Director, Global Data Engineering & AI Platforms

Circle K; Charlotte (NC); On-site; USD 180,000 - 250,000; Full time

Job summary

Circle K seeks a Director of Global Data Engineering to own and scale the enterprise data engineering function. You will lead globally distributed teams to deliver trusted data products, modernize data platforms, and enable analytics, AI, and secure data sharing across the enterprise.

You will shape the engineering operating model, drive data governance integration, and partner across data architecture, platform, analytics, and cybersecurity functions to unlock business value.

Qualifications

• Bachelor’s degree in CS/IS/Engineering/Math or related field; master’s preferred.
• 12+ years of progressive experience in data engineering, data platforms, analytics engineering, or related tech field.
• 5+ years leading managers and large, globally distributed engineering organizations.
• Demonstrated success building high-performing teams and delivering large-scale cloud data modernization or enterprise transformation programs.
• Strong experience with product-oriented delivery models, DataOps, DevOps, engineering governance, and reliable production support.
• Ability to connect business strategy, architecture, technology, talent, and execution, and communicate effectively with executives, engineers, and business partners.

Responsibilities

• 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 DataOps, DevOps, 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.

Skills

Data engineering leadership

Cloud data modernization

Executive communication

Product-oriented delivery

DataOps & DevOps

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or related field

Master’s degree preferred

Tools

Azure

Snowflake

Databricks

Job description

Circle K seeks a Director of Global Data Engineering to own and scale the enterprise data engineering function. You will lead globally distributed teams to deliver trusted data products, modernize data platforms, and enable analytics, AI, and secure data sharing across the enterprise.

You will shape the engineering operating model, drive data governance integration, and partner across data architecture, platform, analytics, and cybersecurity functions to unlock business value.