Principal Architect – Enterprise Data, Analytics, & AI

As a key member of the global enterprise architecture team that defines enterprise architecture strategy, north star capability and architecture blueprints, architecture standards, and drives holistic execution and realization of the architecture vision, the principal architect – enterprise data, analytics, and AI will be playing a critical role in providing the architecture thought leadership along with execution influence across our global technology and business organizations.

• Establish holistic enterprise-level technology vision, strategy, standards, and capability roadmaps that set coherent context and direction connecting key enterprise data, analytics and AI initiatives for consumer, restaurant and company platforms.
• Design and develop enterprise data, analytics and AI target state architectures, standards, and specifications supporting current and future business needs.
• Represent EA point of view in strategic initiatives to advise and develop short and long-term products and platforms roadmaps.
• Work in close collaboration with data and solution architects to provide guidance and gain alignment for design, implementation, and standardization.
• Apply EA capability modeling framework and domain-driven design principles in defining the to-be state architecture, capability domain boundaries and evolution strategy.
• Define OKRs and KPIs for EA data, analytics and AI foundations practice and drive measurable outcomes.
• Lead highly strategic initiatives and drive key technology decision and alignment at executive level.
• Mentor other architects and play a key role in maturing the enterprise architecture practice.

Benefits eligible: Yes
Bonus eligible: Yes
Long term incentive eligible: Yes
The expected salary range for this role is $168,350 - $218,860
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.

• Master’s degree in computer science, data Science, AI or related field.
• Experience with data platforms and distributed data processing patterns & tools.
• Deep understanding in the major areas of Machine Learning, Predictive & Generative AI.
• Proven experience in architecting and deploying data, analytics, and AI solutions.
• Expertise in the areas of model architecture, data engineering, data governance and ML engineering.
• Experience in designing solutions for prediction, classification, clustering, anomaly detection, conversational agents, and information retrieval.
• Strong understanding of various AI architecture patterns & techniques.
• Experience with operationalizing machine learning systems using MLOPS
• Strong expertise with cloud, on-premises, and hybrid deployment models.
• Proven expertise of building AI, ML, Data Solutions using any of major cloud provider technologies.
• Strong analytical and architectural modeling skills. Well-Versed in key architecture concepts and principles, including DDD, microservices, REST APIs, viewpoints, and perspectives, etc.
• Experience with all facets of architecture and engineering including application development, platforms, infrastructure, security, and deployment. Experience delivering large-scale cloud-native solutions.
• Exposure to an enterprise level, global technology landscape and a proven ability to establish standards and define future roadmaps for a global company.
• Ability to partner with business and technology stakeholders to define and communicate values and outcome of new or evolving capabilities.
• Strong interpersonal communication and collaboration skills.
• Systems thinker.
• Ability to analyze complex problems from technology, business model and process, as well as organizational lens.
• Ability to manage ad hoc demands along with organizational priorities and set realistic expectations.
• A self-initiated influencer, and strong stakeholder management.

DESIRED SKILLS:

• Professional Level AI/ML/Data & Analytics Certifications
• Proven success in leadership role and vision.
• Experience in delivering both operational/transactional solutions as well as analytics solutions.
• Expertise in Google Cloud-based data, analytics and AI services.

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 [email protected]. 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.