Lead pilots, drive adoption on the ground, and ensure solutions produce tangible, measurable impact.
Track post-launch metrics (adoption, cost impact, operational improvements) and iterate on existing features.
Support and promote an AI-first way of working by guiding teams on how AI should be integrated into daily processes.
Requirements
25 years experience in product management, process improvement, business operations, or consulting.
Strong analytical and logical thinking, with experience in process mapping or workflow redesign a strong plus.
Understanding of the technical product lifecycle from discovery to launch and iteration.
Ability to convert problems into product requirements with structured, logical thinking.
Hands-on curiosity, familiarity, and practical exposure to GenAI, automation, data science, and general machine learning principles. Proven experience in deploying AI/ML models to solve real-world problems is a huge plus.
Ability to collaborate across business, operations, and engineering, with strong communication and stakeholder management.
Self-driven, structured, and adaptable able to move between high-level discovery, detailed workflow analysis, and execution.
