Director, Engineering Performance & AI Metrics

Résumé du poste

The Director defines and leads the organization's Agile and AI performance measurement practice, establishing standards, governance, and tooling to track delivery flow and quality. They translate complex performance data into executive-level insights to influence business outcomes and investment decisions.

Détails du poste

What you'll do 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 AI 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. #LI-AG2 We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters. About Us Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here. Our Commitment to Diversity, Inclusion and Belonging We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better. Accommodations We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

Ce que vous ferez

The Director defines and leads the organization's Agile and AI performance measurement practice, establishing standards, governance, and tooling to track delivery flow and quality. They translate complex performance data into executive-level insights to influence business outcomes and investment decisions.

Exigences

Candidates must have 10+ years of experience in agile delivery, performance measurement, or related transformation roles. Deep expertise in engineering productivity frameworks like DORA and SPACE, along with a strong understanding of GenAI and agentic AI, is required.

Avantages

• Store discounts • Triangle Learning Academy • Canadian Tire Profit Sharing • Retirement and savings programs • Flex benefits program • Mental health benefits

Compétences indiquées

• Power BI · Souhaitée
• Change Management · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Agile delivery
• Performance measurement
• AI metrics
• Engineering productivity
• DORA
• SPACE
• GenAI
• Automation
• Data governance
• Strategic visualization
• Power BI
• Atlassian
• Product operations
• Executive storytelling
• Change management
• Key Performance Indicators (KPIs)
• Management
• Governance
• Operations
• Tooling
• Influencing Skills
• Influencing Without Authority
• Prioritization
• Decision Making
• Innovation
• Investments
• Continuous Improvement Process
• Talent Development
• Risk Governance
• Generative Artificial Intelligence
• Financial Services
• Artificial Intelligence
• Data Quality
• Finance
• Business Valuation
• Equities
• Scalability
• Business Metrics
• Performance Metric
• Investment Decisions
• Delivery Performance
• Mental Health
• Merchandising
• AI Adoption
• Value Realization
• Disabilities
• Performance Measurement
• Agentic AI
• Financial Risk
• Performance Analytics

Domaines d’emploi

• Technology
• Management & Leadership
• Engineering
• Data & Analytics
• Software
• Performance Engineering Manager
• Chief Digital Transformation Officer
• Information and Communications Technology Service Managers
• Computer and Information Systems Managers