Director, Transformation

McDonald's Corporation•Chicago, IL

2d•$178,121 - $222,651

About The Position

The Director, Enterprise Data Analytics & AI (EDAA) Transformation will lead the strategy, design, and execution of the organization's next generation AI-powered analytics capabilities, transforming how markets and business functions across the enterprise access information, generate insights, and make decisions. This leader will partner with senior business stakeholders to identify high-value opportunities, define a strategic roadmap, and translate business priorities into scalable AI and data solutions delivered by engineering teams. As a key driver of enterprise transformation, they will help establish standardized data, metrics, and business logic across functions and markets, ensuring AI is powered by trusted, governed information. This role requires a combination of strategic vision, deep technical expertise in AI and data platforms, executive communication skills, and hands-on problem solving to bridge the gap between business needs and technology execution.

Requirements

10+ years of experience leading development of enterprise data, analytics, AI, or digital solutions
Proven success delivering enterprise-scale AI or analytics solutions to drive transformation
Deep experience with modern data platforms, AI technologies, and enterprise analytics
Experience partnering directly with executive leadership to influence organizational priorities
Strong understanding of data governance, enterprise standards, and scalable data architecture
Proven ability to lead multidisciplinary teams and deliver complex, cross-functional programs
Bachelor's degree in Comp Sci, Engineering, Data Science, Information Systems, or related field

Responsibilities

Help shape and drive execution of the strategy and roadmap for EDAA’s Data & AI solutions, with a focus on delivering an AI-powered experience for accessing data, insights, and decision support
Translate business needs into product roadmaps, business requirements, and technical requirements for engineering teams
Lead the design and delivery of scalable AI-powered analytics solutions that drive measurable business value
Champion enterprise-wide data standardization, governance, and consistent business definitions to enable trusted AI and analytics
Partner with engineering, architecture, and product teams to guide solution design and ensure successful delivery
Drive cross-functional programs, managing priorities, risks, dependencies, and executive communications
Facilitate measurement of business impact, adoption, and value realization
Develop and lead a high-performing team, fostering a culture of innovation and collaboration