sr. decision science product owner, Data & Analytics (Seattle, WA)
About The Position
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. 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.
Requirements
- 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.
Responsibilities
- 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.
- 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).
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
