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Manager, Revenue Management - Pricing Optimization

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: McDonald's
Full Time position
Listed on 2026-10-23
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 129800 - 165490 USD Yearly USD 129800.00 165490.00 YEAR
Job Description & How to Apply Below
  • Full-time
  • Pay Transparency: $129,800 - $165,490
  • McDonald's Office

    Location:

    MHQ
  • Global Grade: G4
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

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 optimization 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 $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
  • Experience in time series modeling and forecasting with proficiency in Python.
  • Expertise in operations research methods and optimization algorithms.
  • 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

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…

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