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Principal Enterprise Architect

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: McDonald's Corporation
Full Time position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Company

Description:

McDonald’s growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3

Ds (Delivery, Digital and Drive Thru). McDonald’s will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway.

McDonald’s Global Technology is here to power tomorrow’s feel-good moments.

That’s why you’ll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time.

Using AI, robotics and emerging tech, we’re digitizing the Golden Arches. Combine that with our unparalleled global scale, and we’re reshaping all areas of the business, industry and every community that is home to a McDonald’s restaurant.

We face complex tech challenges every day. But that’s where our diverse and talented teams come in. They’re made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.

Check out the McDonald’s Global Technology Technical Blog to learn how technology and our global team are directly enabling the Accelerating the Arches strategy.

Department Overview

As a key member of the global enterprise architecture team that defines enterprise architecture strategy, north star capability and architecture blueprints, architecture standards, and drives holistic execution and realization of the architecture vision, the principal architect – enterprise data, analytics, and AI will be playing a critical role in providing the architecture thought leadership along with execution influence across our global technology and business organizations.

Duties
  • Establish complete enterprise-level technology vision, strategy, standards, and capability roadmaps that set coherent context and direction connecting key enterprise data, analytics and AI initiatives for consumer, restaurant and company platforms.
  • Design and develop enterprise data, analytics and AI target state architectures, standards, and specifications supporting current and future business needs.
  • Represent EA point of view in critical initiatives to advise and develop short and long-term products and platforms roadmaps.
  • Collaborate closely with data and solution architects to provide mentorship and gain alignment for design, implementation, and standardization.
  • Implement EA capability modeling framework and design principles to establish the to-be state architecture, capability domain boundaries, and strategy for evolution.
  • Define objectives and key results and critical metrics for EA data, analytics and AI foundations practice and drive measurable outcomes.
  • Lead highly critical initiatives and drive key technology decision and alignment at executive level.
  • Mentor other architects and play a key role in maturing the enterprise architecture practice.
Qualifications
  • Master’s degree in computer science, data Science, AI or related field.
  • Experience with data platforms and distributed data processing patterns & tools.
  • Deep understanding in the major areas of Machine Learning, Predictive & Generative AI.
  • Proven experience in architecting and deploying data, analytics, and AI solutions.
  • Expertise in the areas of model architecture, data engineering, data governance and ML engineering.
  • Experience in designing solutions for prediction, classification, clustering, anomaly detection, conversational agents, and information retrieval.
  • Strong understanding of various AI architecture patterns & techniques.
  • Experience with operationalizing machine learning systems using MLOPS
  • Strong expertise with cloud, on-premises, and hybrid deployment models.
  • Proven expertise of building AI, ML, Data Solutions using any of major cloud provider technologies.
  • Strong analytical and architectural modeling skills. Well-Versed in key architecture concepts and…
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