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.

• Co-create and manage product roadmaps with Global Technology, ensuring timely delivery and continuous improvement of data and analytics solutions
• Collaborate with key business users to help define the problem we are trying to solve and lead/facilitate Human Centric Design workshops to prioritise using a desirability, viability and feasibility approach
• Collaborate with market stakeholders to define the deployment plan of key data, analytics, and AI products balancing ongoing priorities with critical needs
• Collaborate with the EDAA transformation team to test and learn new processes, governance structures, and capabilities with use case build
• Drive the Engagement, education and adoption of data and analytics products across the organization and within the markets, promoting a data-driven culture
• Communicate complex data concepts and insights to non-technical stakeholders in a clear and impactful manner.

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• Educational Background: Bachelor’s degree in business, Computer Science, Data Science or related discipline.
• Human Centric Design: Experience with solving problems from the outset using a Human centric design approach
• Agile Methodologies: Experience using Agile principles to work towards the solution, additional advantage if candidate also has a scum certification
• Data and AI Product Expertise: Strong business experience in Data and Analytics, Business Intelligence and experience building and deploying data and analytics products, technology, business intelligence, data management, or related fields, using agile methods.
• Cross-functional Experience: Experience working in cross-functional, global teams and managing complex projects.
• Impact Focused: Strong analytical and problem-solving abilities, with a track record of driving business value through data-driven initiatives.
• Transformation Experience: Demonstrated experience in supporting large-scale data and analytics initiatives in a complex, fast-paced environment.