Chapter Lead Data Science

Chapter Lead Data Science - Portfolio Strategy About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities. What you’ll do: Team Management : Build, mentor, and retain a high-performing, collaborative, and autonomous data science team of 10 to 14 members, fostering a culture of excellence and innovation. Technical Leadership : Lead the design and development of a portfolio strategy framework that enables the company’s global strategic goals to be executed at scale. Quality & Delivery : Ensure the technical excellence and business impact of machine learning models through code reviews, observability, telemetry, and modeling hands‑on contributions when needed. Strategic Leadership : Define and drive the short, mid, and long-term data science strategy related to portfolio strategy, ensuring alignment with company objectives and acting as a senior technical authority. Cross‑functional Collaboration : Partner with engineering, analytics, product, and business stakeholders to prioritize initiatives and deliver high-impact, data-driven solutions. Practice Excellence : Champion best practices across the data science lifecycle—promoting reusability, automation, and continuous monitoring to enhance efficiency and reliability. Innovation : Stay ahead of emerging technologies and incorporate innovative tools, methodologies, and frameworks into team practices to accelerate experimentation and value delivery. What you’ll need: Bachelor’s degree in computer science, Engineering, Mathematics, or any quantitative field; a master’s or PhD is strongly preferred. Proven experience leading data science teams, with strong people management skills and the ability to cultivate a collaborative, growth-oriented team culture. Deep understanding of machine learning techniques and experimentation frameworks, with experience applying them to real-world challenges such as recommendation systems, optimization, or forecasting. Extensive experience in architecting and optimizing data pipelines using Databricks, Azure, and Spark ecosystems. Familiarity with CI/CD practices, version control (e.g., GitHub), and automation tools to enable reliable and scalable ML operations. Strong communication and storytelling skills, capable of translating complex technical concepts into clear insights for both technical and non-technical audiences. Excellent organizational and strategic planning abilities, with a proven track record of managing multiple priorities and delivering results in dynamic environments. Advanced or fluent English proficiency and experience working in global, cross-functional settings. Nice to have: Experience with portfolio management strategies (e.g., recommendation techniques, audience management) and exposure to innovation environments or emerging technologies such as Generative AI. More about the role: Hiring model : CLT Level : Manager What We Offer: Performance based bonus* Attendance Bonus* Casual office and dress code Days off* Health, dental, and life insurance Discounts on Ambev products* School materials assurance Language and training platforms Equal Opportunity & Affinitive Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affinitive Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. ABInBev is committed to creating a diverse and inclusive workforce and culture. We conduct confidential surveys to better understand & ensure we provide equal opportunity throughout our end-to-end recruitment process. Individuals seeking employment at ABInBev are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you does provide will be recorded and maintained in a confidential file. #J-18808-Ljbffr