Lead AI & Data Engineer

CURRENT EMPLOYEES, CONSULTANTS, AND AGENCY PARTNERS: If you currently work for Brown-Forman, please apply by clicking the Careers icon on the Workday portal. For best results, use Google Chrome to view this page. Meaningful Work From Day One Join our team and help shape the data foundation that will power Brown-Forman’s next generation of analytics and AI capabilities. As the Lead AI & Data Engineer, this role offers the opportunity to accelerate our digital transformation by building a trusted, scalable cloud data foundation essential for analytics, reporting, Master Data Management (MDM), and future AI capabilities. Bring strong engineering discipline, curiosity, and business partnership to solve meaningful problems, modernize how we work with data, and make a visible impact across the enterprise. Collaborating closely with business and technology teams, this position will translate high-value business problems into production-grade data solutions, while also helping to shape next-generation AI applications such as RAG, conversational AI, and agentic workflows. What You Can Expect   Business partnership and problem definition:   Partner directly with business stakeholders to understand needs, clarify ambiguity, and translate business problems into clear technical requirements, data products, and delivery plans.    Cloud data-platform modernization:   Help drive the modernization of data infrastructure from on-premises platforms to cloud-based solutions. Design and implement scalable data   lakehouse   patterns that support reliable ingestion, transformation, storage, and consumption of enterprise data.    Data pipelines and SaaS integration:   Partner with Data Engineering teams to design, build, and   operate   resilient, reusable ETL/ELT pipelines using Python, SQL, APIs, and cloud-native services. Collaborate on integrating data from SaaS platforms, enterprise applications, and other source systems into the enterprise data ecosystem while adhering to   established   data architecture standards, governance, and controls.    Data modeling, quality, and Master Data Management (MDM) enablement:   Develop analytical models, AI-enabled solutions, and decision-support capabilities that drive business value. Work closely with Data Engineering, MDM, and business stakeholders to   identify ,   validate , and prepare trusted data needed for reporting, advanced analytics, machine learning, and intelligent automation initiatives.    AI-ready data foundations:   Prepare governed, discoverable, and high-quality data that powers LLM, RAG, vector-search, conversational AI, and agentic applications. As the enterprise data foundation evolves, contribute to the design, development, and deployment of AI-enabled business solutions. Partner with business stakeholders and the AI Center of Excellence to deliver secure, scalable solutions that adhere to governance, security, compliance, and responsible AI standards.   Advanced analytics and reporting modernization:   Enable trustworthy, performant datasets for Tableau, AWS Quick, and other reporting experiences. Support the modernization and rationalization of reporting layers as the cloud data platform evolves.    Engineering excellence:   Develop, test, deploy, monitor, and document production-grade data solutions. Establish   high standards   for code quality, observability, reliability, security, and maintainability.    Technical leadership:   Bring a pragmatic, hands-on approach to solving complex problems. Share engineering practices, coach peers, and help raise the team’s capability in cloud data engineering and AI-enabled delivery.       What You Bring to the Table   3+ years of dedicated experience in Data Science, Data Engineering, or   AI, or 7 +   years of combined work and education   experience .   Experience building and deploying production-ready data and AI solutions. Strong understanding of modern data architectures, cloud