AI Product Manager

NTT DATA North America is a recognized leader in IT and business services, and they are seeking an AI Product Manager to define and deliver AI and GenAI products that address high-value business challenges. The role involves managing the product lifecycle, aligning cross-functional teams, and ensuring the products meet enterprise requirements.

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, user impact, and strategic alignment
• Translate business needs into product requirements, user stories, acceptance criteria, operating requirements, and measurable outcomes
• Manage product lifecycle from discovery, experimentation, MVP, pilot, production rollout, adoption, monitoring, and continuous improvement
• Partner with AI engineers, researchers, data teams, architects, UX, risk, compliance, legal, cybersecurity, and business stakeholders
• Define KPIs such as adoption, productivity gain, cost reduction, cycle-time reduction, accuracy, risk reduction, user satisfaction, and operational efficiency
• Ensure AI products include appropriate governance, human oversight, explainability, auditability, and Responsible AI controls
• Drive user adoption through change management, training, communication, feedback loops, and executive reporting

Requirements:

• 7+ of experience of product management
• 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 and measurable outcomes
• Experience working with engineering, data science, research, architecture, risk, compliance, and business stakeholders
• Strong roadmap management, prioritization, stakeholder engagement, business-case development, and delivery-governance skills
• Banking, financial services, fintech, risk, operations, compliance, customer service, or enterprise productivity background
• Experience delivering AI copilots, knowledge assistants, automation tools, analytics products, AI platforms, or data products
• Familiarity with AI governance, model risk, data privacy, cybersecurity, and Responsible AI requirements