Director, Engineering Performance & AI Metrics

Canadian Tire Corporation; Toronto; On-site; CAD 180,000 - 240,000; Full time

Benefits offered by this job

Store discounts

Triangle Learning Academy

Profit sharing

Retirement plan

Mental health benefits

Job summary

Canadian Tire Corporation in Toronto seeks a Director, Engineering Performance & AI Metrics to define measurement practices for engineering and agile delivery at scale, with emphasis on GenAI integration and governance. Lead data-driven insights to influence investment, risk management, and transformation decisions across the organization.

You will partner with engineering, delivery, finance, and transformation teams to evolve the analytics platform, ensure data quality, and deliver

Qualifications

• 10+ years in agile delivery, delivery excellence, transformation, product operations or related roles.
• Ability to assess AI adoption and impact responsibly, including governance and risk considerations.
• Strong understanding of enterprise-scale agile metrics and executive storytelling.

Responsibilities

• Establish and lead the Agile & AI performance measurement practice with roadmaps and governance.
• Define enterprise measurement frameworks for agile delivery and AI-enabled work.
• Augment metrics with KPIs reflecting total system health including human-AI collaboration.
• Own the engineering performance analytics platform strategy, data quality, and tooling.
• Translate performance data into executive-ready stories linking trends to outcomes.
• Partner across engineering, delivery, finance, transformation, and leadership to drive decisions.
• Ensure metrics support learning, transparency and continuous improvement over activity tracking.

Skills

Agile delivery

Delivery excellence

Transformation

Product operations

Performance measurement

AI adoption assessment

SPACE and DORA frameworks

Executive storytelling

Tools

Power BI

Atlassian

Job description

The Director, Engineering Performance & AI Metrics defines how the organization measures engineering and agile delivery performance at scale, with a specific focus on how performance changes as AI becomes embedded in agile ways of working. This role is accountable for establishing an Agile & AI performance measurement practice, including the standards, tooling, governance, visualization and story-telling, team structure, and operating routines needed to measure delivery flow, predictability, quality, business value, and the impact of GenAI and automation.

Core Accountabilities

• Establish and lead the Agile & AI performance measurement practice, including its operating model, governance, standards, team capability, and roadmap.
• Define enterprise measurement frameworks for agile delivery and AI-enabled ways of working, covering flow, predictability, quality, value realization, team health, adoption, and productivity impact.
• Augment traditional agile performance metrics with new KPIs that reflect total system health in an agentic landscape, including human-AI collaboration, automation effectiveness, work orchestration, quality signals, risk, governance, and team sustainability.
• Own the Engineering performance analytics platform strategy and roadmap, including data quality, governance, tooling integration, investment recommendations, and scalable visibility across engineering and agile delivery.
• Translate performance data into executive-ready stories that connect trends, risks, systemic bottlenecks, investment decisions, delivery trade-offs, transformation progress, and improvement opportunities.
• Partner across engineering, delivery, finance, transformation, and agile leadership to connect performance insights to business outcomes and operating model decisions.
• Ensure metrics are used responsibly, with enough context to support learning, transparency, and continuous improvement rather than activity tracking or simplistic team comparisons.
• Build and lead a high-performing performance measurement and insights practice, including role design, talent development, delivery model, and capability roadmap.

What You Bring

• 10+ years of experience in agile delivery, delivery excellence, transformation, product operations, performance measurement, or related roles.
• Ability to assess AI adoption and impact responsibly, including metric limitations, false precision, quality, risk, governance, and team health.
• Strong understanding of agile operating models, scaled delivery practices, agile metrics, and executive performance story-telling to support decision-making.
• Deep expertise in engineering productivity and delivery performance frameworks such as SPACE and DORA, with demonstrated ability to adapt them to enterprise-scale Agile and AI-enabled delivery environments.
• Demonstrated ability to establish enterprise standards and frameworks, analysis structure and strategic visualization, and insight routines that drive practical improvement.
• Proven ability to translate complex engineering, delivery, and A I adoption signals into executive-level insights that influence prioritization, investment, risk management, and operating model decisions, using enterprise delivery and analytics platforms including Power BI, Atlassian, and other engineering tools.
• Strong practical understanding of GenAI, agentic AI, automation, and AI-enabled software delivery, including how these capabilities change work patterns, delivery flow, developer experience, quality, productivity, and value realization.

Benefits

Canadian Tire offers competitive salaries and wages, store discounts, supported learning through the Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. Enhanced flex benefits include $5,000 per year in mental health benefits for eligible employees and their families.

10+ years of experience in agile delivery, delivery excellence, transformation, product operations, or performance measurement. Deep expertise in SPACE and DORA frameworks. Strong understanding of GenAI, agentic AI, and automation. Proficiency with Power BI, Atlassian, and other engineering analytics platforms.