M

Mark III Construction

Director of AI

Business OperationsUpdated on Nov 7
Full-timeMcClellan Park, CA, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Business, Engineering, Data Science, or a related field is required; an equivalent combination of education and experience may be considered.
  • At least 7 years of progressive experience in AI, automation, technology, digital transformation, data analytics, or a related field is required.
  • Demonstrated experience leading enterprise-wide AI, automation, or technology transformation initiatives is required.
  • Experience identifying business problems and translating them into practical AI or automation solutions is required.
  • Experience working across multiple business functions and influencing leaders without direct authority is required.
  • Experience evaluating, selecting, implementing, and managing technology vendors and AI solutions is required.
  • Experience developing business cases and measuring ROI, cost savings, productivity improvements, and other business outcomes is required.
  • A strong understanding of current AI technologies, including generative AI, machine learning, automation, AI-enabled business applications, and emerging AI tools is required.
  • The ability to evaluate AI technologies based on business value, feasibility, security, cost, risk, and scalability is required.
  • Understanding of AI governance, data privacy, information security, vendor risk, and responsible AI practices is required.
  • The ability to understand technical concepts and translate them into practical business applications for non-technical leaders is required.
  • Demonstrated ability to develop and execute a company-wide AI strategy and roadmap is required.
  • Strong project and change-management skills, including the ability to drive adoption among employees with varying levels of technical proficiency, are required.
  • The ability to lead cross-functional committees, working groups, pilots, and implementation teams is required.
  • Strong communication and presentation skills, including the ability to communicate AI strategy and value to executive leadership, are required.
  • Strong analytical and problem-solving skills are required.
  • The ability to prioritize initiatives based on business impact, feasibility, cost, and risk is required.
  • Demonstrated ability to manage competing priorities and move initiatives from concept through implementation and measurable results is required.
  • Strong vendor negotiation, contract, licensing, and budget-management skills are required.

Responsibilities

  • Develop and maintain a company-wide AI strategy and roadmap aligned to business goals.
  • Chair the AI Committee, with cross-functional representation from MEP, Service, Manufacturing, VDC, Business Development, Estimating, and Finance.
  • Enforce AI governance policies covering acceptable use, data privacy, vendor risk, and model/tool approval processes.
  • Own the build-versus-buy-versus-partner decision framework for AI tools and vendors.
  • Work directly with department leaders to identify pain points and high-ROI AI or automation opportunities, including estimating takeoffs, VDC clash detection, prefab optimization, service dispatch, AR/collections forecasting, and proposal generation.
  • Prioritize use cases based on impact, feasibility, and cost.
  • Run structured pilots with clear success and failure criteria before scaling.
  • Lead deployment of approved AI tools and workflows in partnership with IT for technical execution and department champions for adoption.
  • Build training programs and internal documentation to drive adoption and reduce shadow IT and unsanctioned tool use.
  • Manage change resistance during AI rollouts in a field-heavy, non-union trades organization.
  • Evaluate emerging AI vendors and tools relevant to construction, MEP, manufacturing, and finance.
  • Manage AI-related vendor contracts, licensing, and budget in coordination with Finance and Procurement.
  • Maintain awareness of competitive and industry AI adoption trends in construction technology.
  • Partner with the IT Support Manager on data security, access controls, and infrastructure needs for AI tools.
  • Ensure AI tool usage complies with client contracts, data confidentiality obligations, and regulatory considerations, including data center and medical client sensitivity.
  • Monitor and mitigate risks around AI hallucinations or errors in customer-facing or safety-related outputs.
  • Report AI initiative status, ROI, and roadmap to the CFO and executive leadership on a regular cadence.
  • Translate technical AI capability into business-language value propositions for non-technical stakeholders.
  • Document amounts saved or costs saved from implemented AI strategies and develop a scorecard indicating how the company is winning by utilizing AI strategies.

Desired Qualifications

  • Familiarity with AI applications within construction, MEP, manufacturing, VDC, estimating, service, business development, or finance is highly desirable.

About the Company

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