McDonald's

corporate.mcdonalds.com

4 Jobs

359,590 Employees

About the Company

McDonald’s is the world’s leading global foodservice retailer with over 37,000 locations in over 100 countries. More than 90% of McDonald’s restaurants worldwide are owned and operated by independent local business men and women.

McDonald's & our franchisees employ 1.9 million people worldwide.

We serve the world some of its favorite foods - World Famous Fries, Big Mac, Quarter Pounder, Chicken McNuggets and Egg McMuffin.

To learn more about the company, please visit www.aboutmcdonalds.com.

Listed Jobs

Company Name: McDonald's
Job Title: Risk Analyst
Job Description: **Job Title:** Risk Analyst **Role Summary:** Assess and mitigate cybersecurity risks to safeguard McDonald’s global information assets, supporting informed risk-based decision-making across departments. **Expectations:** Partner with cybersecurity leaders, business units, and technology teams to identify, analyze, and reduce risks aligned with organizational policies and regulatory standards (e.g., GDPR). Drive visibility into risk management value through metrics and reporting. **Key Responsibilities:** - Analyze industry risk trends and business strategies to identify security gaps and vulnerabilities. - Lead third-party security risk assessments to evaluate compliance with internal and external standards. - Collaborate with stakeholders to implement controls and mitigation strategies for critical services. - Map and report risks using frameworks (e.g., NIST, ISO) to identify improvement opportunities. - Develop metrics, track trends, and communicate risk insights to leadership for strategic decisions. - Create and maintain documentation for risk management workflows, controls, and governance processes. **Required Skills:** - Proficiency in cybersecurity risk analysis, third-party risk frameworks, and regulatory compliance (GDPR, NIST, ISO). - Strong understanding of information governance, cybersecurity best practices, and risk mitigation. - Analytical skills for data interpretation, trend analysis, and risk prioritization. - Interpersonal abilities to collaborate across teams and articulate technical risks to non-technical stakeholders. **Required Education & Certifications:** - Bachelor’s degree in Risk Management, GRC, Cybersecurity, Compliance, or related disciplines. - 1–3 years’ experience in Information/Technology Risk Management, Third-Party Risk, or Supply Chain Risk Management. - Preferred certifications: CISSP, CRISC, or CISA (if listed as required in original but omitted here due to ambiguity).

Chicago, United states

On site

Fresher

11-11-2025

Company Name: McDonald's
Job Title: Consultant, Digital Marketing (12 month contract)
Job Description: **Job title** Consultant, Digital Marketing (12‑month contract) **Role Summary** Provide strategic and tactical support to the Digital Marketing Manager in executing data‑driven CRM and owned‑channel campaigns. Drive end‑to‑end campaign planning, execution, and performance analysis across email, push, in‑app, and web channels, while collaborating with cross‑functional teams such as loyalty, media, creative, and technology. **Expectations** - Deliver measurable improvements in digital engagement and customer lifetime value. - Maintain a high level of accuracy and timeliness in campaign calendars and reporting. - Apply best practices in CRM, personalization, and multichannel integration to achieve KPI targets. **Key Responsibilities** - Develop, schedule, and manage CRM and owned‑channel campaign calendars, ensuring alignment with broader marketing objectives. - Coordinate with loyalty, media, creative, and brand teams to create integrated digital campaign plans. - Build and optimize customer journeys, targeted communications, and in‑app personalization roadmaps. - Analyse campaign and digital performance metrics, deriving actionable insights for continuous improvement. - Facilitate cross‑functional meetings, track project milestones, and deliver status updates to stakeholders. - Monitor industry trends, platform updates, and competitive activity to inform strategy adjustments. **Required Skills** - 4–6 years of experience in CRM, digital customer engagement, or campaign management. - Proficiency with CRM platforms such as Salesforce, Braze, or Adobe Campaign. - Strong analytical and data‑interpretation abilities with experience reporting on sales, consumer, and digital data. - Excellent written and verbal communication skills; capable of briefing and presenting to senior stakeholders. - Detail‑oriented project management skills, with the capacity to manage multiple concurrent initiatives. - Customer‑centric mindset and a proactive, innovative approach in a fast‑paced, agile environment. **Required Education & Certifications** - Bachelor’s degree in Business, Marketing, Communications, or a related field.

Company Name: McDonald's
Job Title: Manager, AI/ML Engineering
Job Description: Job Title: Manager, AI/ML Engineering Role Summary: Lead end‑to‑end AI/ML development for global deployment, focusing on either Computer Vision or Natural Language Processing. Translate research breakthroughs into production‑ready pipelines that drive operational efficiency and enhance customer experience across multiple touchpoints. Expectations: Deliver measurable business impact through scalable, high‑performance AI systems. Maintain best‑practice model governance, quality assurance, and compliance. Foster cross‑functional collaboration and mentor engineering teams. Key Responsibilities - Design, train, and refine state‑of‑the‑art CV (CNNs, Vision Transformers, Diffusion models) or NLP (Transformers, LLMs, RAG, embeddings) models. - Implement solutions in Python (C++ as needed) using PyTorch, TensorFlow, Hugging Face, and OpenCV. - Apply fine‑tuning, transfer learning, LoRA, quantization, and distillation to optimize models for latency, cost, and device constraints. - Build end‑to‑end AI pipelines for edge devices, kiosks, and cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML). - Ensure reproducibility, model versioning, and automated monitoring of production ML services. - Work with MLOps, product, and operations teams to integrate AI capabilities into customer‑facing features (e.g., drive‑thru, mobile ordering). - Lead AI governance, ethical‑AI reviews, and risk mitigation for responsible deployments. Required Skills - 5–9 years in AI/ML engineering with 4+ years hands‑on model development. - Deep expertise in transformer architectures and model optimization techniques. - Proficiency in Python; C++ knowledge is a plus. - Experience with CV/NLP frameworks: PyTorch, TensorFlow, Hugging Face, OpenCV, and cloud AI services. - Familiarity with MLOps tools, pipeline orchestration, and monitoring frameworks. - Strong communication and collaboration skills across technical and non‑technical stakeholders. - Commitment to responsible AI practices and scalable production delivery. Required Education & Certifications - Bachelor’s degree in Computer Science, Data Science, AI, or related field. - Master’s or PhD (or equivalent experience) preferred but not mandatory.

Chicago, United states

On site

Mid level

26-11-2025

Company Name: McDonald's
Job Title: Specialist, Development (1-year contract)
Job Description: Job title: Specialist, Development Role Summary: Provides spatial and statistical analysis to support new restaurant development and performance metrics for a one‑year contract. Expectations: Deliver accurate sales and impact estimates, evaluate sales lifts, and serve as an internal geospatial consultant for stakeholders. Key Responsibilities: - Partner with Supervisors and Real Estate to estimate sales and impact for potential sites nationwide. - Refine and develop tools and methodologies to improve sales/impact estimation accuracy. - Report development and performance metrics to internal audiences. - Assess expected and observed sales lifts from new initiatives, estimating sales transfer and recapture. - Provide GIS and census data expertise to inform business decisions. Required Skills: - Advanced spatial data analysis (GIS) and statistical forecasting. - Proficient in Alteryx, Excel, SQL, Power BI; experience with Smartsheet and coding a plus. - Strong analytical modeling, reporting, and data manipulation. - Consultative communication; clear written, oral, and presentation ability. - Collaborative stakeholder engagement, customer focus, and detail orientation. Required Education & Certifications: - Post‑secondary degree in Geography, GIS, or related discipline. - 2–3 years of analytical experience in business environments (real estate, QSR, retail, banking, insurance). - Proven ability to build statistical models and analytical tools for data‑driven insights.