Technical Data Manager
Company Description
Job Description
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 3Ds (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.
Role Overview
At McDonald's, we believe in pushing the boundaries of what's possible. We are seeking a Technical Data Manager to lead our transformation in data analysis and AI technologies. This outstanding role offers the chance to compose, build, and scale modern data and AI capabilities across diverse markets. By driving the adoption of global platforms and retiring fragmented, market-specific data solutions, you'll play a crucial role in our mission to deliver flawless, data-driven insights.
This hands-on leadership role fits someone with deep technical skills. They perform well in uncertain situations and succeed in complex, distributed settings. These settings involve constant changes in data platforms, AI features, and business demands.
Key Responsibilities
- Partner with data engineering departments and AI groups to ensure solutions are production-ready, performant, and reusable 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 the technical onboarding of markets onto global data platforms and analytics patterns
- Identify and drive the decommissioning of duplicative local data pipelines, warehouses, and reporting solutions
- Balance global standardization with practical flexibility for market-specific needs
- Act as a technical thought partner to engineers, analytics practitioners, and AI teams, serving as a liaison between EDAA and market data teams
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field (or equivalent experience)
- 5–8+ years of experience in data engineering, analytics engineering, advanced analytics, or AI-adjacent roles
- Demonstrated experience working with large, complex datasets, including hands-on use of SQL, relational data models, and business intelligence tools to analyze, model, and deliver insights at scale
- Working knowledge of:
- Big data architectures and pipelines (batch and/or streaming)
- Data transformation frameworks and analytics layers
- AI / ML concepts, feature engineering, and model consumption patterns
- APIs, semantic layers, or data access layers
- Proven ability to work in large-scale, enterprise data environments
- Strong analytical and critical thinking
- Ability to clearly communicate complex technical concepts to technical and non-technical audiences
Compensation
Bonus Eligible: YES
Long - Term Incentive: YES
Benefits Eligible: YES
Salary Range
The expected salary range for this role is $115,872.00 - $144,840.00 per year
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors.
Additional Information:
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald’s long-term incentive plan.
McDonald’s is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald’s provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact mcdhrbenefits@us.mcd.com. Reasonable accommodations will be determined on a case-by-case basis.
McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.