RBC
Director, Data Management
TORONTO, Ontario, Canada · Director · Full-time
Sponsorship not specifiedDetected 1 day ago
ExpressSnowflakeDatabricksAzureStakeholder ManagementAccountingLeadershipCommunicationCollaborationCritical ThinkingMentoring
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Job Description What is the opportunity?
- We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- Work in a dynamic, collaborative, progressive, and high-performing team.
Responsibilities
- You will drive the definition, governance, and delivery of diverse data products-ensuring 100% accuracy and 100% on-time delivery across all client consumption channels.
- This role carries executive accountability for data strategy, enterprise alignment, and building organizational capability.
- You will partner with senior business leaders to understand granular client needs and translate them into robust, scalable data products that drive business value and client satisfaction.
- 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.
- Leaders who support your development through coaching and managing opportunities Ability to make a difference and lasting impact.
Compensation
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
Benefits
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
- Flexible work/life balance options.
Company info
- As Investor Services and Wealth Management scale their data capabilities, we are seeking a strategic leader to establish data as a competitive advantage.
This listing is sourced directly from RBC's careers page and normalized into a canonical job model.