AI Product Manager I

Job Summary

This role is responsible for managing assigned AI product modules and feature areas by translating business requirements into actionable user stories, prioritised backlogs, and sprint-ready requirements. Working under the guidance of senior product leadership, the role partners with engineering, architecture, data science, and business stakeholders to deliver AI-driven capabilities that align with product objectives and roadmap priorities.

Key Responsibilities

• Translate business requirements and product priorities into detailed user stories, feature specifications, acceptance criteria, and prioritised backlogs for assigned AI product modules.
• Own backlog management, feature prioritisation, sprint planning, and release execution for designated product areas, ensuring alignment with defined roadmap objectives.
• Collaborate with engineering, architecture, and data science teams to refine requirements, assess feasibility, and support timely delivery of AI-driven capabilities.
• Work closely with business stakeholders to gather requirements, document functional needs, and ensure alignment between business objectives and product implementation.
• Define feature-level success metrics, acceptance criteria, and quality measures to track progress and evaluate product outcomes.
• Support user acceptance testing, release readiness, and deployment activities to ensure successful delivery of product enhancements.
• Analyse product usage data, stakeholder feedback, and operational insights to identify opportunities for product improvements and backlog refinement.
• Create and maintain product documentation, release notes, functional specifications, and stakeholder communications for assigned product areas.
• Support Responsible AI, compliance, and governance requirements by incorporating defined standards, evaluation criteria, and documentation requirements into product development activities.
• Stay updated on AI, GenAI, and emerging technology trends to contribute ideas for future product enhancements and innovation opportunities.

Skill Requirements

• Translate business requirements and product priorities into detailed user stories, feature specifications, acceptance criteria, and prioritised backlogs for assigned AI product modules.
• Own backlog management, feature prioritisation, sprint planning, and release execution for designated product areas, ensuring alignment with defined roadmap objectives.
• Collaborate with engineering, architecture, and data science teams to refine requirements, assess feasibility, and support timely delivery of AI-driven capabilities.
• Work closely with business stakeholders to gather requirements, document functional needs, and ensure alignment between business objectives and product implementation.
• Define feature-level success metrics, acceptance criteria, and quality measures to track progress and evaluate product outcomes.
• Support user acceptance testing, release readiness, and deployment activities to ensure successful delivery of product enhancements.
• Analyse product usage data, stakeholder feedback, and operational insights to identify opportunities for product improvements and backlog refinement.
• Create and maintain product documentation, release notes, functional specifications, and stakeholder communications for assigned product areas.
• Support Responsible AI, compliance, and governance requirements by incorporating defined standards, evaluation criteria, and documentation requirements into product development activities.
• Stay updated on AI, GenAI, and emerging technology trends to contribute ideas for future product enhancements and innovation opportunities.

Other Requirements

• Deliver AI product features and enhancements aligned with roadmap priorities and business requirements.
• Improve delivery predictability and product quality through effective backlog management, sprint execution, and requirement definition.
• Enhance user adoption and product value through continuous feedback integration and data-driven prioritisation.
• Support the successful implementation of Responsible AI and governance requirements within assigned product modules.
• Contribute to product innovation and continuous improvement through effective collaboration with cross-functional teams.