Director, AI-Enabled Workplace Process Automation

About the role

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.

Key Responsibilities

• Design and build AI (Claude or other) powered automations that eliminate high-friction manual steps across existing WPM workplace processes, including account performance brief generation, Corrigo data extraction and formatting, insight-to-action draft creation, process report automation, and recurring operational reporting.

• Develop autonomous workflows, agents, chatbots or similar for recurring operational tasks that currently consume significant team capacity across the Digital Transformation Enablement & Optimization team, Process Excellence team, and account operations.

• Partners with JLLT to build and maintain multi-agent orchestration systems for complex, multi-step workflows that span Corrigo work order management, other platforms, performance dashboards, SharePoint document libraries, and Microsoft Teams collaboration channels.

• Own the quality, reliability, and governance of all AI automation systems deployed across the team, ensuring solutions meet JLL's operational standards and client delivery expectations.

• Partners with JLLT as needed to implement Model Context Protocol (MCP) integrations connecting platforms like Corrigo, BI, SharePoint, Microsoft Teams, EDP, other enterprise platforms, used by WPM Transformation and account operations teams to accelerate existing workplace processes.

• Eliminate copy-paste workflows and manual data transfer between systems by building live, automated data pipelines that accelerate procurement workflows, finance reconciliation, compliance reporting, and operational performance tracking.

• Partner with JLL Technologies (JLLT), JLL Business Services (JBS), and enterprise teams to ensure solutions meet enterprise security, data governance, and compliance standards while maintaining operational reliability across client accounts.

• Maintain and evolve the integration layer as tooling and platform capabilities advance, ensuring automations remain aligned with JLLT roadmap priorities and emerging workplace technology standards.

• Cross-Functional Collaboration & Process Acceleration

  • Partner deeply with Process Excellence team to identify the highest-leverage automation opportunities within existing WPM process workflows — prioritizing based on impact, scalability, ROI, implementation feasibility and life-cycle sustainability.

  • Work closely with the Digital Transformation Enablement & Optimization team to automate repetitive elements of technology operational standards documentation, migration planning support, escalation triage, requirements documentation, UAT management, and training delivery workflows.

  • Collaborate with the Director, Performance Intelligence to automate insight generation, data extraction from Corrigo and BI, and client-facing performance report production — reducing cycle time from data pull to deliverable.

  • Partner with Sourcing & Procurement and appropriate workstreams to automate vendor performance tracking, MRO spend analysis, procurement compliance reporting, and sourcing request workflows.

  • Engage with Finance and JBS teams to automate invoice reconciliation, cost center reporting, budget tracking, and month-end close activities tied to WPM operations.

  • Map current-state manual processes across all partner workstreams and design future-state automated equivalents — quantifying the time and cost savings of each automation and building business cases for deployment.

  • Serve as the AI automation liaison across WPM Transformation functional areas, ensuring deployed solutions integrate seamlessly into existing operational cadences and governance structures.

• Team AI Capability Development & Knowledge Transfer

  • Act as the team's internal Claude expert and AI automation coach — run structured upskilling sessions for Global Digital Transformation Team.

  • Build a library of reusable prompts, agent templates, and automation playbooks that enable team members across Digital Transformation Enablement, Process Excellence, and partner functions to self-serve common AI-assisted tasks.

  • Document all automations with clear operating guides, troubleshooting protocols, and governance guardrails — enabling non-technical team members to use, modify, and troubleshoot deployed systems independently.

  • Track and report team AI adoption metrics — time saved, tasks automated, velocity improvement — to demonstrate ROI of the automation program to WPM Transformation leadership and JLLT stakeholders.

  • Foster a culture of AI-enabled process thinking across WPM Transformation, helping team members identify automation opportunities proactively and incorporate AI into their daily workflows.

• AI Technology Scouting, Governance & Risk Management

  • Stay current on rapidly evolving AI tooling and enterprise automation platforms as they emerge in 2026 and beyond.

  • Maintain an AI tool registry for the WPM Transformation team — documenting approved tools, use cases, governance guardrails, and risk mitigation protocols in alignment with JLL's responsible AI principles.

  • Partner with JLLT and enterprise governance teams to ensure all deployed AI systems meet data privacy, security, audit readiness, and client contractual requirements.

  • Flag risks and limitations of AI automation systems proactively — ensuring the team uses AI in ways that are accurate, auditable, compliant, and client-appropriate.

  • Conduct impact assessments for proposed AI deployments, documenting potential operational dependencies, failure modes, and rollback plans before production release.

Qualifications

• 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 — not just prompt engineering, but shipping systems others rely on.

• Proven track record of building and deploying AI agent systems and automated workflows that integrate with enterprise platforms (CMMS/IWMS, ERP, BI tools, collaboration platforms).

• Strong working knowledge of APIs, Model Context Protocol (MCP), REST integrations, and enterprise data pipeline design.

• Experience working in cross-functional, matrix environments — influencing without direct authority and coordinating across operations, technology, finance, and procurement teams.

• 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.