What is the opportunity?
RBC's DevOps team owns the data behind how our engineers work: the telemetry from every tool in the software development lifecycle, from source control and CI/CD through to the AI coding assistants developers now use every day. As Director, DevOps Insights, you'll lead the data engineering and data science team that turns this telemetry into answers senior and executive leadership act on. What is AI adoption costing us, what is it returning, where is developer productivity improving, and where is it stuck? You'll own the Tokenomics model that forecasts AI spend across engineering and the productivity measurement that shows whether the investment is paying off. This is a hands-on leadership role for someone who uses AI coding agents daily and wants to lead a team that does the same

Job Description
What is the opportunity?
RBC's DevOps team owns the data behind how our engineers work: the telemetry from every tool in the software development lifecycle, from source control and CI/CD through to the AI coding assistants developers now use every day. As Director, DevOps Insights, you'll lead the data engineering and data science team that turns this telemetry into answers senior and executive leadership act on. What is AI adoption costing us, what is it returning, where is developer productivity improving, and where is it stuck? You'll own the Tokenomics model that forecasts AI spend across engineering and the productivity measurement that shows whether the investment is paying off. This is a hands-on leadership role for someone who uses AI coding agents daily and wants to lead a team that does the same

What will you do?
Lead and grow the team

Manage, coach and develop a team of data engineers and data scientists, setting transparent goals and creating growth paths for each person

Build a team culture where AI agents are part of everyday engineering and analysis work, and where output quality is measured

Prioritize the team's work against the highest-value questions from leadership, Finance and engineering teams

Own the developer data platform

Set the roadmap for ingesting, modelling and serving telemetry from the tools developers use: source control, CI/CD, work tracking, IDEs, AI coding assistants and cloud platforms

Direct the engineering of pipelines on Snowflake, Airflow and Python, with the reliability and data quality standards a bank requires

Establish the metrics definitions (DORA, SPACE and RBC-specific measures) used across RBC





Deliver Tokenomics and productivity insights

Own the cost attribution and forecasting model for AI tooling usage across engineering, and report it to executive leadership and Finance

Produce the analysis that shapes AI usage policy and provides input to vendor negotiations

Quantify developer productivity and the benefits of AI adoption, and present findings that lead to decisions

Build self-serve reporting so teams and leaders can answer routine questions without the team in the loop

Apply AI to the work

Use AI coding agents and analytical tools in the team's own pipelines, analysis and reporting, and set the standard for how they're used

Evaluate model cost and quality trade-offs when applying LLMs to insights problems

Partner across the bank

Work with Finance on spend forecasting and budget planning for AI and developer tooling

Partner with platform owners and engineering leaders to close data gaps and validate findings

Present to senior and executive audiences with clear recommendations

What Do You Need To Succeed
Must Have

Minimum 10+ years in data engineering, data science or software development, with 3+ years in director-level or equivalent leadership roles

People management experience leading data engineers and/or data scientists, with a record of coaching and growing individuals

Daily hands-on use of AI coding agents in your own work, and the ability to discuss in detail how you use them, where they fail and how you check their output

Strong data engineering background: Python, SQL, Snowflake, Airflow and cloud data platforms

Experience turning operational telemetry into metrics and insights for senior audiences; familiarity with DORA, SPACE or comparable frameworks

Experience with cost analysis or forecasting of technology spend, presented to executives and finance partners

Ability to prioritize competing demands against a small team's capacity and to influence without direct authority

Nice to have

Shipped an LLM-based capability into production

Led AI adoption across an engineering or analytics team and measured its results





Experience shaping usage policy or contributing to vendor negotiations for developer or AI tooling

Data science depth: statistical analysis, experimentation and forecasting models

Experience working in a large regulated organization, such as a bank

What’s in it for you?

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

Flexible work/life balance options

Job Skills
Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Quality Management, Requirements Analysis, Software Product Management, Waterfall Model

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
2026-09-09

Application Deadline
2026-09-28

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.

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📌 Director, DevOps Insights (Ontario)
🏢 RBC
📍 Ontario