Director Enterprise AI Governance

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.

Complexity
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.

The pay range for this role is $174050 to $275000 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.

Job -

Engineering

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

Relocation -

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 HPs EEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal

Required Experience:

Director