AI Product Owner

Roles & Responsibilities

Key Responsibilities

1. AI Product Vision & Strategy

• Define and communicate the AI product vision and roadmap aligned with business objectives
• Identify where AI creates value: automation, prediction, recommendation, classification, or decision support
• Clearly define what AI should decide, suggest, or automate vs what remains human-controlled
• Ensure AI initiatives align with enterprise compliance, security, and ethics standards

2. Product Backlog & Discovery

• Own and prioritize the AI product backlog based on business value, risk, and feasibility
• Convert business problems into AI-ready user stories with clear outcomes and acceptance criteria
• Lead discovery activities including:
  • Gap analysis
  • Benchmarking & reverse engineering
  • AI opportunity assessment within existing ERP / SC workflows

3. Requirements & Process Design (AI-Aware)

• Perform end-to-end business process analysis (As-Is → To-Be) with AI augmentation
• Define:
  • Decision points
  • Confidence thresholds
  • Exception handling & fallback behavior
  • Human-in-the-loop workflows
• Document requirements using BPM, user journeys, feature models, and decision flows
• Ensure requirements are understandable to both business stakeholders and AI engineers

4. Solution Design & UX Collaboration

• Work with UX / Conversational Designers to define:
  • AI-assisted user journeys
  • Explainability & trust signals
  • AI prompts, recommendations, and controls
• Support prototyping and wireframing to validate AI-driven flows before development
• Ensure AI features are usable, explainable, and safe, not just powerful

5. Cross-Functional Collaboration

• Act as the single owner of AI feature outcomes
• Collaborate closely with:
  • AI / ML Engineers (models & data pipelines)
  • Platform & Integration teams
  • UX / UI teams
  • QA & Release teams
• Align stakeholders across Product, Engineering, and Business

6. Quality, Metrics & Governance

• Define success metrics such as:
  • Accuracy / confidence levels
  • Reduction in manual effort
  • Process cycle time improvement
  • Feature adoption & business impact
• Participate in demos, validation, and feedback cycles
• Ensure AI outputs meet quality, compliance, and audit requirements
• Track KPIs and communicate progress transparently

Required Qualifications:

Education

• Bachelor’s degree in Computer Science, Engineering, IT, or related field

Experience

• 6 – 8 years as Product Owner, Business Analyst, Consultant, or similar role.
• The last 3 years must be in a similar capacity. 
• Strong experience in AI Product, HCM, Finance & Supply Chain domains, etc.
• Proven experience delivering enterprise products in Agile environments
• Experience working with AI-enabled or data-driven features (direct or adjacent)

Functional & Domain Expertise

• HCM, Finance, Supply Chain, ERP processes
• Business Process Mapping (BPM) – As-Is / To-Be
• Requirement elicitation, analysis, and documentation
• Backlog management and prioritization
• Stakeholder management in complex environments

AI Literacy (Must-Have, Not Deep Technical)

• Understanding of:
  • AI confidence & uncertainty
  • Training vs inference
  • Hallucination & bias risks
  • Human-in-the-loop design
• Ability to set realistic expectations of AI capabilities

Tools & Ways of Working

• Strong experience with Jira (backlog, reporting, KPIs)
• Agile / Scrum / Kanban
• Experience writing:
  • AI user stories
  • Acceptance criteria with confidence thresholds
  • Business & solution design documents

Certifications (Preferred)

• CSPO / PSPO
• CBAP (or equivalent)