Job Description

We are seeking a highly skilled and experienced Global Pricing and Revenue Management Manager to join our team. This role is ideal for someone with a strong background in operations research methods and operations algorithms. The successful candidate will be responsible for optimizing pricing and promotions/offers across all global markets, solving complex revenue management challenges, and leading a diverse team.

Key Responsibilities:

• Develop and implement pricing strategies and promotional offers for global markets.
• Utilize Python to solve complex revenue management challenges. Experience with additional programming languages is a plus.
• Apply advanced analytical techniques to pricing problems to generate ROI for global markets.
• Manage pricing tests in multiple markets simultaneously and conduct primary research projects (e.g., conjoint analysis).
• Lead and manage a global team of contractors, vendors, and direct reports across various time zones.
• Ensure effective communication and collaboration within the team, considering different communication skill levels.
• Intentionally grow, develop, and inspire team members to enhance the team's capabilities.
• Foster a culture of continuous learning and professional development.

Benefits eligible : Yes
Bonus eligible : Yes
Long term incentive eligible : Yes
The expected salary range for this role is $112,860-$143,000 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

• Experience in time series modeling and forecasting with proficiency in Python.
• Deep knowledge and understanding of machine learning, with practical experience in building deep learning models for revenue growth strategies.
• Strong background in applying statistics to solve revenue management problems.
• Continuous learner with a passion for staying updated on industry trends and best practices.
• Proven experience in managing complex analytical projects with multiple direct reports and stakeholders.
• Master's degree in Statistics, Mathematics, Economics, Data Science, Decision Science, or a related field.

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 mcdhrbenefits@us.mcd.com. 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.