Manager, Data Strategy
RBC is hiring a Manager, Data Strategy in Toronto, Canada. Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Snowflake, data strategy and data governance among its tools and skills.
- Level classes it as a senior role.
- RBC has 831 other open roles on Level.
- This posting went up in the last few days.
AI in this role
Manage data strategy and domain products to support enterprise AI-powered advisor-facing tools and analytics.
Job Description
What is the opportunity?
Manager Data Strategy manages all aspects of Data Strategy to enable Wealth Management Canada (WMC) with key data and insights to provide high quality, differentiated services for our clients that ultimately drive commercial outcomes for the business. The successful candidate will support the development and execution of a comprehensive data strategy aligned with WMC and RBC’s broader objectives including migration of raw source data from source of record applications, transformation of data to reusable, domain specific assets, and management of data products.
The successful candidate will be at the core of our broader enterprise-level AI and Digital Transformation (ADT) program to deliver AI-powered advisor-facing tools by leading data ingestion management, coordinating with business stakeholders and providing advice to data engineers.
What will you do?
- Support Sr Manager Data Strategy with managing strong relationships with key stakeholders across Wealth Management Canada and RBC, fostering collaboration and alignment to a shared vision. Engage closely with stakeholders to get feedback and deliver centralized and documented WMC data catalog with clearly defined business fields and logic.
- Collaborate with DMO to ensure data is protected, managed, governed, and aligned to Wealth Management Canada and Wealth Management Global Data Strategy and enterprise data best practices.
- Reducing data duplication and fragmentation by consolidating multiple sources into unified data domains.
- Help drive the design and maintenance of data domains and products that meet business needs for AI and operational use cases.
- Collaborate with Business System Analysts, Data Engineers, Data Architects to drive data mapping, data modeling, database design, while maintaining data fields and data products on Snowflake accurate, consistent and aligned to business expectations.
- Work with business stakeholders to create a consistent data dictionary, ensuring data quality and integrity across the organization.
- Provide senior leadership, direction and methodology for analysis, structure and storage of critical organizational data.
- Develop and maintain a deep understanding of business requirements and data needs, using this knowledge to inform data product development.
- Monitoring and aligning to major organizational transformation programs and projects to ensure important data needs are anticipated and met.
- Overseeing the integrity and maintenance of WMC data.
- Reviewing and aligning to policies and procedures for collecting and managing organization data by RBC’s Data Management Office (DMO).
What you need to succeed?
Must haves:
- 2+ years of experience with Snowflake
- 5+ years of data analysis and data modeling experience, including SQL knowledge and ability to translate operational system data into clear business data domains and data products
- Strong analytical and strategic thinking skills, with the ability to make data-driven decisions.
- Strong collaboration skills and demonstrated ability to work cross-functionally, driving alignment.
- Excellent verbal and written communication skills, with the ability to present complex data insights to non-technical stakeholders.
- Strong understanding of data governance, data quality, and data management lifecycle.
Nice-to-have:
- Previous work experience in the Banking industry preferably in Wealth Management is a plus
#LI-POST
Job Skills
Analytical Reports, Analytics Insights, Business, Communication, Critical Thinking, Data Science, Data Strategies, Enterprise Data, Exploration, Finance, Machine Learning (ML), Python (Programming Language), Snowflake (Platform), Statistics, Structured Query Language (SQL), Visualization TechniquesAdditional Job Details
Address:
RBC CENTRE, 155 WELLINGTON ST W:TORONTOCity:
TorontoCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
WEALTH MANAGEMENTJob Type:
RegularPay Type:
SalariedPosted Date:
2026-10-16Application Deadline:
2027-01-31Note: 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.
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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.
How we rate this
Manager, Data Strategy at RBC rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data strategy was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
- Walk me through how you've used Snowflake in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Strategy, Data Governance, Data Modeling, Stakeholder Management, and Snowflake. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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