Senior Manager, Data & Analytics - Commercial Banking Operations at Royal Bank of Canada

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

18 Sep, 26

Salary

0.0

Posted On

20 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

People Leadership, SQL, Python, Tableau, Power BI, Teradata, Data Modeling, Data Strategy, Stakeholder Management, Agile Methodology, Big Data Analytics, Business Insights, Data Architecture, Data Governance, Reporting, Analytics Solution Design

Industry

Financial Services

Description

Job Description What is the role? As the Senior Manager, Data & Analytics, you will lead the vision, strategy, and execution of data capabilities across Commercial Banking Operations (CBO). You will act as a strategic partner to senior leadership, shaping and delivering a forward-looking data strategy that enhances decision-making, risk visibility, and operational performance. This role combines people leadership, deep technical expertise, and business acumen. You will build and lead a high-performing analytics team, drive the development of scalable data solutions, and translate complex data insights into clear, actionable narratives for executive stakeholders. You will champion a culture of data-driven decision-making and establish a strong, standardized data foundation across CBO. What will you do? Build, mentor, and lead a high-performing team of data and analytics professionals, fostering a culture of accountability, innovation, and continuous learning Own and execute the CBO data strategy aligned to business priorities and establish scalable data frameworks, governance, and “single source of truth” datasets Oversee the development of advanced analytics, reporting, and data products and identify opportunities where data can drive measurable business value Act as a trusted advisor to senior leaders and cross-functional partners, translate complex data into clear insights for senior leadership and enable proactive risk identification and performance optimization Guide the design and implementation of modern data solutions, automation and analytics tools, ensuring best practices in data architecture, data quality and lineage Leverage emerging technologies to enhance analytics capabilities and communicate complex analytical concepts in a simplified, business-friendly manner Collaborate across teams to align data initiatives with enterprise priorities and drive continuous improvement in reporting, analytics processes, and data accessibility Standardize metrics, definitions, and reporting across CBO and enable timely, informed decision-making through efficient data delivery What do you need? Must-have Proven experience in people leadership, with the ability to build and scale high-performing teams Deep technical expertise in data and analytics tools (e.g., SQL, Python, Tableau, Power BI, Teradata) Strong experience developing and executing data strategies in complex, multi-layered environments Advanced proficiency in data modeling, reporting, and analytics solution design Exceptional ability to translate complex data into clear, compelling business insights Strong communication and stakeholder management skills, with experience in engaging senior leadership Demonstrated ability to solve complex problems and drive strategic outcomes Nice-to-have Experience in Commercial Banking Operations or similar operational environments Experience with Agile delivery methodologies Understanding of Big Data Analytics 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 stocks where applicable. Leaders who support your development through coaching and managing opportunities. Ability to make a difference and lasting impact. Job Skills Agile Methodology, Big Data Analytics, Business Insights, Communication, Data Analytics, Data Insights, Data Strategies, Microsoft Power Business Intelligence (BI), Python (Programming Language), Tableau (Software), Teradata SQL 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: 2026-05-07 Application Deadline: 2026-07-03 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. 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.

Responsibilities

Lead the vision and execution of data capabilities for Commercial Banking Operations to enhance decision-making and risk visibility. Build and mentor a high-performing analytics team while delivering scalable data solutions and actionable insights for executive stakeholders.