Enterprise AI Director

Role Overview

• Define and maintain an enterprise AI vision, strategy, and 12-24 month roadmap aligned to Atlas business goals (growth, margin, safety, quality, and client experience).
• Lead use-case intake, value sizing, prioritization, and sequencing across the enterprise; maintain a transparent portfolio with KPIs and financial impact tracking.
• Establish AI product patterns (e.g., knowledge assistants, document automation, reporting copilots) to accelerate repeatable delivery.
• Operationalize an AI governance model for approvals, exceptions, and risk acceptance in partnership with ELT, Legal, Privacy, HR, and IT.
• Define policies and controls for acceptable use, data handling, model selection, third-party AI, and human-in-the-loop requirements.
• Implement model and solution risk assessments (privacy, security, bias, explainability, IP, regulatory) and ensure audit-ready documentation.
• Own the enterprise AI reference architecture (approved patterns for LLM apps, RAG, integrations, and monitoring).
• Stand up and govern AI platform capabilities (identity/access, data connectors, model gateways, logging, evaluation, monitoring, and incident response).
• Partner with IT teams to ensure reliability, scalability, and cost controls for AI workloads and vendors.
• Lead cross-functional delivery teams to build, test, and deploy AI solutions into production with clear success criteria.
• Create training, communications, and playbooks to drive adoption; build an AI champions network across regions and business lines.
• Establish and track adoption metrics (active users, usage frequency, satisfaction, time saved) and change management effectiveness.
• Evaluate vendors, negotiate contracts/SLAs, and manage renewals in partnership with Procurement and Legal.
• Build and manage the AI budget (run vs. grow), including ROI tracking, cost optimization, and chargeback/showback where appropriate.
• Maintain a vendor risk program for AI tools, including security reviews and ongoing monitoring.
• Build and lead a high-performing enterprise AI team (product, engineering, data, governance) and/or a federated delivery model.
• Set standards for delivery quality, documentation, and engineering excellence; establish career paths and hiring plans as maturity increases.
• Foster a culture of responsible innovation: fast learning, measurable value, and disciplined risk management.

Requirements

• 10+ years of experience in technology leadership, security, data, or digital transformation, including 5+ years leading high-performing teams and programs.
• Demonstrated experience delivering enterprise platforms or products with measurable business outcomes (cost savings, throughput, quality, or revenue).
• Working knowledge of modern AI concepts and enterprise patterns (LLMs, prompt engineering, retrieval-augmented generation, evaluation, monitoring, and model risk controls).
• Experience establishing governance and controls in regulated or risk-sensitive environments (privacy, security, compliance, third-party risk).
• Strong executive communication skills; ability to influence senior leaders and build alignment across business lines.

Benefits

• Health & Wellness: We offer medical, dental and vision coverage with multiple plan options, including no-cost employee-only medical coverage.
• Time Off & Family Support: We offer vacation time, paid holidays, sick & safety leave (SSL) and paid parental leave.
• Retirement: We help employees plan for the future with a 401(k) and company match.
• Insurance: To provide protection and peace of mind, we offer Life, AD&D (Accidental Death & Dismemberment) and Disability insurance.
• Safety Program: We are committed to safety as part of our quality of life core value, and we provide approved PPE at no cost and reimbursement for prescription safety glasses and protective footwear.
• Learning & Development: We provide clear career paths, learning resources and development programs allowing you to see how you can grow and advance within the company. We offer internal certifications on specific skills and support external credentials through tuition reimbursement.
• Belonging: We support Employee Communities (ECs), voluntary, employee-led groups that create connections, belonging and shared purposes.
• Flexibility: May vary by project demands and regional workloads, but we are committed to providing reasonable accommodation to help employees manage their personal and professional responsibilities.