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McDonald's

Runs and franchises fast-food restaurants

Sr Director - Data Engineering, Restaurant Data & Analytics

Engineering LeadershipPosted on Nov 11
Full-timeChicago, IL, USAIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field is required.
  • At least 15 years of progressive experience in data engineering, software engineering, data platform development, or related technology disciplines is required.
  • At least 8 years of experience leading large-scale engineering organizations, including direct leadership of managers and senior technical leaders, is required.
  • Demonstrated success developing and executing enterprise data strategies that support operational analytics, sales reporting, telemetry and Internet of Things data processing, artificial intelligence, and business transformation initiatives is required.
  • Deep expertise in modern data platforms, data architecture, master data management, high-throughput data integration, data warehousing, data lakes, and large-scale distributed data processing technologies is required.
  • Extensive experience with data modeling, extract-transform-load and extract-load-transform design, event streaming, data integration, and information management practices is required.
  • Strong knowledge of data governance, master data management, metadata management, data quality frameworks, and data integrity standards across distributed systems is required.
  • Strong understanding of cloud-based data ecosystems, including Google Cloud Platform, Amazon Web Services, Snowflake, and modern platform architectures, is required.
  • Executive communication, stakeholder management, and influencing skills are required.

Responsibilities

  • Define and execute the data engineering strategy, roadmap, standards, and operating model for the Restaurant data domain in alignment with enterprise objectives.
  • Establish the long-term vision for restaurant data platforms, operational data products, data architecture, and engineering capabilities supporting global operations, digital restaurants, and operational excellence.
  • Lead and develop a large, geographically distributed team of data engineering leaders, managers, architects, and engineers while fostering innovation, accountability, inclusion, and continuous improvement.
  • Drive strategic talent and insourcing initiatives, building sustainable internal engineering capability and transitioning vendor and contractor capacity into internal engineering squads.
  • Drive the design, implementation, and optimization of scalable data ecosystems supporting restaurant operations analytics, machine learning, sales reporting, Internet of Things telemetry processing, and self-service business intelligence.
  • Partner with Enterprise Architecture and Platform Engineering to define target-state restaurant data architecture and align scalable solutions with enterprise technology and cloud standards.
  • Oversee the development, industrialization, and lifecycle management of enterprise restaurant data products, including Restaurant Master Data, sales pipelines, speed-of-service data, and Internet of Things telemetry feeds, ensuring reliability, scalability, observability, security, and performance.
  • Deliver robust data pipelines and certified semantic gold data layers that enable business units and global markets to self-serve operational reporting and analytics.
  • Partner with senior business and technology leaders across Global Operations, Worldwide Restaurant Solutions, Supply Chain, and global markets to identify opportunities to leverage restaurant data and accelerate operational excellence.
  • Build collaboration across data science, analytics, product management, cybersecurity, infrastructure, and software engineering teams.
  • Lead investment planning, resource allocation, budgeting, vendor management, and technology evaluation to optimize organizational effectiveness and cost efficiency.
  • Optimize workforce strategy across internal full-time employees and strategic partners, balancing cost efficiency, engineering ownership, and delivery agility.

Desired Qualifications

  • An advanced degree is preferred.
  • Experience supporting restaurant, retail, or distributed operational analytics, point-of-sale data integration, sales forecasting platforms, or Internet of Things and telemetry data pipelines is preferred.
  • Experience establishing data observability, monitoring, reliability, and operational excellence programs is preferred.
  • Experience with strategic talent insourcing and transitioning contractor-heavy teams to sustainable internal engineering models is preferred.

About the Company

McDonald's

Runs and franchises fast-food restaurants

McDonald's runs and franchises quick-service restaurants for customers seeking burgers, chicken, fries, breakfast food and coffee. Its menu includes the Big Mac and Chicken McNuggets, while customers order at counters, drive-throughs, self-service kiosks and through its mobile app. Independent operators run most locations under agreements that license the brand and restaurant system. The corporation earns money from its own restaurant sales and from franchise royalties, rent and initial fees, with conventional franchise sites supported by property it owns or leases. The modern business dates to Ray Kroc's McDonald's System in 1955 and is headquartered in Chicago, Illinois.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1955

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