Sr Director, Data Engineering - Restaurant Data & Analytics

Company

Description:

McDonald’s is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily.

We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald’s remains one of the world’s leading corporations after almost 70 years. Joining McDonald's means thinking big and preparing for a career that can have influence around the world.

At McDonald’s, we see every day as a chance to create positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From support of Ronald McDonald House to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet. We also offer a broad range of outstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements.

The Data & Analytics team enables data-driven decision making across the enterprise by delivering scalable data platforms, advanced analytics capabilities, AI/ML foundations, and trusted data products. We empower business and technology teams with modern data infrastructure, governance, and engineering practices to transform data into actionable insights and business value.

We are seeking a Senior Director, Restaurant Data Engineering
, to lead the vision, strategy, and execution of data engineering capabilities across the Restaurant domain. This leader will be responsible for building and scaling a high-performing engineering organization that develops reliable, secure, and scalable data platforms and products powering restaurant operations analytics, artificial intelligence, operational reporting, and data-driven decision-making across global restaurants and markets.

The Senior Director will oversee teams responsible for Restaurant Master Data Management (including Location Data Solutions LDS, restaurant profiles, and operational entity hierarchies), Restaurant Sales (including POS data integration, transaction pipelines, and top-line sales forecasting foundations), and Restaurant Telemetry (including drive-thru telemetry, kitchen and speed of service data, IoT equipment signals, and operational intelligence systems). This leader will establish the strategic direction for restaurant data engineering, drive modernization and strategic in sourcing initiatives, industrialize robust data pipelines, and establish semantic data layers that empower business self-service while enforcing stringent data quality, operational reliability, and governance standards.

This role partners closely with Global Operations, Restaurant Solutions, Enterprise Architecture, Platform Engineering, Data Science, Supply Chain, Cybersecurity, and global market technology leaders to ensure the organization can effectively leverage restaurant data as a strategic asset. This role combines deep technical expertise, organizational leadership, operational excellence, and executive-level stakeholder management to enable operational data transformation at global restaurant scale.

• Define and execute the data engineering strategy, roadmap, standards, and operating model for the Restaurant data domain in alignment with enterprise objectives.
• Establish long-term vision for restaurant data platforms, operational data products (e.g., Restaurant Master Data, sales data pipelines, restaurant operations & IoT telemetry), data architecture, and engineering capabilities to support evolving global operations, digital restaurant, and operational excellence needs.

• Lead and develop a large, geographically distributed team of data engineering leaders, managers, architects, and engineers while fostering a culture of innovation, accountability, inclusion, and continuous improvement.
• Drive strategic talent and in sourcing initiatives, building sustainable internal engineering capability and transitioning vendor/contractor capacity into high-performing internal engineering squads.

• Drive the design, implementation, and optimization of scalable data ecosystems that support restaurant operations analytics, machine learning, sales reporting, IoT telemetry…