Description

Key responsibilities

• Define product vision, strategy, roadmap, and success metrics for AI and GenAI products across business and enterprise functions.
• Identify and prioritize use cases based on value, feasibility, data readiness, risk profile, platform readiness, AWS/cloud dependencies, user impact, and strategic alignment.
• Translate business needs into product requirements, user stories, acceptance criteria, operating requirements, governance requirements, and measurable outcomes.
• Manage product lifecycle from discovery, experimentation, MVP, pilot, production rollout, adoption, monitoring, and continuous improvement.
• Partner with AI engineers, researchers, cloud/platform teams, architects, UX, risk, compliance, legal, cybersecurity, data owners, and business stakeholders.
• Define KPIs such as adoption, productivity gain, cost reduction, cycle-time reduction, accuracy, risk reduction, user satisfaction, operational efficiency, and control effectiveness.
• Ensure AI products include appropriate governance, human oversight, explainability, auditability, security, data privacy, and Responsible AI controls.
• Drive AI-native adoption through change management, training, communication, feedback loops, executive reporting, and responsible citizen-development enablement.

Must-have candidate profile

• Experience in product management, digital transformation, AI/ML products, data platforms, enterprise technology, or business transformation.
• Strong understanding of AI, GenAI, LLM capabilities, limitations, risks, and enterprise adoption considerations.
• Ability to translate business problems into AI-enabled product opportunities, roadmaps, requirements, and measurable outcomes.
• Experience working with engineering, data science, research, architecture, risk, compliance, cybersecurity, legal, and business stakeholders.
• Strong roadmap management, prioritization, stakeholder engagement, business-case development, delivery governance, and adoption-management skills.
• Working knowledge of AI platform dependencies, including cloud delivery, data readiness, governance approvals, security reviews, and production support

Key Skills

Education

Bachelor's degree