Senior IT Product Owner (Onsite)

Tyson Shared Services•Springdale, AR

10h•Onsite

About The Position

The Senior IT Product Owner defines product strategy, manages priorities, and delivers technology solutions that create measurable business value. The role serves as the primary link between business stakeholders and technology teams, translating business needs into product roadmaps, actionable requirements, and successful product outcomes. The position is onsite and works the first shift. It focuses on delivering technology solutions that improve business processes, enhance the user experience, and create measurable business value. The role is not eligible for immigration or work authorization support now or in the future, or for relocation assistance. Candidates must be willing and able to perform the job’s physical requirements, with or without reasonable accommodation.

Requirements

Bachelor's degree in Business, Information Technology, Computer Science, or a related field.
At least 3 years of experience in product ownership, product management, business analysis, or a related technology role.
Strong experience with Agile/Scrum methodologies and enterprise technology delivery.
Proven ability to manage stakeholders, establish priorities, and drive business outcomes.
Excellent communication, analytical, leadership, and problem-solving skills.
Willingness and ability to perform the physical requirements of the job, with or without reasonable accommodation.

Nice To Haves

Product roadmap development
Agile product delivery
Requirements management
Business process improvement
Strategic prioritization
Executive stakeholder engagement
Data-driven decision-making

Responsibilities

Define and maintain the product vision, strategy, roadmap, and release priorities.
Partner with business leaders to identify opportunities and prioritize investments.
Gather and translate business requirements into epics, features, user stories, and acceptance criteria.
Own and manage the product backlog, balancing business value, risk, cost, and technical feasibility.
Lead backlog refinement, sprint planning, product demonstrations, and user acceptance testing.
Collaborate with cross-functional teams to deliver high-quality, customer-focused solutions.
Monitor product performance, adoption, stakeholder satisfaction, and business outcomes.
Drive continuous improvement, innovation, and effective change adoption.
Use approved AI tools responsibly, protect sensitive information, follow company policies, validate AI-generated outputs, and apply professional judgment when using AI.