McDonald's is looking to accelerate technology innovation to enhance customer experience through digital, delivery, and drive-thru channels, requiring expertise in enterprise data, analytics, and AI to achieve this vision.
Requirements
- 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
Responsibilities
- Establish complete 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 critical initiatives to advise and develop short and long-term products and platforms roadmaps.
- Collaborate closely with data and solution architects to provide mentorship and gain alignment for design, implementation, and standardization.
- Implement EA capability modeling framework and design principles to establish the to-be state architecture, capability domain boundaries, and strategy for evolution.
- Define objectives and key results and critical metrics for EA data, analytics and AI foundations practice and drive measurable outcomes.
- Lead highly critical initiatives and drive key technology decision and alignment at executive level.
Other
- Master’s degree in computer science, data Science, AI or related field.
- 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.
