Director, AI-Enabled Workplace Process Automation

Director, AI-Enabled Workplace Process Automation  The Director, AI-Enabled Workplace Process Automation is a senior individual contributor responsible for designing, building, and deploying AI-powered automation systems that accelerate existing workplace processes across WPM platforms and accounts business operations. This role eliminates manual tasks and processes that limit transformation velocity and acts as the team's internal AI capability multiplier.
Using Claude, agentic workflow tooling, and enterprise system integrations, this leader directly accelerates operational workflows across the existing WPM processes and platforms such as Corrigo, Power BI, SharePoint, Microsoft Teams, and other transforming how the WPM Transformation team delivers process excellence, performance intelligence, procurement optimization, and account enablement s is not a technology role, product role or a chatbot administrator. This is a process enabler someone who leverages available technologies, tools and AI agent systems that make the team measurably faster, teaches the team to use them and enables scalability.
The role requires deep collaborative partnerships with the Digital Transformation Enablement & Optimization team, Process Excellence team, Operations, JLL Technologies (JLLT), Sourcing & Procurement, Finance, JLL Business Services (JBS), and other critical work streams. Success depends on understanding existing business processes deeply enough to identify the highest-leverage automation opportunities and working cross-functionally to deploy solutions that integrate seamlessly into daily operations.

Key responsibilities include:

AI Automation Engineering for Workplace Processes
Workplace Platform Acceleration via Systems Integration (MCP & APIs)
Cross-Functional Collaboration & Process Acceleration
Team AI Capability Development & Knowledge Transfer
AI Technology Scouting, Governance & Risk Management
Required qualifications include:
Minimum 5+ years of experience in software engineering, automation engineering, or AI/ML engineering with a focus on enterprise applications.
Demonstrated hands-on proficiency with Claude Code or equivalent LLM-based coding agents in a production environment.
Proven track record of building and deploying AI agent systems and automated workflows that integrate with enterprise platforms.
Strong working knowledge of APIs, Model Context Protocol (MCP), REST integrations, and enterprise data pipeline design.
Ability to work independently own projects end-to-end from scoping through deployment and iteration, with minimal oversight.
Strong communication skills able to explain AI systems to non-technical stakeholders clearly and without jargon, and translate business needs into technical specifications.
Preferred experience includes:
Experience in facilities management, workplace management, integrated facility services, or real estate operations strongly preferred.
Familiarity with Corrigo, Service Now, or other CMMS/IWMS platforms used in FM operations.

Experience with Power BI, SharePoint, and Microsoft 365 ecosystem integrations.
Prior work with Operations, Sourcing & Procurement, Finance, or JLL Business Services (JBS) operations.
Knowledge of enterprise AI governance, data privacy, and responsible AI deployment practices in regulated or client-facing environments.
Background in process improvement methodologies (Lean, Six Sigma) or change management frameworks (Prosci/ADKAR, Kotter).
Core competencies include:
Builder Mindset: delivers working systems, not slides. Measures success by what is deployed and used, not what is planned. Biased toward action and iterative delivery.
Technical Depth + Business Acumen:
Understands both the code and the operational context can sit in a Process Excellence meeting, a Procurement review, or a Finance reconciliation session and immediately identify what to automate.

Cross-Functional Collaboration:

Thrives in matrix environments. Builds strong partnerships with Digital Transformation Enablement, Process Excellence, JLLT, Sourcing & Procurement, Finance, JBS, and account operations teams. Naturally coordinates across silos to deliver shared outcomes.
Teaching & Influence:
Knows that real leverage comes from making the whole team more capable spends as much energy sharing knowledge and enabling self-service as building systems. Creates multiplier effects through documentation, training, and reusable templates.
Structured Problem-Solving:
Prioritizes ruthlessly. With unlimited automation opportunities and finite time, picks the highest-leverage problems (hours saved team size affected) and works them to completion before moving on.
Bias for Reliability:
Builds systems that the team can trust not impressive demos that break in production. Prioritizes simplicity, documentation, graceful failure handling, and governance alignment. Understands that operational teams need automation they can depend on daily.
Forward-Thinking & Proactive:
Anticipates where workplace processes are heading…