About the position
We are seeking a highly skilled Manager to join our Revenue Growth Management team on the Pricing Science Operations side. This role involves developing reports and KPIs for the development and launch of the Price Engine in global markets. The Manager will serve as a technical and data expert resource, supporting pricing analysis, insights, and data. The position requires partnering with global teams (e.g., GCE, Products) to ensure the solution meets business needs and incorporates consumer feedback when available. Additionally, the Manager will program the framework and prototype solution, including user interaction design, KPI measurement, and a business case for the Price Engine. The role also involves defining and operationalizing the approach to measure performance, troubleshoot issues, and ensure the accuracy of engine outputs.
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.
Requirements
- 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.
Benefits
- Health and welfare benefits
- 401(k) plan
- Adoption assistance program
- Educational assistance program
- Flexible ways of working
- Time off policies (including sick leave, parental leave, and vacation/PTO)
- 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.
