IT Product Manager

Role Overview

IT Product Manager

Key Responsibilities

Product Management Duties

• Conduct

  Use Case Discovery

  sessions with stakeholders to identify high-impact AI opportunities.
• Facilitate

  Prioritization Exercises

  to align initiatives with strategic goals and resource availability.
• Lead

  Solution Alignment Workshops

  with technical teams to ensure feasibility and scalability.
• Document detailed requirements in

  Product Requirement Documents (PRDs)

  .
• Collaborate with technical teams to

  implement AI solutions

  and manage delivery timelines.
• Serve as a

  liaison between technical teams and stakeholders

  , ensuring clarity and alignment.
• Track and report on

  KPIs and ROI

  for deployed AI solutions.

AI Champion Responsibilities

• Evangelize AI

  : Promote AI use cases, tools, and success stories across IT and business units.

• Identify Use Cases

  : Surface opportunities and pain points for AI-driven transformation.

• Experiment & Pilot

  : Lead or support small-scale AI experiments and proof-of-concepts.

• Upskill & Educate

  : Create recorded training materials and lead sessions to build AI literacy.

• Feedback Loop

  : Provide structured feedback to the IT s AI forum.

• Collaborate

  : Actively participate in the

  AI Champions Forum

  and cross-functional strategy discussions.Qualifications

Qualifications

• 5+ years of experience in IT Product Management, preferably with exposure to AI/ML initiatives.
• Strong understanding of AI technologies including NLP, RPA, LLMs, and agentic frameworks.
• Proven ability to translate business needs into technical requirements.
• Experience with tools like JIRA, Confluence, ServiceNow, and GitHub.
• Excellent communication, stakeholder management, and facilitation skills.
• Passion for AI adoption and a track record of driving change.

Preferred Skills

• Familiarity with Gen AI platforms (e.g., Copilot, ChatGPT, Claude, Gemini).
• Experience in HR or IT employee experience domains.
• Knowledge of responsible AI practices and governance frameworks.