Overview

Now Brewing - Sr/lead Decision scientist, the data democratization team! From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.As a Starbucks Sr/lead Decision scientist on the data democratization team, you will Be part of the team that powers data-driven decision-making across our data democratization team at coffeehouse operations, Partners and Supply Chain domain. You will help shape how insights are translated into action-enabling teams to optimize store performance, improve partner and customer experience, and scale solutions across the enterprise.Who you are A natural facilitator who loves working with people and building connectionsComfortable managing complexity and changePassionate about data integrity and complianceGrowth-minded, solution-oriented, and eager to learn continuouslyKey Responsibilties:Partner with cross-functional stakeholders to define problem statements, success metrics, and decision frameworksTranslate ambiguous business problems into structured analytical frameworks and actionable insightsGuide stakeholders through trade-offs, risks, and implications of data-driven recommendationsCommunicate insights clearly to both technical and non-technical audiences, influencing decisions at multiple levelsWhat you'll do:Analyze data to deliver actionable insights with strong hands-on experience with modern analytics and BI tools, including Alteryx, Power BI, Tableau, and MicroStrategyAbility to design, build, and scale interactive dashboards and reporting solutions that drive decision-makingdata preparation, transformation, and workflow automation (e.g., Python, R, SQL) to enable efficient analyticsEstablish reporting cadence, monitor KPIs, and share updates with stakeholders.Stay ahead of emerging AI/BI trends to accelerate data modernization efforts (Generative AI, Augmented Analytics).Collaborate with architects and engineers to enable AI-driven insights and modern BI capabilities (Cloud Platforms: Azure, APIs). We'd love to hear from people with:Strong communication and facilitation skills with cross-functional teams, including those with and without technical backgroundsLoves working with people and building connectionsComfortable managing complexity and changeExcellent documentation and organizational skillsExperience bridging technical and business teamsDemonstrated willingness to learn continuously, adopt new technologies and approaches, and share knowledge Growth-minded, solution-oriented, and curious!Enjoy working with people and data!What We're Looking For:5+ years in analytics, decision science, roles.Education: BA/BS in business or quantitative discipline (Stats, Math, Comp Sci, Engineering); Masters preferred.Strong communication and storytelling skills with an executive presence.Proven ability to drive projects from concept to impact in ambiguous environments.Technical proficiency in Python, SQL, and modern BI tools; familiarity with AI/ML concepts.Preferred:Experience integrating AI-driven insights into dashboards, semantic models, or data marts.Expertise advanced AI techniques and build AI-orchestrated pipelines for complex data analysis. As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire , sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized eme