Regional Workplace Program Manager

About the role

JLL is hiring a Regional Workplace Program Manager in Singapore to lead the AI Fluency and Enablement Program and deliver AI-enabled workplace programs within Real Estate & Workplace (REW). The role combines workplace knowledge, program management and hands-on technical delivery, building, testing and deploying AI applications, automations and integrations with stakeholders.

Key responsibilities

• Manage the AI fluency program: plan, rollout, stakeholder coordination and learning rhythm, sharing materials across regions and supporting teams through the REW ChatGPT Fluency Field Guide.
• Build and deploy AI applications, lightweight agents and automations connecting tools such as Slack and service-request systems, with engineering support for complex production work.
• Integrate software with workplace devices (sensors, cameras, touch displays, room-status hardware) and troubleshoot interfaces, including privacy and security reviews.
• Lead additional workplace programs adopting OpenAI technology, including emerging hardware and robotics where approved.
• Educate teams on prompts, reusable skills and automated workflows, coach on limits and handoffs, and require human review and monitoring.
• Maintain a library of approved methods, skills and tools, and keep a prioritised roadmap with outcomes, milestones, costs and delivery owners.
• Confirm service-owner acceptance, test failure paths and track reliability, adoption and improvements.

Required profile

• Typically 5+ years of experience in software engineering, technical program delivery, automation or AI enablement, including hands-on AI solution delivery.
• Demonstrated ability to build, test and deploy technical solutions or reusable workflows with documented evidence.
• Experience leading programs through planning, delivery and follow-through, and working with regional and account leadership, IT, data, security, privacy and engineering teams.
• Clear communication, facilitation and coaching skills, with evidence of helping non-technical colleagues adopt new ways of working.
• Sound judgment on data quality, access, privacy, reliability, failure modes and AI limitations.
• A relevant degree or equivalent practical experience is welcome.

Required skills

• Practical use of AI-assisted coding tools such as Codex, and ability to review, test and troubleshoot generated code.
• Proficiency in Python or another modern programming language is advantageous.
• Working knowledge of APIs, integrations, version control and software testing, plus product-management fundamentals.
• Hardware integration, front-end development, dashboard design and multi-site rollout experience would be useful.