About this opportunity
Jobtailor lists this Director, Enterprise AI Governance opportunity in spring, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Provide strategic leadership to a team of managers and top contributors in engineering solutions, aligning with business goals and technology roadmaps
Optimize processes for value, quality, and productivity while overseeing resource allocation and budgets
Collaborate across functions, communicate status, influence decisions, and manage outsourced partnerships
Champion process improvement and cost-reduction initiatives while ensuring adherence to standards and nurturing team growth
Lead AI Digital strategy, portfolio prioritization, governance cadence, funding guardrails, executive reporting, and coordination across federated teams, steering committees, and delivery groups
Own GitHub Copilot caps, credits, user tier organizations, model and feature controls, access, alerts, exceptions, and automation
Administer OpenAI/ChatGPT/Codex provisioning, support, credits, attribution, and cost controls
Lead Microsoft 365 Copilot and Copilot Studio licensing, agent governance, environments, knowledge-source controls, credit visibility, and administration
Establish L1 ownership, cost center mapping, chargeback, allocation rules, budget thresholds, usage reporting, and Finance/Procurement operating reviews across AI products
Operate the Digital AI Nerve Center for use case submission, qualification, security/privacy review, stage gates, prioritization, funding, delivery handoff, risk escalation, and benefits realization using ServiceNow workflows where applicable
Manage Microsoft, OpenAI, GitHub, AWS, ServiceNow, Deloitte, and other partners
Coordinate AI SDLC work, hackathons, pilots, and adoption programs as one governed portfolio
Build monthly dashboards covering adoption, spend, capacity, concentration, exceptions, risk, delivery status, and realized value
Requirements
Four-year or Graduate Degree in Mechanical Engineering, Electrical Engineering, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence
Typically has 12+ years of job-related and/or management experience, preferably in engineering design, engineering design tools and software packages, or a related field
Progressive experience in AI strategy, governance, administration, platform operations, or technology portfolio management
Experience with SaaS, cloud, developer, productivity, and generative AI platforms
Experience with FinOps, licensing, budgeting, consumption management, and chargeback
Strong experience with demand intake, stage gates, value tracking, security, privacy, responsible AI, risk, compliance, executive communication, vendor management, and enterprise transformation
Preferred background in GitHub Enterprise/Copilot, OpenAI Enterprise/ChatGPT/Codex, Microsoft 365 Copilot/Copilot Studio, ServiceNow demand management, AI Control Tower, AI SDLC, and executive dashboarding
Core Competencies
Demonstrates expertise in AI Strategy, Governance, and Administration, with a strong focus on process optimization, resource allocation, and cross-functional collaboration. Proficient in managing technology portfolios, budgeting, and vendor relationships while ensuring compliance and risk management.
Highest-signal resume keywords
AI Strategy
Governance
Budgeting
Vendor Management
Process Optimization
Hard Skills
Engineering Design
AI Digital Strategy
Generative AI Platforms
FinOps
Demand Intake
Value Tracking
Security Compliance
Risk Management
Executive Communication
Enterprise Transformation
Soft Skills
Leadership
Collaboration
Influencing Decisions
Team Growth Nurturing
Communication
Industry Keywords
SaaS
Cloud
Productivity Platforms
Generative AI
AI SDLC
Tools & Technologies
GitHub Copilot
OpenAI
ChatGPT
Microsoft 365 Copilot
ServiceNow
AWS
Deloitte
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Worksite address
spring, TX, 77391, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.