Director Enterprise AI Governance

Hewlett Packard Enterprise; Spring, Northern (TX, KY); Hybrid; USD 174,000 - 275,000; Full time

Job summary

Hewlett Packard Enterprise seeks a Director of Enterprise AI Governance to lead a team of managers and senior contributors, aligning AI work with business goals and technology roadmaps. The role drives cost efficiency, standards, and value across federated teams.

You will oversee governance cadences, budgets, and partnerships with OpenAI, GitHub, and Microsoft, delivering executive dashboards to track adoption and value while nurturing growth.

Qualifications

• Progressive AI leadership experience in governance, administration, and platform operations.
• Experience with SaaS, cloud, developer, and generative AI platforms, including FinOps and budgeting.
• Strong governance, risk, security, and executive communication skills.

Responsibilities

• Lead AI Digital strategy, portfolio prioritization, governance cadence, and executive reporting.
• Own platform licensing, access controls, cost controls, and vendor governance across AI tools.
• Establish budgeting thresholds, chargeback rules, and quarterly finance reviews for AI products.
• Coordinate use-case intake, security/privacy review, stage gates, and benefits realization.
• Manage partnerships with Microsoft, OpenAI, GitHub, AWS, and ServiceNow; drive AI SDLC and hackathons.
• Develop monthly dashboards to show adoption, spend, and value realization.

Skills

AI governance

Platform governance

FinOps

Vendor management

Executive reporting

Cross-functional leadership

Project management

Strategic thinking

Education

Bachelor's or Graduate Degree in Mechanical Engineering, Electrical Engineering, Computer Science

Tools

GitHub Copilot

OpenAI Enterprise/ChatGPT/Codex

Microsoft 365 Copilot/Copilot Studio

ServiceNow

AI Control Tower

Job description

Director Enterprise AI Governance Description

Job Summary

This role is responsible for providing strategic leadership to a team of managers and top contributors in engineering solutions, aligning with business goals and technology roadmaps. The role optimizes processes for value, quality, and productivity, overseeing resource allocation and budgets. The role collaborates across functions, communicates status, influences decisions, and manages outsourced partnerships. The role champions initiatives for process improvement and cost reduction, while ensuring adherence to standards and nurturing team growth.

Responsibilities

• Enterprise operating model: Lead AI Digital strategy, portfolio prioritization, governance cadence, funding guardrails, executive reporting, and coordination across federated teams, steering committees, and delivery groups.
• Platform governance: 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.
• Financial controls: Establish L1 ownership, cost center mapping, chargeback, allocation rules, budget thresholds, usage reporting, and Finance/Procurement operating reviews across AI products.
• Digital AI Nerve Center and intake: Operate the Nerve Center as the coordination point for use case submission, qualification, security/privacy review, stage gates, prioritization, funding, delivery handoff, risk escalation, and benefits realization, using ServiceNow workflows where applicable.
• Portfolio and partners: Manage Microsoft, OpenAI, GitHub, AWS, ServiceNow, Deloitte, and other partners; coordinate AI SDLC work, hackathons, pilots, and adoption programs as one governed portfolio.
• Measurement and value: Build monthly dashboards covering adoption, spend, capacity, concentration, exceptions, risk, delivery status, and realized value, distinguishing platform consumption from business outcomes.

Education & Experience Recommended

• 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.

Experience and Qualifications

• Enterprise AI leadership: Progressive experience in AI strategy, governance, administration, platform operations, or technology portfolio management.
• Platform and financial operations: Experience with SaaS, cloud, developer, productivity, and generative AI platforms, plus FinOps, licensing, budgeting, consumption management, and chargeback.
• Governance and influence: Strong experience with demand intake, stage gates, value tracking, security, privacy, responsible AI, risk, compliance, executive communication, vendor management, and enterprise transformation.
• Preferred background: GitHub Enterprise/Copilot, OpenAI Enterprise/ChatGPT/Codex, Microsoft 365 Copilot/Copilot Studio, ServiceNow demand management, AI Control Tower, AI SDLC, and executive dashboarding.

Cross-Org Skills

• Customer Centricity
• Prioritization
• Resilience
• Team Management
• Strategic Thinking

Impact & Scope

• Impacts multiple functions and may act as a lead to peers on cross-functional project teams working to establish and execute business goals.
• Contributes to the development of company objectives and achieves goals through subordinate high‑level individual contributors and managers.

Disclaimer

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job - Engineering Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation

Pay range for this role is $174,050 to $275,000 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job‑related knowledge, skills, and experience.

Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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