Manager, Stills, Technical Consumer Data Research
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Description
Summary:The Manager, Technical Consumer Data Research (TCDR), reports to the Senior Director, TCDR, and leads sensory and consumer research for the still beverage categories across the EMEA region. In this role, you will apply sensory and consumer science to ensure that products and packaging deliver consistent, superior consumer experiences across diverse markets.
You will shape the strategic direction of the Still beverage categories innovation agenda by translating deep consumer and sensory insights into front-end, insight-driven strategies that power a prioritized, high-impact pipeline across product and packaging—enabling right-first-time execution, accelerating speed to market, and strengthening competitive advantage. As a critical business partner, you will develop and lead end-to-end, consumer-centric learning plans and research strategies that connect present-forward insights with future-back innovation opportunities.
Working cross-functionally with Marketing, Human Insights, Global Category, and Global Development & Innovation teams across the EME, Europe, and Africa operating units and global innovation centers, you will ensure alignment with evolving consumer trends, category strategies, and regional business priorities. Embedded within the Innovation, Technology & Strategy team, this role ensures consumer insights are fully integrated into broader innovation and strategic processes.
Functional Related Activities /
Key Responsibilities
Data Analytics & Synthesis
Proficient statistical analysis of sensory & consumer research, to include interpretation of research data, and application of appropriate methods, adopting appropriate risk management. Proficient use of statistical software (SPSS, SAS, JMP) and tools for analysis / modelling (Python, R, SQL, PLS Regression, ANOVA, factorial analysis, LLM, ML) and visualization (Power BI), with knowledge of Azure Platform for global data business use case analysis. Apply advanced analytics and statistical modeling to solve complex business problems. Translate data into clear, actionable insights that support business decision-making. Develop and adopt innovative,