytical solutions.
• Excellent communication skills — able to translate technical concepts into business value and vice versa.
• Strategic thinker with the ability to balance technical depth and business context.
• Familiarity with GitHub, HDFS, Hive, Parquet, and modern data stack tools.
• Passion for automation, continuous improvement, and scalable data solutions.

Nice-to-have :

• Background in risk modeling, credit analytics, or financial product development.
• Experience deploying models on enterprise or cloud platforms (e.g., IBM Watson, Azure, GCP).
• Understanding of credit lifecycle, lending processes, and regulatory data standards.
• Experience leading cross-functional Agile teams or managing data-driven projects in a matrixed enterprise environment.

What’s in it for you?

You’ll be part of a team shaping the future of how RBC makes credit decisions, using some of the most advanced modeling and decisioning capabilities in the industry. Your work will directly influence how millions of clients are served — and you’ll get to see your ideas go live in production.

We thrive on the challenge to be our best, thinking progressively to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.