Sr. Manager, Marketing Mix Modeling & Advanced Analytics

Yum!

133d • $139,000 - $163,000

About The Position

The position involves leading the execution of Marketing Mix Modeling (MMM) consulting projects from intake to delivery across internal Yum brands and external clients. The role requires conducting category and brand-level analysis to define modeling variables, data needs, and performance benchmarks. The successful candidate will build and validate statistical models using tools such as Python, R, and SQL, and deliver insights and recommendations through scenario planning and ROI simulations to optimize media allocation. The individual will act as the primary escalation point of contact for project interactions with brand teams and marketing partners, translating technical results into compelling business narratives through visualization, dashboards, and presentations. Additionally, the role includes providing real-time consultation during planning cycles, brand reviews, and investment recalibration discussions, mentoring analysts on best practices, ensuring delivery rigor and model consistency, and continuously evaluating and enhancing delivery methodologies based on the latest trends in media measurement and martech.

Requirements

• Bachelor’s or Master’s degree in Statistics, Economics, Marketing Analytics, Business Analytics, or a related quantitative field.
• 12+ years of experience in marketing analytics, with a demonstrated focus on MMM, consulting, and client/stakeholder management.
• Proven success in leading cross-functional analytics teams and mentoring junior talent.
• A deep understanding of how marketing is executed, both digitally and traditionally, and how those investments affect business KPIs.
• Exceptional ability to communicate complex analytical concepts clearly and persuasively to both technical and non-technical audiences.
• Experience working across diverse industries, including QSR, CPG and Retail, is highly preferred.
• Strong problem-solving, stakeholder influencing, and project leadership skills.
• Experience in Bayesian modeling frameworks and familiarity with cutting-edge martech platforms.
• Adept at data visualization, presentation design, and business storytelling.
• Demonstrated experience executing MMM or equivalent econometric frameworks across diverse media environments.
• Ability to synthesize data into compelling stories tailored to marketers and finance stakeholders.
• Prior experience managing analysts and leading analytics projects across multiple markets or verticals.
• Ability to manage multiple client relationships simultaneously across geographies and verticals, ensuring high satisfaction and value delivery.

Nice To Haves

• Strong proficiency in Python, R, SQL, and marketing modeling libraries such as scikit-learn, stats models, and Prophet.
• Familiarity with Yum’s brand ecosystem or similar multi-brand enterprise environments.
• Background in experimentation design (e.g., holdouts, lift tests) and media effectiveness analysis.
• Deep industry knowledge in QSR sectors, with an understanding of consumer behavior and brand dynamics.

Responsibilities

• Lead the execution of MMM consulting projects from intake to delivery across internal Yum brands and external clients.
• Conduct category and brand-level analysis to define modeling variables, data needs, and performance benchmarks.
• Build and validate statistical models (e.g., linear regression, regularization techniques) using tools such as Python, R, SQL.
• Deliver insights and recommendations through scenario planning and ROI simulations to optimize media allocation.
• Act as the primary escalation point of contact for project interactions with brand teams and marketing partners.
• Translate technical results into compelling business narratives through visualization, dashboards, and presentations.
• Provide real-time consultation during planning cycles, brand reviews, and investment recalibration discussions.
• Mentor and guide analysts on best practices in MMM, statistical modeling, QA, and consulting communication.
• Ensure delivery rigor and model consistency across projects while incorporating new techniques and lessons learned.
• Continuously evaluate and enhance delivery methodologies based on the latest trends in media measurement and martech.

Benefits

• Medical, dental, vision, legal, and accidental death and dismemberment insurance coverage.
• FSA/HSA options depending on enrolled medical plan.
• Short-term disability and long-term disability insurance.
• Life insurance.
• 401(k) plan enrollment.
• 4 weeks of vacation.
• Paid sick leave.
• 10 paid holidays.
• A floating day off.
• 2 paid days for volunteer time each calendar year.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees