Senior Manager, Machine Learning Operations Product Owner
Top Benefits
About the role
What is the opportunity?
Join us in shaping the core data and model infrastructure that powers credit decisioning at RBC.
RBC Group Risk Management, Retail Credit Strategies and Modeling Infrastructure team, is hiring a Senior Manager, Machine Learning Operations 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.
Please note this is an in-office role with a minimum of 4 days in office per week.
What will you do?
- Implement and support models on the IBM Watson platform, working closely with IT for seamless integration.
- Build and maintain production-grade data workflows using Python, SQL, and PySpark, addressing data quality, automation, and scalability.
- Optimize code for credit risk models and strategies, troubleshoot and resolve production issues related with data pipelines.
- Guide IT implementation team, own and prioritize the product backlog for deploying risk and credit models and strategies.
- Make decisions on technical details around the ETL and preprocessing solutions, and deployment of models.
- 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.
- Develop monitoring, validation, and performance metrics to ensure accuracy, stability, and transparency in production systems.
- 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 or a related field.
- 5+ years of experience in financial services, preferably in risk management, credit analytics, or product ownership
- Hands-on experience with Python, Spark, SQL, and large-scale data management or ETL pipelines.
- Familiarity with cloud-based data platforms (e.g., Snowflake, BigQuery) and data visualization tools.
- Strategic thinker with the ability to balance technical depth and business context.
- Familiarity with GitHub, HDFS, Hive, Parquet, and modern data stack tools.
- Proven experience working across business, data science, and engineering teams to deliver data products or analytical solutions.
- Passion for automation, continuous improvement, and scalable data solutions.
- Exceptionally strong conceptual, analytical and problem-solving skills combined with strong written and verbal communication skills, especially in explanation of complex concepts to a non-technical audience
Nice-to-have:
- Experience building or maintaining data infrastructure and analytics frameworks within credit or financial services.
- 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.
- Knowledge on data access, data architecture and data storage techniques.
- Experience in automation and scheduling of data pipeline for end-to-end solutions
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.
- A comprehensive Total Rewards Program including bonuses and flexible benefits.
- Work on a dynamic topic of strategic importance.
- Ability to make a difference and lasting impact.
- Work in an agile, collaborative, progressive, and high-performing team
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.
Senior Manager, Machine Learning Operations Product Owner
Top Benefits
About the role
What is the opportunity?
Join us in shaping the core data and model infrastructure that powers credit decisioning at RBC.
RBC Group Risk Management, Retail Credit Strategies and Modeling Infrastructure team, is hiring a Senior Manager, Machine Learning Operations 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.
Please note this is an in-office role with a minimum of 4 days in office per week.
What will you do?
- Implement and support models on the IBM Watson platform, working closely with IT for seamless integration.
- Build and maintain production-grade data workflows using Python, SQL, and PySpark, addressing data quality, automation, and scalability.
- Optimize code for credit risk models and strategies, troubleshoot and resolve production issues related with data pipelines.
- Guide IT implementation team, own and prioritize the product backlog for deploying risk and credit models and strategies.
- Make decisions on technical details around the ETL and preprocessing solutions, and deployment of models.
- 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.
- Develop monitoring, validation, and performance metrics to ensure accuracy, stability, and transparency in production systems.
- 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 or a related field.
- 5+ years of experience in financial services, preferably in risk management, credit analytics, or product ownership
- Hands-on experience with Python, Spark, SQL, and large-scale data management or ETL pipelines.
- Familiarity with cloud-based data platforms (e.g., Snowflake, BigQuery) and data visualization tools.
- Strategic thinker with the ability to balance technical depth and business context.
- Familiarity with GitHub, HDFS, Hive, Parquet, and modern data stack tools.
- Proven experience working across business, data science, and engineering teams to deliver data products or analytical solutions.
- Passion for automation, continuous improvement, and scalable data solutions.
- Exceptionally strong conceptual, analytical and problem-solving skills combined with strong written and verbal communication skills, especially in explanation of complex concepts to a non-technical audience
Nice-to-have:
- Experience building or maintaining data infrastructure and analytics frameworks within credit or financial services.
- 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.
- Knowledge on data access, data architecture and data storage techniques.
- Experience in automation and scheduling of data pipeline for end-to-end solutions
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.
- A comprehensive Total Rewards Program including bonuses and flexible benefits.
- Work on a dynamic topic of strategic importance.
- Ability to make a difference and lasting impact.
- Work in an agile, collaborative, progressive, and high-performing team
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.