Jobs at Yum! Brands

Develop, validate, and improve machine learning models (regression, classification, forecasting, optimization). Prepare data, perform feature engineering, train and evaluate models, and support deployment with Data/ML Engineering. Communicate results, document methods, and collaborate on experiments and cross-functional initiatives.

Design, develop, and deploy scalable machine learning models and data pipelines for production. Collaborate with data scientists, engineers, and stakeholders, optimize model performance and scalability, automate deployments, monitor production systems, and evaluate emerging ML and cloud technologies to drive business outcomes.

Deploy, maintain, and improve production ML workflows and platforms for media measurement and customer analytics on AWS. Build SageMaker jobs and endpoints, orchestrate pipelines with Step Functions, Lambda, and Airflow, manage model artifacts and CI/CD, troubleshoot production issues, and collaborate on platform enhancements and operational best practices.

Lead architecture for Taco Bell’s ecommerce ecosystem (mobile, web, middleware, integrations). Define scalable, reliable serverless and microservices solutions, guide migrations, assess feature feasibility, mitigate risks, and align roadmaps with internal and external partners while promoting architectural best practices.

Lead franchise recruiting and sales lifecycle from sourcing to onboarding; build and maintain pipeline of multi-unit operators; evaluate financial capability, operational experience and market fit; partner with development, lenders and brokers; execute franchise agreements and implement growth strategies for targeted markets.

Lead marketing partnership for Central America markets (Guatemala, Costa Rica, El Salvador, Panama), driving proactive planning, calendar and campaign execution. Coach franchisee marketing teams, manage agency relationships, and shape Paid, Owned, and Earned communications strategy. Collaborate cross-functionally to connect marketing to business outcomes and scale repeatable regional ways of working.

Provide day-to-day operational support for the Career Pathways program, manage participant inquiries and vendors, maintain participant records and KPIs, build dashboards and reports, analyze participant data to surface insights, support user research and continuous improvement, and coordinate communications and program execution across stakeholders.

Lead strategy, roadmap, and vendor relationships for Taco Bell's digital menu board (DMB) ecosystem. Drive DMB integrations with CMS, POS, and marketing systems, manage vendor SLAs and QBRs, guide cross-functional delivery, and ensure reliability, scalability, and measurable business impact across thousands of restaurants.

Lead the architecture, evolution, and governance of Taco Bell's enterprise design system across tokens, components, patterns, modules, and documentation. Partner with engineering, product, brand, and platform teams to ensure multi-surface consistency (mobile, web, kiosk, internal tools). Define versioning, contribution models, lifecycle standards, and drive adoption and enablement.

Design, develop, and maintain databases and scalable data pipelines. Build stored procedures, triggers, and ETL processes; perform testing, tuning, security, and data quality work. Collaborate with developers and stakeholders, document architecture, review code, and support reporting and integrations to enable restaurant and customer-facing systems.

Lead strategy and roadmap for the Restaurant Control Center (Pricing, Product Availability, Store Hours). Serve as technical product leader, collaborate with engineering, design, data science, and partners, translate business needs into specifications, prioritize platform enhancements to improve order processing, reliability, and scalability, and drive cross-functional delivery in an agile environment.

Lead FP&A activities for key commercial P&L areas including COGS and fixed expenses. Manage monthly/quarterly close, forecasting, financial modeling, capital evaluation, cross-functional partnership, ad hoc analysis, and communicate actionable insights to finance leadership and business partners.

Build and maintain Back of House data delivery and related BOH projects using AWS serverless technologies. Write code and unit tests, collaborate with SRE/QE/security/product teams across Yum! Brands, document data flows, and improve tooling and processes to increase restaurant operational efficiency and data integrations.

Design, develop, and maintain dashboards, semantic models, and reports using Microsoft Fabric, Power BI, and Snowflake. Analyze high-volume data sets, write and optimize complex SQL (PostgreSQL), ensure data quality, collaborate with cross-functional stakeholders, and support report migrations and deployments. Provide actionable insights to drive business decisions and work independently on complex analytics projects.

Lead and manage a digital customer analytics team, personally performing technical analytics (SQL/Python), designing and implementing data models, ensuring data accuracy and validation, supporting experimentation and A/B testing, and partnering with engineering and data science to deliver actionable insights that inform digital strategy.

Lead market intelligence analyses to support new restaurant development and sales forecasting. Use Excel, Alteryx, MicroStrategy and Power BI to produce insights, maintain the Market Plan and development tools, partner with vendors and stakeholders, and present findings to senior leaders to drive growth decisions.

Analyze digital promotion performance and channel profitability across kiosks, digital menus, and delivery aggregators. Prepare post-audit analyses and presentations, forecast promotion utilization and costs, support new product/menu analyses, conduct ad-hoc deep-dive analyses, and partner cross-functionally to provide actionable recommendations to optimize promotional design and profitability.

Lead Taco Bell's non-traditional development strategy across travel centers, airports, colleges, and other formats. Drive cross-functional collaboration, financial analysis and modeling, evaluate and recommend strategic plans, achieve new unit expansion targets, oversee execution, and build relationships to scale innovative business models.

Lead global Data Architecture, Engineering, and Operations to define vision, strategy, and operating model for enterprise data platforms. Oversee modern cloud stack (Snowflake, dbt, Airflow, AWS), vendor partnerships, budgets, and platform standards. Build high-performing teams, drive platform standardization, observability, automation, and deliver scalable data products for analytics and AI while partnering with senior stakeholders.

Design, develop, and execute manual and automated test plans for APIs, databases, and microservices. Prepare test environments, validate backend logs, analyze defects, coordinate with developers, and use AI-assisted tools to improve automation coverage and testing efficiency across releases.