Product Manager

Senior Product Manager AI Transformation We are looking for a Senior Product Manager AI Transformation to drive enterprise AI initiatives from business problem discovery to production-ready solutions. This role will work closely with business stakeholders, BUs, engineering, data, AI architecture, and governance teams to identify high-impact AI opportunities, define requirements, shape product roadmaps, and deliver measurable business outcomes. Key Responsibilities Partner with business stakeholders and cross-functional BUs to identify, prioritize, and scope AI transformation opportunities. Translate business problems into clear product requirements, user stories, success metrics, and delivery roadmaps. Work with AI architects, ML engineers, data teams, and platform teams to build scalable AI/ML, GenAI, LLM, RAG, and agentic AI solutions. Own end-to-end product delivery from discovery, solution design, MVP definition, rollout, adoption, and value tracking. Ensure AI solutions are aligned with enterprise governance, security, compliance, cost, and responsible AI standards. Drive stakeholder communication, change management, user adoption, and executive reporting. Required Experience More than 8 years of experience in Product Management, AI/ML product delivery, digital transformation, or enterprise technology programs. Proven experience building or delivering AI solutions in production, preferably involving GenAI, LLMs, RAG, automation, predictive analytics, or agentic workflows. Strong experience working with senior business stakeholders to gather requirements and convert them into actionable AI product roadmaps. Experience collaborating with engineering, data science, architecture, cloud, security, and governance teams. Key Skills AI/ML and GenAI product management Business requirements gathering and stakeholder management Product roadmap, prioritization, and delivery ownership Understanding of LLMs, RAG, agents, data pipelines, APIs, and enterprise AI platforms Strong communication, problem-solving, and executive presentation skills Outcome-driven mindset with focus on adoption, ROI, scalability, and responsible AI governance