Director, Global Data Engineering

Circle K is a global leader in convenience retail and fuel, operating in 24 countries and serving millions of customers every day. We are advancing our digital and data transformation through modern cloud platforms, trusted data products, artificial intelligence, and analytics that enable faster decisions and create value across the enterprise.

Circle K is a global leader in convenience retail and fuel, operating in 24 countries and serving millions of customers every day. We are advancing our digital and data transformation through modern cloud platforms, trusted data products, artificial intelligence, and analytics that enable faster decisions and create value across the enterprise.

Circle K is seeking a transformational, people-focused, and execution-oriented Director, Global Data Engineering
. Reporting to the Head of Global Data Engineering, Architecture & Enablement, this leader will own the enterprise Data Engineering function and lead globally distributed teams responsible for delivering trusted, scalable, secure, and reusable data products. This role combines organizational leadership, engineering excellence, modernization, delivery execution, and talent development. The Director will translate enterprise strategy into measurable outcomes while partnering across Data Architecture, Platform Engineering, Analytics Engineering, Governance, Data & Analytics teams, Security, and business teams.

• Set the vision, operating model, priorities, and standards for the global Data Engineering organization, leading through Senior Managers, Managers, and Engineering Leads.
• Build a high-performing, product-oriented engineering culture grounded in accountability, ownership, quality, innovation, and continuous improvement.
• Deliver reusable enterprise data products spanning source integration, batch and streaming ingestion, transformation, harmonization, data quality, dimensional modeling, analytical data marts, metadata, lineage, and documentation.
• Ensure engineering solutions support reporting, self-service analytics, machine learning, generative AI, agents, automation, and secure enterprise data sharing.
• Establish engineering practices for Data Ops, Dev Ops, CI/CD, automated testing, infrastructure as code, observability, incident management, performance optimization, service levels, and operational support.
• Drive measurable improvements in delivery speed, predictability, quality, scalability, cost efficiency, and platform reliability.
• Partner with architecture, platform, analytics, governance, cybersecurity, product, and business leaders on solution design, technology decisions, investment priorities, and enterprise modernization.
• Recruit, coach, develop, and retain strong engineering talent; establish career paths, succession plans, and capabilities needed for future growth.
• Lead globally distributed teams through organizational and technology transformation while fostering inclusive, effective collaboration across a matrixed enterprise.
• Manage budgets, capacity, workforce plans, vendors, and strategic partners to align resources and investments with enterprise priorities and business value.
• Collaborate with Data Governance to embed ownership, certification, quality controls, metadata, lineage, privacy, and security into engineering practices so trusted data is understandable, discoverable, and usable.
• Simplify and modernize the enterprise data estate by retiring legacy patterns, improving interoperability across cloud platforms and consumption channels, and reducing unnecessary duplication and technical debt.

The Director will help integrate AI into both how data products are built and how the organization uses…