What is the opportunity?

The Lead Technical Product Manager for Common Data Services is responsible for defining and driving the roadmap of reusable, scalable, and high-performing data and machine learning operations (MLOps) frameworks. This role involves collaborating with cross-functional teams, including data engineers, ML engineers, data scientists, and business stakeholders, to gather requirements, prioritize initiatives, and ensure the development of robust horizontal data and ML capabilities. Acting as a bridge between technical and business teams, the role requires balancing short-term deliverables with long-term innovation, managing resources effectively, and driving the adoption of best practices to support the organization’s data-driven objectives

What will you do?

• Define and drive the strategic vision and product roadmap for common data services and machine learning operations (MLOps) capabilities, ensuring alignment with our Data Strategy and organizational objectives.

• Act as the primary liaison between engineering, data science, analytics, and business teams to gather input and prioritize initiatives effectively.

• Manage and prioritize the product backlog, balancing short-term deliverables with long-term platform goals.

• Translate cross-project high-level business needs into detailed technical requirements, user stories, and acceptance criteria.

• Ensure timely delivery of new features and enhancements, coordinating with engineering teams and other projects stakeholders.

• Define and monitor services performance KPIs, identify roadmap potential risks, dependencies, and challenges, working proactively to mitigate them.

• Stay informed about industry trends and emerging technologies to introduce innovative solutions and improve platform capabilities.

What do you need to succeed?

Must have:

• 5+ years of experience in product management including backlog management, roadmap planning, requirements gathering, feature prioritization, and customer-centric mindset.

• Strong understanding of data engineering tools and technologies, such as cloud platforms (Databricks, Snowflakes, AWS, Azure, GCP), ETL processes, data pipelines, big data frameworks (e.g., Spark, Hadoop), and real-time processing tools (e.g., Kafka).

• Strong understanding of ML engineering and MLOps tools covering model deployment and experimentation, data management and feature stores, workflow orchestration, model monitoring and performance tracking.

• Proven ability to lead cross-functional teams, mentor team members, and influence stakeholders at all levels of the organization.

• Expertise in agile methodologies, sprint planning and execution, user story writing, and iteration management.

• Ability to navigate ambiguity, analyze complex data challenges, adjust priorities, and propose effective solutions in a fast-paced dynamic environment.

Nice to have:

• Experience with Spark, OpenShift, S3, Trino, Ranger and Hive.

• Experience with Collibra, Ataccama, and IBM Information Analyzer

• Experience with Cloud data platforms like Databricks and Snowflake.

• Experience with Jupyter notebooks, MLFlow, Weights & Biases (W&B),

What is in it for you?

We thrive on the challenge to be our best - progressive thinking 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, flexible benefits and competitive compensation

• Leaders who support your development through coaching and managing opportunities

• Opportunities to work with the best in the field

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team

#LI-post

#TECHPJ

Job Skills

Agile Methodology, Business Case Design, Business Oriented, Communication, Decision Making, Long Term Planning, Process Management, Software Product Management, Software Quality Assurance (SQA), Time Management

Additional Job Details

RBC CENTRE, 155 WELLINGTON ST W:TORONTOTorontoCanada37.5Full timeWEALTH MANAGEMENTRegularSalaried2025-08-282025-10-06

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.