Link to original job posting >>
Manager, Price Rounds and Operations (Data Science)
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.
Department Overview
Job Description
We are seeking a highly skilled Manager to join our Revenue Growth Management team on the Pricing Science Operations side.
Key Responsibilities:
- Develop reports and KPIs for the development and launch of the Price Engine in global markets.
- Serve as a technical and data expert resource, supporting pricing analysis, insights, and data.
- Partner with global teams (e.g., GCE, Products) to ensure the solution meets business needs and incorporates consumer feedback when available.
- Program the framework and prototype solution, including user interaction design, KPI measurement, and a business case for the Price Engine.
- Define and operationalize the approach to measure performance, troubleshoot issues, and ensure the accuracy of engine outputs.
Qualifications
- Prior experience developing and executing pricing capabilities in a fast-paced global environment leveraging SAS and hosted environments; Python experience is a plus.
- Strong analytical and strategic skills, with the ability to synthesize marketing and pricing information to draw insights and actionable recommendations.
- Experience with product development and management is preferred.
- Ability to find and implement simple solutions to complex problems and drive process efficiency.
- Strategic thinking.
- Stakeholder and vendor management skills.
- Master’s degree in Statistics, Mathematics, Economics, Data Science, Decision Science, or a related field.
Compensation
Bonus Eligible: YES
Long - Term Incentive: YES
Benefits Eligible: YES
Salary Range
The expected salary range for this role is: $129,800 - $165,490