Manager, Digital Applied Analytics

This role leads the Digital Customer Data & Analytics team, reporting to the Director of Digital Customer Data & Analytics, and will manage 3–4 direct reports. It is a highly technical leadership position requiring recent, hands-on experience in data engineering practices, infrastructure design, and advanced analytics. The candidate must demonstrate expert-level SQL proficiency, intermediate Python skills, and exposure to ML/AI, as technical work cannot be delegated and must be executed personally for speed and accuracy. Beyond technical execution, the role will shape the vision for applied analytics, drive roadmap implementation, and coach junior team members to deliver impactful, data-driven insights that influence strategic decisions across digital platforms. This position will have significant impact by ensuring analytics excellence and enabling faster, smarter decisions that align with organizational priorities.

Responsibilities

Lead and manage a team of digital customer analysts to build and support digital customer analytics across the organization; Own the development and execution of impactful deliverables with data-driven insights that inform strategic decision-making across creative, technical, and business stakeholders; Explore, scope, perform discovery, build, and implement new and current data models for baseline reporting and direct application of data model outputs to digital pillars; Work closely with data engineers and data science teams to build data models, along with cross-functional partners to design domain-specific analytics frameworks; Ensure high data accuracy across all data platforms through regular data audits across all data sources and be able to knowledgeably discovery, document, and ensure completion of outstanding data issues; Ensure that foundational analytics work aligns closely and is relevant with broader organization goals and big bets across the different domains; Support best-practice A/B testing and experimentation with a clear understanding of complex statistical concepts and methodologies (Bonferroni, Bayesian, etc.); Personally perform technical analytics utilizing SQL/Python at an expert level proficiency; Understanding of UAT/PVT methodologies and best practices to ensure proper governance, taxonomy, and implementation on digital platforms

Requirements

Bachelor’s/Master’s degree in technical field (Math, STEM, Economics, Statistics, etc.); 8+ years of analytics experience; 6+ years of hands-on experience designing, building, and applying various data models (multi-touch attribution, mixed marketing, churn, etc.); 8+ years of hands-on experience with SQL (expert proficiency); 5+ years of hands-on experience with Python (intermediate proficiency); Strong understanding of data architecture design, data pipelines, and data storage; Strong understanding of data validation and QA both on digital platforms and within a database; High proficiency in experimentation setup and readouts for A/B, multivariate experimentation; Recent hands-on experience in data engineering practices, infrastructure design, and advanced analytics; Exposure to ML/AI

Nice to have

Focus on app/web or ecommerce data; Prior experience with digital platforms (e.g. Amplitude, Mixpanel, Braze, Salesforce, GA4)

Benefits

Bonus eligibility; Hybrid work schedule (onsite expectation Tues, Wed, Thurs) and year-round flex day Friday; Onsite childcare through Bright Horizons; Onsite dining center and game room; Onsite dry cleaning, laundry services, carwash; Onsite gym with fitness classes and personal trainer sessions; Up to 4 weeks of vacation per year plus holidays and time off for volunteering; Generous parental leave for all new parents and adoption assistance program; 401(k) with a 6% matching contribution from Yum! Brands with immediate vesting; Comprehensive medical & dental including prescription drug benefits and 100% preventive care; Discounts, free food, swag and honestly too many good benefits to name