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AI Strategy & Operations Advisor

GHJ

Role at a glance

Category: AI Governance
Work arrangement: Hybrid
Location: Los Angeles, CA
Posted: Jun 13, 2026

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GHJ is hiring a AI Strategy & Operations Advisor in Los Angeles, CA. This is a AI Governance role in the governance, risk, and compliance field. Review the full details below and apply directly with GHJ.

GHJ, an advisory and accounting firm, is hiring an interim AI Strategy & Operations Advisor to help clients transform their AI strategy into practical reality. As a hands-on advisor, you guide organizations in building the infrastructure, governance structures, and workflows needed to achieve measurable returns on AI investments. Responsibilities include evaluating current AI maturity, tools, and workflow gaps; creating AI operationalization roadmaps with milestones and metrics; establishing governance frameworks covering data access, model oversight, and risk management; identifying high-ROI AI applications in finance, accounting, and operations; designing new workflows; and serving as a strategic advisor to senior leadership. This is an interim/contract engagement based in Los Angeles (hybrid), paying $150-$200 per

Full responsibilities and requirements are on GHJ's application page.

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About GHJ

Hiring for governance, risk, and compliance roles on GRC Careers.

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Location and market context

This role is based in Los Angeles, CA on a hybrid schedule. Local candidates benefit from being close to GHJ's teams and regional hiring market, while the hybrid arrangement offers some flexibility. Confirm the exact in-office expectation and any relocation support with the employer.

About AI governance roles

AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.

How to position yourself for this AI governance role

Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how GHJ would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.