Data Product Owner

RBC; Toronto; On-site; CAD 85,000 - 120,000; Full time

Job summary

A leading financial services company in Toronto is seeking a Data Product Owner for the Operational Data team. You will drive the ownership of analytics and BI solutions, collaborating with business leaders and technical teams to optimize decision-making. The ideal candidate has strong experience in delivering data-driven insights and metrics, with exceptional communication skills. This role offers competitive compensation and a supportive team environment.

Benefits

Competitive Compensation

Professional and supportive team environment

Comprehensive training program

Career progression opportunities

Qualifications

• Proven hands-on experience delivering analytical and BI solutions.
• Ability to explain technical concepts to non-technical stakeholders.
• Experience in driving adoption of analytics and BI solutions.

Responsibilities

• Define and maintain the logic behind metrics and KPIs.
• Capture business requirements and guide build of data pipelines.
• Champion adoption and continuous improvement of solutions.

Skills

Interpreting analytics to derive insight

Knowledge of operational data

Delivering reporting and metrics

Building dashboards

Technical fluency

Professional communication skills

Defining metrics and KPIs

Prioritization and organizational skills

Tools

Big Data Management

Cloud Computing

Database Development

Data Mining

Data Warehousing

ETL Processing

Job description

Overview

Data Product Owner on the Operational Data, Information & AI (ODIA) team within Personal & Commercial Operations (PCO) drives ownership of analytical and BI solutions powering decision‑making across PCO. Solutions are anchored to a shared source of truth through the PCO Data Hub and surfaced via the PCO Reporting Hub, delivering trusted insights that connect executive reporting with operational execution. You will partner with business leaders, data engineering, BI, and data science teams to define metric logic, gather requirements, set priorities, and champion adoption to maximize impact.

What will you do?

• Define and maintain the logic behind metrics and KPIs, ensuring top‑down alignment — connecting executive reporting (e.g., QBRs) with reporting used across operations, and anchoring outputs to a shared source of truth.
• Own and evolve the roadmap for analytical and BI solutions, aligning with business priorities and partner needs.
• Capture business requirements and work with relevant squads to deliver solutions— converting needs into clear user stories and delivery specifications; guide the build of governed metric layers, curated data models, and production‑grade data pipelines.
• Champion adoption and continuous improvement, embedding solutions into business routines, measuring impact, and iterating based on feedback to maximize business value.
• Serve as a connector across business and technical stakeholders, fostering strong relationships, driving alignment, and resolving issues.
• Ensure trusted delivery by upholding governance standards, validating consistency of metrics, and aligning outputs to the enterprise data ecosystem.

What do you need to succeed?

Must‑have

• Experienced in interpreting analytics to derive insight and recommend solutions to senior management
• Deep knowledge of operational data, including workforce and productivity data
• Ability to deliver reporting and metrics in Personal & Commercial Operations, and connect subject matter expertise to technical delivery
• Proven hands‑on experience delivering analytical and BI solutions, including building dashboards, designing reporting logic, and developing or enhancing analytical/data pipelines
• Technical fluency and ability to collaborate effectively with data engineering, BI, and data science teams
• Professional oral and written communication skills, and ability to explain technical concepts to non‑technical stakeholders and support adoption across diverse groups
• Ability to define and maintain the logic behind metrics and KPIs, ensuring top‑down alignment across executive and operational reporting
• Strong prioritization and organizational skills to manage competing demands, deadlines, and stakeholder needs in a dynamic environment

Nice‑to‑have

• Experienced in driving adoption of analytics and BI solutions in an operations context
• Familiarity with RBC’s data ecosystem, governance practices, and enterprise standards

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.

• Competitive Compensation
• A professional and supportive team environment
• A comprehensive training program on internal processes and systems
• Career progression if you have what it takes to be the best

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

Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W: TORONTO

City: Toronto

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: PERSONAL & COMMERCIAL BANKING

Job Type: Regular

Pay Type: Salaried

Posted Date: 2025-09-25

Application Deadline: 2025-10-03

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 growth. RBC strives to deliver a workplace based on respect, belonging and opportunity for all.

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