senior manager, decision science - Platforms & Insights at Starbucks

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

0.0

Posted On

08 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Data Modeling, Cloud Technology, SQL, Python, R, Statistics, Data Visualization, Excel, Tableau, Power BI, Decision Science, Team Leadership, Product Management, Consulting, Strategic Planning

Industry

Retail

Description

Now Brewing - senior manager, decision science - Platforms & Insights! #tobeapartner 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 the decision science leader that serves across Coffeehouse Design & Development, you will shape the future of our business by forming a clear vision for how data-driven insights will guide decisions and execution across the store lifecycle: Plan, Design, Build, and Maintain. You will inspire and empower a team of talented professionals to innovate, collaborate, and deliver solutions that enable core Coffeehouse Design & Development priorities and steward coffeehouses that inspire, perform, and endure. As a senior manager, decision science you will Lead people: Inspire a team of data analysts and decisions scientists by delivering a clear vision for decision support and leading partners in data modeling while leveraging the Starbucks Values to achieve results. Manipulate and Model Data: Procure and manipulate large-scale, complex data from a variety of systems (AWS, Azure, Databricks, Alteryx, SQL, Python, etc.). Identify anomalies and data issues and work cross functionally to resolve. Operationalize and Communicate insights: Effectively present complex technical material to non-technical audiences in an approachable way with insights and implications. Provide analytic validation and application of data to accurately represent the model and promote recommendations into business processes Collaborate cross-functionally: With colleagues at all organizational levels, understand decision science and advanced analytics and work with data science and data engineering to bring effective decision support solutions to market Create recommendations and opportunities: Connect opportunities and insights across the enterprise, identify unique opportunities and gain organizational momentum toward vision Visualize Data: Work under consultative or self-initiated direction to assess and produce relevant, standard or custom information (e.g., reports, charts, graphs and tables) from structured data sources accompanied by skilled communication, data presentation and storytelling Leads conversations to establish standards and best practices (e.g., version control, coding standards, documentation, storytelling with data, business communication, data sensitivity policies, analytics best practices, engineering best practices) for team We'd love to hear from people with: BA/BS or equivalent experience; Prefer BA/BS degree with discipline in Stats, Math, Computer Science, Engineering, Economics, Quantitative Social Science, or similar Minimum of 7 years of experience with cloud tech for data and analytics solutions (Azure, AWS) Minimum of 7 years of experience in Excel, SQL, Tableau / Power BI and Python, R or other advanced analytics scripting language or experimental design platforms Minimum of 7 years of expertise in data methodologies and skills in accordance with business applicability and insights operationalization Minimum of 7 years of experience managing a team Experience managing experts in data analysis and data modeling with proven people leadership and career development experience Progressive experience in product management, design-thinking, management consulting and/or corporate strategy leading transformation programs and projects Passion for decision support strategy development and experience working with data scientists in a product development environment Demonstrated ability to use analytics and optimization tools to inform product planning and prioritization. MBA or graduate degree in data science or adjacent field highly preferred Strong Proficiency with SQL, SAS, Python or R Skilled knowledge of statistics (e.g., descriptive, regression, etc.) Business experience with several data visualization tools (e.g., Tableau, Power BI) Experience developing and delivering presentations to executive level audiences Strategic planning or management consulting experience preferred 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 emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor's degree through Arizona State University's online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com. If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above. The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. We believe we do our best work when we're together, which is why we're onsite four days a week. Join us and inspire with every cup. Apply today! Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.

Responsibilities

As a senior manager, you will lead a team of data analysts and decision scientists to shape data-driven insights that guide business decisions across the store lifecycle. You will collaborate cross-functionally to operationalize insights and create recommendations that align with core business priorities.