Scrum Master

McDonald's Corporation•Chicago, IL

About The Position

McDonald’s is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. As the global leader in the foodservice industry, our legacy of innovation and hard work continues to drive us. From drive-thru updates to delivery to mobile order and pay, we are innovating quickly and growing. Joining McDonald's means thinking big and preparing for a career that can have influence around the world. At McDonald’s, we see every day as a chance to create a positive impact. We lead through our values centered on inclusivity, service, integrity, community, and family. From the support of Ronald McDonald House Charities to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry, and the planet. We also offer outstanding benefits including a sabbatical program, tuition assistance, and flexible work arrangements. We are an equal opportunity employer committed to the diversity of our crew members, staff, operators, and suppliers. We promote an inclusive work environment that creates feel-good moments for everyone. We are interested in people who enhance our company culture: Does this role interest you? We encourage you to apply even if you don’t meet every single requirement! Department OverviewMcDonald’s is creating smarter, more responsive digital and data systems that transform operations and elevate guest experiences. The Enterprise Data, Analytics, and AI (EDAA) organization empowers every function—marketing, operations, supply chain, and more—through seamless integration of business and technology. We are hiring a Scrum Master focused on supporting the Digital Payments Engineering Team. This area covers data flowing from our payment providers and McDonald's payment services and primarily focuses on data ingestion, curation and analytics. This role sits within Data Analytics, Architecture and AI. This group manages data from various areas of the business including Sales, Restaurant, Finance, People and many more. You will work alongside passionate data engineering professionals and business stakeholders focused on Digital Payments, Treasury and MarTech.

Requirements

5+ years of experience in program/project management, preferably in AI, data engineering or technology sectors.
Strong understanding of agile methodologies and project management tools.
Excellent communication and stakeholder management skills.
Experience with Jira, Jira product discovery, and Confluence
Educational background in Business Administration, Computer Science, or a related field.
Excellent facilitation, conflict resolution, and stakeholder management skills.
Proven ability to lead cross-functional teams and manage complex projects.

Nice To Haves

Certified Scrum Master (CSM/PSM) or SAFe Agilist certification is a plus

Responsibilities

Project Oversight: Planning, execution, and delivery of projects ensuring alignment with business goals.
Agile Facilitation: daily stand-ups, Sprint planning, retrospectives, sprint reviews and other agile ceremonies.
Coach the team on self-organization, cross-functionality, and continue improvement
Track and report on sprint progress, velocity, and key metrics
Team Coordination: Collaboration and communication across cross-functional teams.
Work closely with product owner to refine backlog, ensuring clarity.
Resource Management: Identify and eliminate blockers. Mitigate risks around timelines, budgets, and resource allocation.
Risk Mitigation: Identification and resolution of project risks and issues.
Compliance: Adherence to industry standards and best practices.
Performance Monitoring: Tracking progress and reporting on key metrics.
Continuous Improvement: Encouraging learning and process enhancements.
Stakeholder Communication: Bridging the gap between technical teams and business stakeholders.
Process Optimization: Development and implementation of project management tools and methodologies.