Director, Technical Consumer Data Research

Role Type: Individual Contributor The Director, Technical Consumer Data Research (TCDR) reports to the Senior Director, TCDR, APAC and leads consumer research for Japan and South Korea Operating Unit (JSK OU) and Global Categories, delivering front end, consumer centric insights to drive a prioritized innovation pipeline across Product, Packaging, and Equipment for right first time, high impact outcomes. Organizationally, the TCDR function sits within the Innovation, Technology & Strategy team, ensuring strong integration of consumer insights into broader innovation and strategic decision-making processes. This role serves as a critical business partner shaping strategic, end-to-end consumer centric innovation learning plans for the OU and Global categories whilst collaborating closely with Marketing, Human Insights, Global Development & Innovation teams, within the innovation centers to deliver present-forward and future-back research strategies, that drive exceptional consumer experiences whilst delivering business growth. What You'll Do for Us : TCDR Leadership of JSK OU, Global Categories and Global Community. Be a strategic business partner by leading and influencing the innovation pipeline for the OU, Global Categories and the Global TCDR Community, whilst shaping cross-functional alignment across TCDR, SRA, HI, Marketing, GDI, PD, ITS, Strategy, adopting a consumer-first mindset and with a deep understanding of the business environment. Identify strategic global and local category needs to develop and implement research plans to gain actionable sensory and consumer insights, providing technical guidance to the development team, Operating Unit and Global Category teams. Design and lead strategic enterprise-wide consumer research focused on human-centric design, for product, packaging, and equipment, applying sensory science expertise, data analysis, and insight interpretation to inform business recommendations and product solution development. Adopt a transformational, future-forward mindset leveraging digital, technology, AI/ML, and modeling to design agile consumer research plans and champion best-practice, innovative methodologies that solve complex challenges in collaboration with the Global TCDR team. Collaborate and partner with cross-functional internal and external experts, to include consumer researchers, experts of consumer, human, behavioral, shopper insights, external agency partners, academia, inclusive of AI technology data partners, to deliver best in class research for the local OU. Demonstrates deep functional expertise across TCDR disciplines, including sensory science, human behavioral science, consumer research, and advanced statistical and data science methodologies and sophisticated modeling techniques (e.g., AI, ML, LLMs, PLS regression) leveraging AI capability, to advance beverage category insights with strong business acumen. Utilizes rigorous statistical methodologies and advanced analytical techniques (e.g., AI, ML, LLMs, PLS regression) to design studies, analyze data, and interpret results with precision; synthesizes findings into robust, evidence-based conclusions and delivers clear, actionable technical and business recommendations to inform decision-making. Deploy standardized TCDR Global Capabilities across our frameworks, methodologies, approaches, as required, ensuring best-in-class functional expertise within the OU, adopting appropriate risk management, safety, and compliance. Lead and champion best practices, research methodologies, and develop creative solutions to complex challenges. Be curious to identify innovative alternative methods, frameworks, approaches. Global Beverage Category knowledge and understanding, with a trained palette for sensory evaluation thereof. Data Analytics & Synthesis Perform advanced statistical analysis for sensory & consumer research, to include interpretation of research data outcomes, and application of appropriate methods (e.g., ANOVA, parametric/non-parametric, modeling), adopting appropriate risk management. Proficient usage of Statistical software and tools such as JMP, SPSS, SAS, Python, R, SQL, Power BI, and Azure ML, parametric and non-parametric methods, ANOVA, factorial analysis, and modeling tools. 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, data-driven solutions to drive competitive advantage. Demonstrate hands-on experience applying analytics to real-world business challenges with measurable impact. Technical Risk Management Skilled in identifying and assessing technical risks, developing strategies to mitigate these risks, and implementing proactive measures to ensure project continuity and system integrity. Business Understanding & System Knowledge System Thinking- Partner with cross functional teams considering the needs of multiple stakeholders to influence and drive decisions for beneficial business outcomes. Ability to listen to and influence those in less technical roles to act and invest in capabilities with compelling business cases. Build cross-functional relationships and networks to drive consumer-centric solution development within assigned categories. Technical Communication & Data Storytelling Translate strategic visions into actionable plans, using knowledge of current business processes and best practices. Communicate with clarity and precision by using data-driven storytelling to drive change, negotiate with stakeholders, and engage with target audiences. Delivers insightful reports and trend dashboards to thoroughly examine consumer behavior, turning data into practical insights and suggestions for the entire organization. Storytelling, frameworks, tools, and approaches to socializing our Technical Product Story. Influencing & Stakeholder Management Function as a key business partner by effectively managing and nurturing int