AI Adoption & Governance Manager

Hazen and Sawyer•Los Angeles, CA
•Hybrid

About The Position

Hazen and Sawyer is seeking an AI Adoption & Governance Manager to lead the day-to-day support, adoption, and governance of the firm’s AI tools. The role covers enterprise assistants such as Copilot and Claude, AI features in engineering and design software, and internal automations. Reporting directly to the Director of Information Technology, the manager connects IT, project teams, and leadership to help staff use AI productively, safely, and in accordance with firm policy. The position partners closely with senior IT staff and Design Technology to build on existing workflows and system requirements and shape firm-wide AI support. The role is intended to help make AI a confident, productive, and safe part of work across every office and practice group, while ensuring support, training, and governance keep pace as technology and business needs evolve. The successful candidate will be adaptable, responsive, comfortable reprioritizing, and able to work effectively with teams. Occasional travel may be required. The position is hybrid, with three days in the office. Hazen and Sawyer is an employee-owned engineering firm founded in 1951, focused on water-related environmental infrastructure, including water, wastewater, and stormwater management. The company has over 2,000 employees and more than 70 offices in the United States, Latin America, Canada, and the UK.

Requirements

  • Bachelor’s degree in IT, Computer Science, Engineering, or a related field, or equivalent experience.
  • At least 7 years in IT support, systems administration, or digital enablement, including at least 3 years leading people or programs.
  • A record of driving technology adoption or organizational change.
  • Hands-on administration of enterprise AI platforms such as Copilot, Claude, or similar, and M365 tools including Entra ID, Purview, and SharePoint/Teams.
  • Working knowledge of LLM concepts, prompt design, data privacy, and AI risk frameworks such as NIST AI RMF.
  • Strong training and communication skills, including the ability to explain technical limitations to non-technical staff.
  • Ability to thrive in a fast-changing environment, respond and adapt, and reprioritize quickly as needs shift.
  • Ability to work well in a team environment, prioritize and execute tasks effectively, and learn and develop new skills.

Nice To Haves

  • AEC or engineering industry experience.
  • ITIL certification.
  • Scripting or low-code skills, such as Power Automate or Python.

Responsibilities

  • Own the support model for enterprise AI tools, including intake, triage, escalation paths, knowledge base, and service levels, in coordination with the Helpdesk Manager.
  • Administer AI platforms, including licensing, user provisioning, connectors and integrations, usage monitoring, and cost tracking.
  • Approve AI tools, pilots, integrations, and configuration changes within firm policy; escalate to the Director of Information Technology when risk, cost, or a policy exception requires it.
  • Run adoption and training activities, including onboarding sessions, prompt libraries, office hours, and a champions network across offices and practice groups.
  • Partner with Design Technology on AI in engineering workflows, including BIM/CAD, GIS, modeling, and document production, and evaluate new tools.
  • Monitor AI tools and features, including Copilot, Claude, and AI in engineering software; assess their impacts and opportunities and adapt support and guidance as technology evolves.
  • Administer and uphold AI governance in partnership with the Director of Information Technology, including acceptable-use policy refinement, data classification, vendor security reviews, and records retention for AI outputs.
  • Collect business use cases, prioritize them, and pilot automations or agents that deliver practical value to project teams and the business.
  • Report to IT leadership on AI tool usage, what is working, and relevant risks and opportunities.
  • Supervise or mentor AI support analysts and coordinate with external vendors.
  • Travel occasionally as required.

Benefits

  • Comprehensive medical, dental, vision, and prescription health benefits.
  • Pre-tax flexible spending plans for medical, dependent care, and transportation.
  • Short- and long-term disability insurance and employer-paid life insurance.
  • Paid holidays, floating holidays, and paid time off (PTO).
  • Employer-contributed 401(k) plan and additional financial planning support.
  • Tuition reimbursement, in-house training, and incentives for professional registration and professional organization memberships.
  • Flexible hybrid work schedule.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service