Data Product Owner

What is the Opportunity?

The Operational Data, Information & AI (ODIA) team within Personal & Commercial Operations (PCO) is seeking a Data Product Owner to support and drive the delivery of data and AI solutions. You will act as the bridge, translating business needs into scalable data and AI solutions by partnering closely with business leaders, data engineering, BI, and data science teams. You will help define metric logic, gather requirements, set priorities, and champion adoption so that our partners derive maximum impact. You will also ensure data and AI products are designed, developed, and maintained effectively throughout their lifecycle.

What will you do?

• Engage with senior leadership and business teams to understand strategic priorities, operational inefficiencies, and opportunities
• Conduct discovery sessions, synthesize business needs, and collaborate on developing data-driven business cases that justify investment in data and AI initiatives
• Support stakeholders in quantifying business value and ROI, working with business leaders to define expected outcomes and success metrics for new solutions
• Assist in the development and maintenance of the data and AI product roadmap
• Help communicate planned initiatives, sequencing, and dependencies to stakeholders, ensuring clarity on business alignment and timelines
• Collaborate with business stakeholders to understand their needs and help translate them into clear product requirements
• Ensure data and AI solutions adhere to relevant regulatory and compliance requirements by partnering with governance teams to identify requirements early and build compliance into solution design
• Support adoption strategies and change management initiatives to drive user engagement with new data and AI solutions
• Coordinate with business teams to define adoption metrics, identify adoption barriers, and support communication and training efforts
• Conduct exploratory data analysis using SQL, Python, and PySpark to support discovery sessions, validate business hypotheses, and inform product decisions
• Provide data-driven insights to support stakeholder discussions and business case development

What do you need to succeed?

Must-have:

• Strong problem solving and analytical skills with the ability to break down complex business challenges into actionable insights and solutions
• Demonstrated ability to think strategically while translating operational challenges into data-driven solutions and understanding financial and operational impact
• Ability to connect tactical work to broader business objectives
• Proactive approach to discovery, learning, and continuous improvement while working on ambiguous problems and driving outcomes with limited guidance
• Hands-on experience working in agile environments (Scrum, Kanban, or hybrid) and familiarity with sprint planning, backlog refinement, and iterative delivery (Experience with complex, multi-team initiatives is a plus)
• Proficiency in SQL, Python, and PySpark for exploratory analysis, data validation, and insight generation
• Demonstrated ability to communicate clearly with senior leaders, present complex ideas accessibly, build credibility, and influence decisions through data-driven arguments
• Ability to collaborate effectively across business, technology, and executive teams
• Understanding of AI/ML fundamentals, use cases, and business applications
• Excellent communication, active listening, and stakeholder management skills with ability to translate between business and technical languages
• Strong interpersonal skills, work ethic and reliability

Nice-to-have:

• Experience in financial services, banking, or operations-heavy industries, providing insight into our core business
• Background in data science, analytics, or data engineering, which provides deeper technical credibility and ability to engage with technical teams
• Track record of identifying, scoping, and delivering high-impact data and AI initiatives in an enterprise environment
• Systems design thinking and understanding of how data solutions integrate into broader organizational systems

What's 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.

• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to take on progressively greater accountabilities

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Quality Management, Requirements Analysis, Software Product Management, Waterfall Model

Additional Job Details

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOTorontoCanada37.5Full timePERSONAL & COMMERCIAL BANKINGRegularSalaried2026-05-032026-05-16

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

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.