TECHNICAL PRODUCT OWNER

POSITION

TECHNICAL PRODUCT OWNER

HYBRID- 2X/WEEK ONSITE RALEIGH, NC

LOCALS ONLY

• Bachelor's degree in Computer Science, Information Technology, Business, Engineering, or a related field.
• 7+ years of experience as a Product Owner, Product Manager, Technical Business Analyst, or similar role.
• Experience working directly with software engineering, architecture, data, QA, cloud, and operations teams.
• Strong background in requirements management, backlog prioritization, stakeholder facilitation, and Agile delivery.
• Experience supporting enterprise data, reporting, analytics, integration, or digital transformation initiatives.
• Knowledge of cloud-based environments, modern software delivery practices, and emerging AI technologies.
• Excellent communication, analytical, problem-solving, and decision-making skills.
• Ability to challenge assumptions, influence stakeholders, and drive consensus across business and technical teams.

Preferred Qualifications

• Experience in hospital, professional certification, education, nonprofit, or highly regulated environments.
• Experience with Microsoft Azure, Power BI, enterprise reporting, data governance, or modernization programs.
• Familiarity with AI-enabled products, automation platforms, and data readiness initiatives.
• CSPO, PSPO, SAFe, PMP, CSM, ITIL, Azure, or related certifications.

Key Responsibilities

• Own and prioritize the product backlog, roadmap, and delivery plans for technology and business initiatives.
• Partner with stakeholders to gather, analyze, and translate business needs into user stories, acceptance criteria, and implementation plans.
• Collaborate with architects, engineers, QA teams, and operations teams to deliver scalable, secure, and sustainable solutions.
• Drive application modernization, system integration, reporting, workflow automation, and process improvement initiatives.
• Support enterprise data strategy, including data harmonization, data quality, business definitions, governance, and cross-platform consistency.
• Partner with business and technical teams to improve AI readiness by helping establish trusted, well-structured, and governed data foundations that support analytics, automation, and AI-enabled solutions.
• Evaluate opportunities for AI and automation and help define high-value use cases that improve operational efficiency and stakeholder experiences.
• Balance business priorities with technical debt, security requirements, platform stability, and long-term maintainability.
• Coordinate testing, release planning, stakeholder communications, and adoption activities.
• Identify risks, manage dependencies, remove blockers, and drive alignment across stakeholder groups.
• Champion Agile delivery practices, continuous improvement, and data-driven decision making.