Sr Manager, Data Engineering
McDonald's, Chicago, IL, United States
Department Overview
We are looking for a Sr. Manager, Data Engineering – Data Clean Rooms to lead the strategy, delivery, and evolution of privacy‑safe data collaboration capabilities across the enterprise. In this role, you will be responsible for defining and scaling data clean room platforms that enable secure analytics, measurement, and insights while adhering to global privacy and data governance standards.
You will work closely with product, data engineering, privacy, legal, security, analytics, and business teams to translate complex use cases into robust, scalable clean room solutions. This role blends strong technical acumen with platform thinking and stakeholder leadership to ensure data can be responsibly shared and activated to drive meaningful business impact.
Duties
Own the product vision, strategy, and roadmap for Data Clean Room capabilities that enable secure, privacy‑compliant data collaboration across internal teams and external partners.
Translate business and analytical needs into clear, well‑defined product requirements, partnering closely with engineering to deliver scalable and reliable solutions.
Lead a data engineering team that collaborates with architecture, privacy, legal, and security teams to design and evolve DCR platform capabilities, including secure data access, identity abstraction, and controlled analytics workflows.
Guide technical decision‑making by helping teams balance scalability, performance, privacy, cost, and usability considerations.
Define standards and guardrails for data quality, access controls, monitoring, and auditing within DCR environments.
Drive integration with adjacent platforms such as data foundations, identity, consent management, analytics, and activation systems.
Evaluate and support build‑vs‑buy decisions, working with cloud providers and technology partners to assess fit against enterprise requirements.
Enable analytics, measurement, and media use cases by partnering with data science and analytics teams to support privacy‑safe insights, measurement, and attribution.
Establish and track product success metrics, including adoption, performance, platform reliability, and business impact.
Communicate product plans, system constraints, and progress clearly to technical and non‑technical stakeholders, ensuring alignment and transparency across teams.
Qualifications
7–10+ years of experience in product management, data platforms, or analytics products, with ownership of complex, enterprise‑scale products.
Strong background in Python‑based data platforms and services, with the ability to guide design and code quality through senior engineers.
Familiarity with Data Clean Rooms or secure data collaboration platforms, including concepts such as controlled joins, aggregation rules, and restricted output delivery.
Google Cloud Platform (GCP) certification (e.g., Professional Data Engineer, Professional Cloud Architect, or equivalent), demonstrating hands‑on expertise in designing, building, and operating cloud‑native data platforms at scale.
Experience with event‑driven and API‑based data integration, including hands‑on use of Apache Kafka and Gravitee for secure data ingress/egress, partner data onboarding and activation/measurement.
Strong analytical skills, including defining and tracking product KPIs related to adoption, usage, performance, and business impact.
Excellent communication and stakeholder management skills, including the ability to present product strategy, tradeoffs, and outcomes to senior and executive audiences.
Industry experience in advertising, marketing analytics, retail media, measurement, or personalization.
Compensation
Bonus Eligible: Yes
Long‑Term Incentive: Yes
Benefits Eligible: Yes
Salary Range: $167,366.00 – $209,207.00 per year
Equal Opportunity Statement
McDonald’s is committed to equal employment opportunity and creating a diverse and inclusive workplace. We believe the best ideas emerge from a wide range of perspectives and experiences.
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.
McDonald’s is an equal opportunity employer. We promote an inclusive work environment that creates feel‑good moments for everyone. We provide 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.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
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We are looking for a Sr. Manager, Data Engineering – Data Clean Rooms to lead the strategy, delivery, and evolution of privacy‑safe data collaboration capabilities across the enterprise. In this role, you will be responsible for defining and scaling data clean room platforms that enable secure analytics, measurement, and insights while adhering to global privacy and data governance standards.
You will work closely with product, data engineering, privacy, legal, security, analytics, and business teams to translate complex use cases into robust, scalable clean room solutions. This role blends strong technical acumen with platform thinking and stakeholder leadership to ensure data can be responsibly shared and activated to drive meaningful business impact.
Duties
Own the product vision, strategy, and roadmap for Data Clean Room capabilities that enable secure, privacy‑compliant data collaboration across internal teams and external partners.
Translate business and analytical needs into clear, well‑defined product requirements, partnering closely with engineering to deliver scalable and reliable solutions.
Lead a data engineering team that collaborates with architecture, privacy, legal, and security teams to design and evolve DCR platform capabilities, including secure data access, identity abstraction, and controlled analytics workflows.
Guide technical decision‑making by helping teams balance scalability, performance, privacy, cost, and usability considerations.
Define standards and guardrails for data quality, access controls, monitoring, and auditing within DCR environments.
Drive integration with adjacent platforms such as data foundations, identity, consent management, analytics, and activation systems.
Evaluate and support build‑vs‑buy decisions, working with cloud providers and technology partners to assess fit against enterprise requirements.
Enable analytics, measurement, and media use cases by partnering with data science and analytics teams to support privacy‑safe insights, measurement, and attribution.
Establish and track product success metrics, including adoption, performance, platform reliability, and business impact.
Communicate product plans, system constraints, and progress clearly to technical and non‑technical stakeholders, ensuring alignment and transparency across teams.
Qualifications
7–10+ years of experience in product management, data platforms, or analytics products, with ownership of complex, enterprise‑scale products.
Strong background in Python‑based data platforms and services, with the ability to guide design and code quality through senior engineers.
Familiarity with Data Clean Rooms or secure data collaboration platforms, including concepts such as controlled joins, aggregation rules, and restricted output delivery.
Google Cloud Platform (GCP) certification (e.g., Professional Data Engineer, Professional Cloud Architect, or equivalent), demonstrating hands‑on expertise in designing, building, and operating cloud‑native data platforms at scale.
Experience with event‑driven and API‑based data integration, including hands‑on use of Apache Kafka and Gravitee for secure data ingress/egress, partner data onboarding and activation/measurement.
Strong analytical skills, including defining and tracking product KPIs related to adoption, usage, performance, and business impact.
Excellent communication and stakeholder management skills, including the ability to present product strategy, tradeoffs, and outcomes to senior and executive audiences.
Industry experience in advertising, marketing analytics, retail media, measurement, or personalization.
Compensation
Bonus Eligible: Yes
Long‑Term Incentive: Yes
Benefits Eligible: Yes
Salary Range: $167,366.00 – $209,207.00 per year
Equal Opportunity Statement
McDonald’s is committed to equal employment opportunity and creating a diverse and inclusive workplace. We believe the best ideas emerge from a wide range of perspectives and experiences.
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.
McDonald’s is an equal opportunity employer. We promote an inclusive work environment that creates feel‑good moments for everyone. We provide 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.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
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