AI Product Manager

Hitachi Energy is seeking an experienced AI Product Manager to design and implement Proof of Concepts for Multi-Agent Systems that will drive innovation in enterprise AI applications. This role involves building intelligent agents, integrating them into distributed environments, and collaborating with cross-functional teams to deliver scalable AI solutions.

Responsibilities:

• Lead discovery: conduct stakeholder interviews and current‑state mapping (SIPOC/Swimlane/BPMN), with bottleneck/root‑cause analysis to surface high‑value MAS opportunities
• Translate insights into product artifacts: craft clear problem statements, PRDs, user stories, acceptance criteria, and success metrics (OKRs/KPIs)
• Own lifecycle delivery: maintain and prioritize the backlog across PoC → MVP → Production
• Define MAS system design: specify multi‑agent architectures and orchestration patterns (task decomposition, routing, tool/API use, memory/knowledge access, guardrails) aligned with platform standards
• Leverage platform/CoE: partner to use approved models, frameworks, and components; publish reusable process maps, playbooks, and templates (PRDs, test plans, adoption guides)
• Drive agile execution: run ceremonies, manage timelines, coordinate cross‑functional contributors (data, ML, application, security), and remove delivery blockers
• Lead readiness & adoption: own UAT strategy, change management, enablement, and rollout plans to achieve measurable outcomes
• Ensure trusted data: coordinate with data owners for secure access, data quality, lineage, and integration to systems of record (CRM/ERP/MDM)
• Embed responsible AI: enforce safety, privacy, fairness, and auditability in alignment with governance and compliance
• Measure & communicate impact: track cycle‑time, accuracy, data‑quality, adoption, and cost‑to‑serve; iterate continuously; serve as single‑threaded owner reporting status, risks, and decisions to sponsors and technical leadership

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Experience in Multi-Agent Systems (MAS) initiatives
• Ability to effectively use AI tools in design processes
• Experience of creating and implementing data and artificial intelligence products
• Excellent communication and influencing skills across technical and executive audiences
• Good communication and teamwork skills, with the ability to explain technical ideas to diverse audiences
• Experience working in collaborative, cross-functional environments
• Proficiency in both spoken and written English is required