Principal Enterprise AI Governance

JOB DESCRIPTION:

Position: Principal Enterprise AI Governance

Location: Irving, TX (Onsite)

Duration: 12+ Month Contract

AI Governance Specialist to establish, scale, and oversee the governance framework for enterprise-wide Generative AI and autonomous agent initiatives.

In this role, the resource will bridge the gap between technical execution and corporate compliance.

Resource will design guardrails for cutting-edge LLM platforms while proving financial and operational business value directly to executive leadership.

Key Responsibilities

AI Risk, Compliance & Responsible AI

• Design and enforce the enterprise-wide Responsible AI framework, ensuring ethical alignment, bias mitigation, and transparency.
• Establish comprehensive risk assessment protocols for Generative AI, Large Language Models (LLMs), and multi-agent systems.
• Ensure strict compliance with evolving global AI regulations, data privacy mandates, and corporate legal requirements.

Autonomous Agent & Data Governance

• Define policy and architectural boundaries for autonomous AI agents, including tool-execution permissions and escalation protocols.
• Architect data governance strategies specifically tailored for AI training, fine-tuning, and retrieval-augmented generation (RAG).
• Manage access controls, model version ownership, and secure API data exchange between enterprise systems.

Value Realization & Financial Performance

• Develop methodologies to quantify and track the Return on Investment (ROI) for enterprise AI deployments.
• Identify key performance indicators (KPIs) to measure efficiency gains, cost reductions, and revenue generation from GenAI initiatives.
• Monitor token usage efficiency and compute costs to drive optimization without sacrificing model quality.

Executive Reporting & Enterprise Transformation

• Translate complex AI technical risks and performance metrics into clear, actionable executive-level dashboards.
• Advise C-suite leadership and board members on strategic AI risks, maturity roadmaps, and competitive alignment.
• Drive organizational change management to cultivate an AI-ready, compliance-first corporate culture.

Required Experience & Technical Familiarity

• 12 plus years of work experience
• GenAI Expertise: Deep conceptual understanding of LLM architectures, fine-tuning, RAG frameworks, and autonomous multi-agent lifecycles.
• Governance Tools: Hands-on experience with AI governance software, automated model monitoring platforms, and risk management suites.
• Data Privacy: Proven track record handling enterprise data protection, lineage mapping, and intellectual property guardrails in cloud environments.
• Strategic Communication: Elite presentation skills with a history of delivering complex regulatory and financial reports to senior executives.