Senior Project Manager, Data Delivery

ODAIA; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading data technology firm is seeking a Senior Project Manager for Data Delivery in Toronto. The ideal candidate will take complete ownership of planning and executing complex data warehouse technology programs. This dynamic position emphasizes leadership in Agile practices and ensures compliance with quality standards. A strong background in data engineering and collaborative technologies is essential. This role presents an excellent opportunity to make a significant impact on AI and data innovation in a forward-thinking team.

Benefits

Comprehensive rewards program

Flexible benefits

Competitive compensation

Stock options

Qualifications

• 10+ years of hands-on technical and Agile project management experience.
• Exceptional team player with strong collaboration and facilitation skills.
• Experience with data architecture and engineering decision-making.

Responsibilities

• Lead project governance structures and technology project delivery.
• Ensure compliance with security and scalability standards.
• Manage capacity and forecast to meet delivery demands.

Skills

Agile project management

Data engineering

SQL

Python

DevOps

Git/GitHub

Collaboration tools

Problem-solving

Education

Project Management Professional (PMP) certification

Certified Scrum Master certification

Tools

Jira

Confluence

GitHub Actions

Job description

Job Description

We’re seeking an experienced Senior Project Manager, Data Delivery to take the complete ownership for Planning and Execution of medium to high complexity Datawarehouse technology programs. This includes building technology project governance structures and delivery plans to enable fulfillment of articulated business goals. Role is instrumental in driving and tracking project activities, schedule, scope, and budget, as well as negotiating changes in plans and effective communication with all stakeholders. Success of technology project outcomes will be measured by the degree with which the initiative was delivered within timeline expectations, budget and scope. This is a unique opportunity to advance in the dynamic field of data engineering while collaborating with a passionate team dedicated to providing high-quality data to our business units and AI systems.

At RBC Borealis, you’ll join a forward-thinking team of highly skilled technologists that partner closely with leading Data and AI experts. Our environment leverages diverse data platform technologies (on‑premises and cloud), with the enterprise data warehouse serving as the critical source of truth for operational and analytical processes. As a pivotal leader, you’ll ensure our data warehouse remains robust, scalable, and strategically aligned with RBC’s goals, driving innovation in a space where data is fundamental to success.

Your responsibilities include:

• Technical Leadership and Accountability for Design, development and delivering Data and AI programs, from planning to successful production implementation in a highly complex environment.
• Uphold quality and compliance: Lead the team that builds technical solutions that meet RBC’s security, regulatory, and scalability standards throughout the delivery lifecycle.
• Provide amazing leadership in advanced Agile framework ensuring alignment with business goals, foster collaboration, and drive continuous improvement in fast‑paced environments. Utilize tools like GitHub Copilot, GitHub Actions, CI/CD and MCP AI capabilities to accelerate analysis, development, documentation, and hands‑on automation for streamlined delivery tracking and operational efficiency.
• Lead the required Scrum meetings to align initiatives with RBC’s strategic goals, ensuring project business requirements are delivered within agreed budget and time.
• Optimize delivery pipeline and resources: Manage capacity, and forecasting to meet demands, while developing metrics to track progress.
• Uphold quality and compliance: Take complete technical ownership of projects to ensure all Data and AI solutions meet RBC’s security, regulatory, and scalability standards throughout the delivery lifecycle.
• Own and track funding management for development resources. Document project metrics, statistics, reporting data, business values, etc. to share with executives.

You're our ideal candidate if you have:

• 10+ years of hands‑on technical as well as Agile project management experience.
• Strong hands‑on leadership to design, operationalise, and continuously improve Data and AI based applications while ensuring adherence to governance and seamless production implementation in a highly complex environment.
• Exceptional team player, collaboration, white‑boarding and facilitation skills with prior experience working with technologies like DevOps, SQL, Python, Git/GitHub (CI/CD pipeline), reporting dashboards, Snowflake, cloud technologies etc.
• Capability to guide data architecture/engineering decisions to maintain compliance, scalability, and resilience in on‑premises and cloud data warehouse solutions.
• Exceptional problem‑solving and stakeholder management skills with in‑depth knowledge of end‑to‑end data engineering processes, from design to production deployment.
• Strong experience with collaboration tools Jira and Confluence.
• Project Management Professional (PMI) and/or Certified Scrum Master certification.

What's in it for you?

• Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
• A comprehensive total rewards program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
• Leaders who support your development through coaching and managing opportunities;
• Ability to make a difference and lasting impact from a local‑to‑global scale.

About RBC Borealis

RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionise finance through world‑class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting‑edge research in areas such as time series forecasting, causal machine learning and responsible AI, we are seamlessly integrating AI research and data engineering to solve critical challenges in the financial industry. We are building intelligent, and scalable, data‑driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Inclusion and Equal Opportunity Employment

RBC is an equal‑opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal/Native American status or any other legally protected factors. Disability‑related accommodations during the application process are available upon request.

Job Skills

Agile Framework, Atlassian Confluence, Atlassian JIRA, CI/CD, Data Engineering, Data Warehouse, DevOps, Enterprise Data Warehousing (EDW), GitHub Actions, Python (Programming Language)

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: TECHNOLOGY AND OPERATIONS

Job Type: Regular

Pay Type: Salaried

Posted Date: 2026-02-12

Application Deadline: 2026-03-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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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.