Manager, Technology Testing
Listed on 2026-08-28
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IT/Tech
IT QA Tester / Automation, Data Engineering
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 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 Blogto learn how technology and our global team are directly enabling the Accelerating the Arches strategy.
Department OverviewWe are seeking an experienced Integrated Test Lead to drive quality engineering and test automation across McDonald's Customer Data Platform (mCDP) ecosystem. This role serves as the testing authority for mCDP, including our CDP platform, custom data pipeline components, audience management, customer profiles, activation services, consent management, and downstream Mar Tech integrations. The ideal candidate combines deep expertise in test automation, data engineering validation, and customer data platforms with the ability to develop comprehensive testing strategies across complex distributed systems.
This individual will lead quality efforts across real-time and batch data pipelines, audience generation frameworks, activation feeds, customer data products, and platform integrations while ensuring scalability, reliability, privacy compliance, and data accuracy throughout the mCDP ecosystem. This role requires strong technical leadership, hands-on automation expertise, and the ability to establish testing standards that ensure high-confidence releases across all mCDP products and services.
- Quality Engineering Strategy & Leadership
Define and drive the end-to-end testing and quality engineering strategy for the mCDP ecosystem, including mParticle, custom services/data pipelines, customer profiles, audience management, activation services, and downstream integrations.
Establish testing standards, governance, release readiness criteria, and automation-first quality practices across product and engineering teams.
Partner with Product, Engineering, Architecture, Mar Tech, and Data Governance teams to ensure quality is embedded throughout the software development lifecycle.m - Particle & Audience Validation
Lead testing efforts for mParticle implementations, including Data Plans, event schemas, customer identities, profiles, attributes, audience segmentation, and activation workflows.
Design and implement automated validation frameworks to ensure audience accuracy, customer profile integrity, consent compliance, and data quality.
Develop reconciliation processes that validate customer data and audience membership across source systems, mParticle, activation platforms, and reporting environments. - End-to-End Platform Testing
Develop comprehensive test strategies spanning all mCDP components, including data ingestion, transformation, identity resolution, profile generation, segmentation, activation, and reporting.
Define and execute regression, integration, API, performance, and end-to-end testing across real-time and batch processing platforms.
Ensure quality coverage for event-driven architectures,…
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