AI Product Owner

The core responsibilities for the job include the following:

Product Discovery and Requirements:

• Identify business challenges, user needs, and opportunities for AI-driven product solutions.
• Define problem statements, user journeys, process flows, and product requirements.
• Translate business requirements into epics, user stories, acceptance criteria, and functional specifications.
• Work with technical teams to clarify requirements and ensure alignment between business objectives and product capabilities.

Product Backlog and Delivery Management:

• Own, maintain, and prioritize the product backlog based on business value, dependencies, risks, and delivery timelines.
• Collaborate with engineering, architecture, data, and other cross-functional teams throughout the product development lifecycle.
• Support sprint planning, requirement clarifications, testing, and release planning.
• Coordinate User Acceptance Testing (UAT), business sign-offs, product launches, and release-readiness activities.

Product Performance and Value Realization:

• Define product success metrics, adoption KPIs, and measurable business outcomes.
• Monitor product performance and user feedback to identify improvement opportunities.
• Evaluate business benefits and continuously refine product features and priorities.
• Support change management, user training, and adoption initiatives.

Stakeholder Management:

• Act as the primary liaison between business stakeholders and technical delivery teams.
• Communicate product priorities, progress, risks, dependencies, and decisions effectively.
• Ensure product requirements align with business goals, data privacy, security, and governance standards.

Requirements:

• Bachelor's degree in business, computer science, engineering, information systems, or a related discipline.
• Minimum 5 years of experience in product ownership, product management, business analysis, or digital transformation.
• Experience working with cross-functional software, data, automation, or AI product teams.
• Strong understanding of Agile methodologies, product backlog management, user stories, and acceptance criteria.
• Experience in UAT coordination, stakeholder management, and product performance tracking.
• Working knowledge of AI-enabled products and their business applications.
• Strong analytical, problem-solving, communication, and prioritization skills.

Preferred Skills:

• Experience with enterprise digital products, workflow automation, or AI-driven solutions.
• Familiarity with Agile tools such as Jira or Azure DevOps.
• Knowledge of product analytics, process improvement, and change management.
• Relevant certifications in product ownership, agile, or business analysis.