Technical Data Manager Careers at McDonald's - Chicago, IL | Apply Now!
McDonald's
Technical Data Manager Careers at McDonald's - Chicago, IL | Apply Now!
Job Description
Technical Data Manager Careers at McDonald's - Chicago, IL | Apply Now!
Join McDonald's Global Technology team as a Technical Data Manager and lead the data transformation powering Accelerating the Arches. This senior-level role is perfect for data experts ready to scale AI and analytics for 65M+ daily customers across 25,000+ restaurants worldwide. If you're passionate about data engineering, AI innovation, and global tech strategy, discover how you can drive McDonald's digital future.
Why McDonald's Global Technology?
McDonald's isn't just the world's leading omni-channel restaurant brand—it's a tech powerhouse. Our Accelerating the Arches strategy doubles down on Delivery, Digital, and Drive-Thru (the 3Ds), leveraging AI, robotics, and emerging technologies to deliver fast, easy experiences. From McDelivery to drive-thrus, our Global Technology team digitizes the Golden Arches, solving complex challenges with diverse talent from around the globe.
Explore our Global Technology Technical Blog to see how we're enabling this vision. As a Technical Data Manager, you'll compose, build, and scale modern data and AI capabilities, retiring fragmented solutions for unified, insightful platforms.
Role Overview: Lead Data Transformation at Scale
This hands-on leadership position demands deep technical expertise in uncertain, complex environments. You'll partner across data engineering, AI, and market teams to standardize platforms while accommodating local needs. Key to success: thriving in fast-paced settings with evolving data tools, AI features, and business demands.
Key Responsibilities in Detail
- Cross-Functional Partnership: Collaborate with data engineering and AI groups to deliver production-ready, performant solutions reusable across global markets.
- Insights & Analytics Support: Empower teams to build decision intelligence and advanced analytics for real-time business impact.
- Requirements Translation: Convert analytical/AI needs into precise technical specs and data assets for rapid market deployment.
- Platform Onboarding: Guide markets through technical migration to global data platforms and analytics patterns.
- Decommissioning Leadership: Identify and retire redundant local pipelines, warehouses, and reports to streamline operations.
- Standardization Balance: Harmonize global standards with market flexibility for optimal outcomes.
- Thought Leadership: Serve as liaison and advisor between EDAA, engineers, analysts, and AI specialists.
- AI Innovation: Drive AI adoption for enhanced data insights supporting 3Ds strategy.
- Performance Optimization: Ensure platforms handle massive scale for daily customer interactions.
- Innovation Collaboration: Contribute to robotics and emerging tech projects reshaping restaurant experiences.
- Reusable Assets: Develop scalable data solutions for omni-channel growth.
- Compliance & Scalability: Maintain standards in distributed, high-stakes environments.
Required Skills & Qualifications
To excel, bring 5-8+ years in data engineering/analytics/AI, a technical degree, and proven platform scaling experience. Mastery of cloud data stacks, ETL, Python/Spark, and agile leadership is essential. Thrive in ambiguity? This is your role.
Competitive Salary & Benefits
Earn $140K-$180K USD yearly, plus bonuses. Enjoy top-tier health coverage, 401(k) match, flexible work, global mobility, and McDonald's perks like meal discounts and wellness programs.
Career Growth in Tech at McDonald's
Advance in a company reshaping retail tech. From data manager to VP-level, your impact scales globally. Join diverse teams pushing boundaries in AI-driven hospitality.
Apply for Technical Data Manager at McDonald's Today
Ready to power tomorrow's feel-good moments? Apply now for this Chicago-based role with remote options. Be part of the tech revolution at McDonald's!
Word count: 1452
Locations
- Chicago, Illinois, USA
- New York, New York, USA (Remote)
- San Francisco, California, USA (Remote)
- Austin, Texas, USA
Salary
147,000 - 198,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Engineeringintermediate
- AI/ML Technologiesintermediate
- Cloud Platforms (AWS, Azure, GCP)intermediate
- SQL & NoSQL Databasesintermediate
- ETL Pipelinesintermediate
- Big Data Tools (Spark, Hadoop)intermediate
- Python/R Programmingintermediate
- Data Warehousingintermediate
- Analytics & Visualization (Tableau, Power BI)intermediate
- DevOps & CI/CDintermediate
- Agile Methodologiesintermediate
- Technical Leadershipintermediate
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field (or equivalent experience) (experience)
- 5–8+ years of experience in data engineering, analytics, or AI platforms (experience)
- Proven track record in building and scaling data platforms across distributed teams (experience)
- Deep expertise in cloud-based data solutions and AI integration (experience)
- Strong experience with production-ready data pipelines and ETL processes (experience)
- Hands-on proficiency in SQL, Python, Spark, and modern data stack tools (experience)
- Demonstrated ability to lead technical onboarding and decommissioning of legacy systems (experience)
- Excellent communication skills to act as liaison between engineering, AI, and business teams (experience)
- Experience thriving in fast-paced, ambiguous environments with global scale (experience)
- Familiarity with McDonald's Accelerating the Arches strategy or similar retail tech initiatives (experience)
Responsibilities
- Partner with data engineering and AI groups to ensure production-ready, performant, and reusable solutions across markets
- Support teams in building and applying insights, decision intelligence, and advanced analytics capabilities
- Translate analytical and AI requirements into clear technical specifications and data assets for market-ready solutions
- Lead technical onboarding of markets onto global data platforms and standardized analytics patterns
- Identify and drive decommissioning of duplicative local data pipelines, warehouses, and reporting solutions
- Balance global standardization with practical flexibility for market-specific business needs
- Act as technical thought partner to engineers, analytics practitioners, and AI teams as liaison between EDAA and market data teams
- Drive adoption of AI technologies to enhance data-driven decision making at scale
- Monitor and optimize data platform performance for 65M+ daily customer interactions
- Collaborate on innovative projects using robotics, AI, and emerging tech for omni-channel experiences
- Develop reusable data assets that support Delivery, Digital, and Drive-Thru (3Ds) strategies
- Ensure compliance and scalability in complex, distributed data environments
Benefits
- general: Competitive salary with performance bonuses and stock options
- general: Comprehensive health, dental, and vision insurance plans
- general: 401(k) retirement savings plan with generous company match
- general: Paid time off, including vacation, sick days, and parental leave
- general: Flexible work arrangements, including remote and hybrid options
- general: Professional development programs and tuition reimbursement
- general: Employee discounts on McDonald's meals worldwide
- general: Wellness programs with gym memberships and mental health support
- general: Global career mobility opportunities across 25,000+ locations
- general: Inclusive culture with diversity, equity, and inclusion initiatives
- general: Cutting-edge technology access to AI, robotics, and cloud platforms
- general: Team-building events and feel-good moments like free sundaes
Tags & Categories
Answer 10 quick questions to check your fit for Technical Data Manager Careers at McDonald's - Chicago, IL | Apply Now! @ McDonald's.
Related Books and Jobs
Technical Data Manager Careers at McDonald's - Chicago, IL | Apply Now!
McDonald's
Technical Data Manager Careers at McDonald's - Chicago, IL | Apply Now!
Job Description
Technical Data Manager Careers at McDonald's - Chicago, IL | Apply Now!
Join McDonald's Global Technology team as a Technical Data Manager and lead the data transformation powering Accelerating the Arches. This senior-level role is perfect for data experts ready to scale AI and analytics for 65M+ daily customers across 25,000+ restaurants worldwide. If you're passionate about data engineering, AI innovation, and global tech strategy, discover how you can drive McDonald's digital future.
Why McDonald's Global Technology?
McDonald's isn't just the world's leading omni-channel restaurant brand—it's a tech powerhouse. Our Accelerating the Arches strategy doubles down on Delivery, Digital, and Drive-Thru (the 3Ds), leveraging AI, robotics, and emerging technologies to deliver fast, easy experiences. From McDelivery to drive-thrus, our Global Technology team digitizes the Golden Arches, solving complex challenges with diverse talent from around the globe.
Explore our Global Technology Technical Blog to see how we're enabling this vision. As a Technical Data Manager, you'll compose, build, and scale modern data and AI capabilities, retiring fragmented solutions for unified, insightful platforms.
Role Overview: Lead Data Transformation at Scale
This hands-on leadership position demands deep technical expertise in uncertain, complex environments. You'll partner across data engineering, AI, and market teams to standardize platforms while accommodating local needs. Key to success: thriving in fast-paced settings with evolving data tools, AI features, and business demands.
Key Responsibilities in Detail
- Cross-Functional Partnership: Collaborate with data engineering and AI groups to deliver production-ready, performant solutions reusable across global markets.
- Insights & Analytics Support: Empower teams to build decision intelligence and advanced analytics for real-time business impact.
- Requirements Translation: Convert analytical/AI needs into precise technical specs and data assets for rapid market deployment.
- Platform Onboarding: Guide markets through technical migration to global data platforms and analytics patterns.
- Decommissioning Leadership: Identify and retire redundant local pipelines, warehouses, and reports to streamline operations.
- Standardization Balance: Harmonize global standards with market flexibility for optimal outcomes.
- Thought Leadership: Serve as liaison and advisor between EDAA, engineers, analysts, and AI specialists.
- AI Innovation: Drive AI adoption for enhanced data insights supporting 3Ds strategy.
- Performance Optimization: Ensure platforms handle massive scale for daily customer interactions.
- Innovation Collaboration: Contribute to robotics and emerging tech projects reshaping restaurant experiences.
- Reusable Assets: Develop scalable data solutions for omni-channel growth.
- Compliance & Scalability: Maintain standards in distributed, high-stakes environments.
Required Skills & Qualifications
To excel, bring 5-8+ years in data engineering/analytics/AI, a technical degree, and proven platform scaling experience. Mastery of cloud data stacks, ETL, Python/Spark, and agile leadership is essential. Thrive in ambiguity? This is your role.
Competitive Salary & Benefits
Earn $140K-$180K USD yearly, plus bonuses. Enjoy top-tier health coverage, 401(k) match, flexible work, global mobility, and McDonald's perks like meal discounts and wellness programs.
Career Growth in Tech at McDonald's
Advance in a company reshaping retail tech. From data manager to VP-level, your impact scales globally. Join diverse teams pushing boundaries in AI-driven hospitality.
Apply for Technical Data Manager at McDonald's Today
Ready to power tomorrow's feel-good moments? Apply now for this Chicago-based role with remote options. Be part of the tech revolution at McDonald's!
Word count: 1452
Locations
- Chicago, Illinois, USA
- New York, New York, USA (Remote)
- San Francisco, California, USA (Remote)
- Austin, Texas, USA
Salary
147,000 - 198,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Engineeringintermediate
- AI/ML Technologiesintermediate
- Cloud Platforms (AWS, Azure, GCP)intermediate
- SQL & NoSQL Databasesintermediate
- ETL Pipelinesintermediate
- Big Data Tools (Spark, Hadoop)intermediate
- Python/R Programmingintermediate
- Data Warehousingintermediate
- Analytics & Visualization (Tableau, Power BI)intermediate
- DevOps & CI/CDintermediate
- Agile Methodologiesintermediate
- Technical Leadershipintermediate
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field (or equivalent experience) (experience)
- 5–8+ years of experience in data engineering, analytics, or AI platforms (experience)
- Proven track record in building and scaling data platforms across distributed teams (experience)
- Deep expertise in cloud-based data solutions and AI integration (experience)
- Strong experience with production-ready data pipelines and ETL processes (experience)
- Hands-on proficiency in SQL, Python, Spark, and modern data stack tools (experience)
- Demonstrated ability to lead technical onboarding and decommissioning of legacy systems (experience)
- Excellent communication skills to act as liaison between engineering, AI, and business teams (experience)
- Experience thriving in fast-paced, ambiguous environments with global scale (experience)
- Familiarity with McDonald's Accelerating the Arches strategy or similar retail tech initiatives (experience)
Responsibilities
- Partner with data engineering and AI groups to ensure production-ready, performant, and reusable solutions across markets
- Support teams in building and applying insights, decision intelligence, and advanced analytics capabilities
- Translate analytical and AI requirements into clear technical specifications and data assets for market-ready solutions
- Lead technical onboarding of markets onto global data platforms and standardized analytics patterns
- Identify and drive decommissioning of duplicative local data pipelines, warehouses, and reporting solutions
- Balance global standardization with practical flexibility for market-specific business needs
- Act as technical thought partner to engineers, analytics practitioners, and AI teams as liaison between EDAA and market data teams
- Drive adoption of AI technologies to enhance data-driven decision making at scale
- Monitor and optimize data platform performance for 65M+ daily customer interactions
- Collaborate on innovative projects using robotics, AI, and emerging tech for omni-channel experiences
- Develop reusable data assets that support Delivery, Digital, and Drive-Thru (3Ds) strategies
- Ensure compliance and scalability in complex, distributed data environments
Benefits
- general: Competitive salary with performance bonuses and stock options
- general: Comprehensive health, dental, and vision insurance plans
- general: 401(k) retirement savings plan with generous company match
- general: Paid time off, including vacation, sick days, and parental leave
- general: Flexible work arrangements, including remote and hybrid options
- general: Professional development programs and tuition reimbursement
- general: Employee discounts on McDonald's meals worldwide
- general: Wellness programs with gym memberships and mental health support
- general: Global career mobility opportunities across 25,000+ locations
- general: Inclusive culture with diversity, equity, and inclusion initiatives
- general: Cutting-edge technology access to AI, robotics, and cloud platforms
- general: Team-building events and feel-good moments like free sundaes
Tags & Categories
Answer 10 quick questions to check your fit for Technical Data Manager Careers at McDonald's - Chicago, IL | Apply Now! @ McDonald's.
Related Books and Jobs