Job DescriptionWhat 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 clear 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 succeedMust 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?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
- Flexible work/life balance options
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Job SkillsBig Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Quality Management, Requirements Analysis, Software Product Management, Waterfall Model
Additional Job DetailsAddress: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
