At Casey''s, we believe our team members are the heart of everything we do. From the stores that serve our guests every day to the teams supporting our business behind the scenes, we''re committed to creating exceptional experiences that help our people thrive.
We''re looking for a Product Owner to join our Data Science and Analytics Solutions teams, working together with business stakeholders across all Business Units, to turn data into decisions. You''ll define and prioritize the roadmap, drive initiative deliverables, and adapt the strategy as the team learns and the business shifts. You are the translator between technical teams and business, communicating clearly and credibly with stakeholders at every level. Above all, you are passionate about building trusted relationships, leading with honesty, and defining the right work; separating what''s genuinely worth building from what only sounds good, and holding the team to measurable outcomes. Own value realization. Define measurable outcomes before delivery, then use adoption, results, feedback, and model monitoring to prioritize what to refine next.
Key Responsibilities:
- Translate business questions into analytics requirements. Turn ambiguous business questions into clear, buildable requirements for dashboards and models, defining the metrics, dimensions, grain, and outcomes a developer can execute against, and keeping the team clear on the why.
- Own and prioritize the backlog. Maintain a well-groomed, prioritized backlog, with defined outcomes and a definition of done that includes data quality and validation, so the team ships clean work every sprint.
- Move ambiguous work forward. Guide initiatives from fuzzy ideas through discovery, delivery, and post-release refinement.
- Drive the artifacts that make decisions traceable. Make sure each initiative leaves behind the documentation people rely on. Including problem statements, success measures, data sources, signoffs, and operations hand-offs.
- Ground decisions in data. Use data to understand guests, store, and business needs and behaviors, and transform that knowledge into new datasets, metrics, and analytics features.
- Ensure trusted, well-governed data. Partner with data engineering and governance to build data quality, shared metric definitions, lineage, and privacy into deliverables - so the insights the business relies on are accurate and reliable.
- Build partnerships & keep processes consistent. Run intake, alignment, and clear status comms with business owners across the enterprise, balancing business impact, urgency, technical feasibility, data readiness, and capacity. Work with product owners to keep execution consistent across teams.
- Champion AI and automation. Proactively champion AI, automation opportunities, and improvements across our products and processes, from embedding ML and GenAI into everyday decisions to automating manual work.
- Drive delivery & launch readiness. Drive initiatives, sequencing increments that ship value along the way, shepherding UAT, launch readiness, and defect triage so releases land clean.
- Perform other duties as assigned.
Compensation:
Starting pay range: $91,600-120,200. Actual pay may vary based on Casey's assessment of the candidate''s knowledge, skills, abilities (KSAs), related experience, education, and qualifications. Other factors impacting pay include local prevailing wages and internal equity. This position is eligible for an annual cash bonus based on company performance. Our full salary range for this role does extend beyond the typical hiring range listed, allowing team members the opportunity to continue to grow within the company.