Senior Manager - Global Data Analytics and AI Product Activation

Job Description
Company Description:
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. We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald's remains one of the world's leading corporations after almost 70 years. 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 positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From 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 planet. We also offer a broad range of outstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements.
Job Description:
McDonald's is on an exciting journey to transform our enterprise data, analytics, and AI function and turn our data into a winning advantage for the system. We are seeking Business Core team member to play a pivotal role in bridging the gap between our business stakeholders and the data, analytics, and AI teams.
You will serve as a liaison, representing the voice of the business during the development of the process and governance framework that will bring the new function to life. This individual will leverage their expertise in Data, Analytics, and AI processes as well as their excellent communication skills to inform the design of key capabilities like demand intake and funding through the lens of the business.
Primary Responsibilities:

• Co-create and manage product roadmaps with Global Technology, ensuring timely delivery and continuous improvement of data and analytics solutions
• Collaborate with market stakeholders to define the deployment plan of key data, analytics, and AI products balancing ongoing priorities with critical needs
• Establish and monitor key performance indicators (KPIs) and metrics to measure the success and impact of data and analytics products, ensuring solutions provide actionable insights and tangible business value
• Collaborate with the EDAA transformation team to test and learn new processes, governance structures, and capabilities with use case build
• Drive the education, adoption and usage 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.

Benefits eligible : Yes
Bonus eligible : Yes
Long term incentive eligible : Yes
The expected salary range for this role is $ 129,800 - $ 165,490 / per year
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors.
Qualifications:
* 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 and uses Agile principles to work towards the solution.
* Data and AI Experience: Strong business experience in data and analytics, business intelligence, data management, or related fields.
* Data and AI Product Expertise: 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.
Additional Information:
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald's long-term incentive plan.
McDonald's is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald's provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact [email protected] . Reasonable accommodations will be determined on a case-by-case basis.
McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.