Director, Data Engineering & AI

The Director, Data Engineering & AI Enablement is the senior-most technical leader and active builder for the data engineering and artificial intelligence capability supporting the Facilities Management line of business. This is explicitly not a role defined by supervision alone — the person in this seat is expected to personally design, build, and ship production systems (pipelines, models, and AI applications) while also setting the technical strategy and leading the team that scales that work. The Director operates at two altitudes at once: deciding where the AI/ML roadmap and data architecture should go, and getting directly into the work — writing code, prototyping, and solving the hardest, highest-ambiguity problems personally — especially in the early stages of a new initiative, before it's handed off to the broader team. The data surface this role owns spans the full breadth of the business — financial data, labor and workforce data, IoT and smart building sensor data, employee work and activity data, and client/operational data — not any single domain. The role also carries overarching technical oversight of enterprise data architecture standards and governance, ensuring all engineering and AI solutions align with enterprise data principles. The Director manages a cross-functional team of data engineers, ML engineers, data scientists, data architects, and BI developers.