Senior AI Product Owner

Job Description

Job Application for Senior AI Product Owner at New Era Technology Back to jobs New Senior AI Product Owner Remote Apply Join New Era Technology, where People First is at the heart of everything we do. With a global team of over 3,000 professionals, we're committed to creating a workplace where everyone feels valued, empowered, and inspired to grow. Our mission is to securely connect people, places, and information with end-to-end technology solutions at scale. At New Era, you'll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Guided by our core attributes — putting people first, embracing continuous learning, and thriving through collaboration and inclusion — we nurture our people to deliver exceptional customer service. If you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you. Apply today and help us shape the future of work—together SUMMARY: The AI Agile Product Owner connects stakeholder strategy with the tactical execution of Agile development teams. This role owns and prioritizes the product backlog for AI-enabled features across digital applications and support platforms, translates product strategy into clear user stories and acceptance criteria, and promotes delivery that aligns with business value, user needs, privacy requirements, and responsible AI guardrails. HIERARCHY: Individual contributor who works across business stakeholders, product leadership, user experience, engineering, data, security, privacy, legal/compliance, and support teams. The role provides product direction to Agile delivery teams without direct supervisory responsibility. PRIMARY DUTIES: Partner with stakeholders to understand strategic objectives, user needs, product outcomes, and success measures for AI-enabled digital experiences. Translate strategic vision into actionable product roadmaps, epics, features, user stories, acceptance criteria, and prioritized backlog items. Own and continuously refine the product backlog in Jira, balancing business value, customer impact, risk, dependencies, team capacity, and technical feasibility. Provide clear product direction and timely decisions to Agile development teams throughout discovery, planning, delivery, validation, release, and ongoing optimization. Lead or actively participate in backlog refinement, sprint planning, daily coordination, sprint reviews, retrospectives, and release planning. Collaborate with engineering, design, data, analytics, support, security, privacy, legal, and compliance partners to define and deliver AI features in digital applications and platforms. Ensure AI use cases, requirements, data handling, and user experiences address applicable privacy, security, transparency, human oversight, and responsible AI guardrails. Define testable acceptance criteria and support validation of product increments against functional, quality, usability, and guardrail requirements. Maintain complete, current, and traceable product documentation, including decisions, assumptions, dependencies, risks, requirements, and release notes. Monitor delivery progress, remove ambiguity, communicate status and tradeoffs, and escalate material risks or decisions to the appropriate stakeholders. Gather stakeholder and user feedback, review performance data, and use insights to recommend backlog and roadmap adjustments. Support change readiness, stakeholder communications, and adoption activities for new or enhanced AI-enabled capabilities. Perform other duties as assigned. COMPENTENCY: Strategic and tactical alignment: Connects stakeholder vision and desired outcomes to executable delivery plans. Product ownership: Demonstrates strong backlog management, prioritization, roadmap planning, and value-based decision making. Agile delivery: Applies Agile principles and practices effectively in cross-functional product development environments. AI and digital platform knowledge: Understands the implementation of AI-enabled features within digital applications and support platforms. Responsible AI awareness: Recognizes privacy, security, transparency, data governance, human oversight, and other guardrails relevant to AI solutions. Communication and influence: Communicates complex concepts clearly to executive, business, technical, and delivery audiences. Documentation: Produces clear, concise, well-structured, and traceable product artifacts. Collaboration: Builds alignment across stakeholders and multidisciplinary teams, including partners without a direct report