sr. decision science product owner, Data & Analytics (Seattle, WA) at Starbucks Coffee Company

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Decision Science, Product Strategy, Data Analysis, AI Enablement, SQL, Power BI, Tableau, MicroStrategy, Python, R, Machine Learning, Statistical Modeling, Cloud Platforms, Azure, APIs, Emerging AI Trends

Industry

Retail

Description

A strategic thinker and natural problem solver who thrives on turning complex challenges into actionable solutions. Product-minded with an analytical lens—always thinking about how data and AI can be shaped into impactful products that drive business outcomes. Skilled at crafting compelling narratives and executive-ready presentations that influence decisions. Self-motivated and proactive, with the ability to navigate ambiguity and deliver results in a fast-paced, evolving environment. Experience: 5+ years in analytics, decision science, or product strategy roles. Experience integrating AI-driven insights into dashboards, semantic models, or data marts. Expertise advanced AI techniques and building AI-orchestrated pipelines for complex data analysis. As a Sr. Decision Science Product Owner, you will lead the vision and execution of data-driven products and AI-enabled solutions that empower enterprise decision-making. This role blends product strategy, decision science, and modern analytics to deliver measurable business impact. Product Ownership & Strategy (50%) Define and drive product vision for Decision Science and AI enablement initiatives. Translate business needs into actionable product roadmaps with clear success metrics. Create executive-level presentations and strategic narratives to influence stakeholders. Partner with cross-functional teams (Operations, Advanced Analytics, Data Science, Product) to align strategies and deliver outcomes. Decision Science & AI Enablement (50%) Analyze data to deliver actionable insights for supply growth and program design (SQL, Power BI, Tableau, MicroStrategy). Perform quantitative analyses to identify opportunities and build investment cases (Python, R, ML & Statistical Modeling). Establish 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). 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.

Responsibilities

As a Sr. Decision Science Product Owner, you will lead the vision and execution of data-driven products and AI-enabled solutions that empower enterprise decision-making. This role blends product strategy, decision science, and modern analytics to deliver measurable business impact.