Manager, Technology Testing

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 Blogto learn how technology and our global team are directly enabling the Accelerating the Arches strategy. Department Overview We 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 MarTech 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. Duties 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, MarTech, 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, streaming pipelines, and cloud-native data platforms. Test Automation & Continuous Improvement Design, build, and maintain scalable automation frameworks using Java, Python, and modern testing tools.Integrate automated testing into CI/CD pipelines to improve release quality, reduce manual effort, and accelerate delivery.Monitor quality metrics, identify risks, and drive continuous improvement initiatives that enhance platform reliability and operational excellence. Qualifications Quality Engineering & Test Automation Strong experience developing and executing enterprise testing strategies across complex distributed systems.Expertise in test automation using Java, Python, PyTest, JUnit, TestNG, Selenium, REST Assured, or similar frameworks.Experience building automated testing frameworks for API, integration, regression, performance, and end-to-end testing. Customer Data Platforms & Data Validation Experience testing Customer Data Platforms (mParticle preferred) including Data Plans, audience segmentation, identity resolution, customer profiles, and activation workflows.Strong SQL and data validation skills with experience performing data reconciliation and large-scale data quality testing.Understanding of data governance, lineage, schema management, consent management, and customer data privacy principles. Data Engineering & Cloud Technologies Experience testing cloud-native data platforms and event-driven architectures using technologies such as Kafka, Spark, Flink, Dataflow, Pub/Sub, or similar.Familiarity with GCP, AWS, containerized environments, CI/CD pipelines, and modern DevOps practices.Understanding of real-time data processing, distributed systems, and large-scale data platform architectures. Leadership & Communication Proven ability to lead testing programs across multiple teams and complex integration landscapes.Strong stakeholder management and communication skills with the ability to influence engineering, product, and business teams.Experience driving quality governance, release readiness, and continuous improvement initiatives. Compensation Bonus Eligible: Yes Long - Term Incentive: Yes Benefits Eligible: Yes Salary Range The expected salary range for this role is$127,332.00 -$159,165.00per year The above represents the expectedsalaryrange for this job requisition. Ultimately, in determining yourpay, we may also consider your experience, and other job-related factors. Additional Information: Benefits eligible: This position offers health and welfare benefits, including but not limited to comprehensive health insurance, which includes medical, prescription drug, mental health, dental and vision coverage, as well as, life insurance. 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 View email address on click.appcast.io. 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. #J-18808-Ljbffr McDonald's Corporation