As a Manager, Data & Analytics, you will play a role in supporting the Third-Party Supplier Management data solutions and delivery. This is a unique opportunity to support the execution of key components of Digital Transformation, including: data analytics, automation, quality management, and operational efficiency. This role will drive strategic, timely, actionable and accurate insights to business partners and senior leaders in a Third-Party Supplier Management environment.

What will you do?

• Support the Third-Party Supplier Management office in Data analysis, Automation, and the creation of new data assets
• Utilize cutting edge business intelligence capabilities to optimize business results, define, measure, and deliver insights and mitigate risk.
• Contribute to the development of analytical models, dashboards and reporting tools that provide actionable insights for management.
• Contribute to the use of advanced AI analytics (e.g. predictive modeling, machine learning) in third party risk management
• Contribute to ad-hoc reporting capabilities to support data requests and business inquiries using advanced PowerPoint skills
• Support for key T&O Supplier Management data initiatives, including, but not limited to Contractor Workforce Optimization and Third-Party Supplier Risk Monitoring.
• Leverage various data sources (internal metrics, benchmarking data, Procurement, Risk, Finance, CWM, IT) to produce data visualizations that highlight actionable Third-Party insights in support of strategic business initiatives.
• Ensure data quality, integrity, and governance across all data sources and systems (i.e. Archer, IIPM, Service Now, iValua, Beeline).
• Partner with stakeholders across T&O to validate outcomes and ensure requirements are met.

• Test and validate (unit testing) new and existing reports and analytics for adherence to business and technical requirements
• Maintenance of the T&O SMO Data Dictionary and contribution to broader TPSS data team initiatives
• Develop and maintain reliable data pipelines to automate data ingestion, transformation, and delivery
• Write efficient, production-quality SQL and Python scripts for ETL/ELT processes
• Apply data modeling principles (e.g., star/snowflake schemas) to design and organize datasets for reporting and analysis
• Monitor and validate data quality, completeness, and lineage to ensure trustworthy insights

Must-have

• Strong technical skills, including experience with data warehousing, business intelligence tools (e.g. Tableau, Power BI), and programming languages (e.g. SQL, Python)
• Advanced Excel skills (i.e., Visual Basic Macros, pivot tables, formulas (ex. IF statements), etc.)
• Understanding of relational databases and tools (ex. Data Modeling, Microsoft SQL Server).
• Experience in AI deliverables (Ex. Product Owner/Development/Prompt Engineering)
• Development of analytical models, dashboards and reporting tools that provide actionable insights for risk and supplier management.
• Strong stakeholder management skills and ability to work in fast-paced environment.
• Analysis skills - being able to make meaningful conclusions looking at large volumes of data.
• Understanding business/functional requirements and willingness to take on a product owner role over your work.

Nice-to-have

• Vendor risk or relationship management
• UI and UX, CSS, html

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.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services
• Flexible work/life balance options
• Opportunities to do challenging work, take on progressively greater accountabilities, and build close relationships with clients

#LI-POST

Job Skills

Big Data Management, Business Performance Management, Critical Thinking, Dashboard Reporting, Data Analysis, Key Performance Indicators (KPI), Knowledge Organization, Microsoft SQL Server, Performance Management (PM), Python (Programming Language), VBA Macro

Additional Job Details

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOTORONTOCanada37.5Full timeTECHNOLOGY AND OPERATIONSRegularSalaried2025-07-152025-08-15

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.