Director - Enterprise AI Transformation

QAD

20h • Remote

About The Position

The Director - Enterprise AI Transformation will lead the internal AI leverage agenda across QAD by translating company-level productivity goals into a governed, prioritized, and measurable AI transformation roadmap. The person will own the overall operating model for internal AI adoption: prioritization, governance, reference architecture coordination, usage controls, value tracking, and execution cadence. They are not a PMO lead. They are the person who ensures AI moves from fragmented functional experimentation into scalable, governed execution.

Requirements

• 8-15+ years of experience in digital transformation, AI transformation, enterprise automation, product management, technology strategy, operations transformation, or consulting.
• Experience working across business and technology teams.
• Strong understanding of enterprise systems, data architecture, workflow automation, and AI/agentic tools.
• Able to work directly with CFO, CHRO, COO, CRO, Engineering, IT, and functional leaders.
• Strong enough to challenge functions constructively.
• Pragmatic build-vs-buy mindset.
• Comfortable with ambiguity, executive communication, and measurable value capture

Responsibilities

• Own the enterprise internal AI leverage roadmap across functions and BUs.
• Prioritize use cases based on value, feasibility, functional readiness, data readiness, and risk.
• Translate executive priorities and external diagnostic outputs into executable implementation waves.
• Maintain a clear view of what is already underway, what should be accelerated, what should be stopped, and what requires leadership decision.
• Define the internal AI governance model in partnership with IT, Data, Engineering, InfoSec, Legal, Procurement, and functional leaders.
• Establish use-case intake, prioritization, approval, and escalation processes.
• Create a risk-tiered governance approach: fast-track low-risk use cases, structured review for medium-risk use cases, and formal approval for high-risk / sensitive-data use cases.
• Ensure the team enables adoption without becoming a bureaucratic PMO.
• Coordinate the internal AI reference architecture across approved tools, data sources, enterprise systems, workflow layers, and governance controls.
• Work with IT/Data/Engineering to define standard patterns for connecting AI tools to systems and datasets.
• Help define when QAD should buy, configure, integrate, or selectively build.
• Prevent fragmented functional AI stacks and unmanaged shadow AI deployments.
• Define operating controls for tools such as Claude, Gemini, ChatGPT Enterprise, BigQuery, Workday AI, Salesforce/Agentforce, Glean, and other internal AI capabilities.
• Establish usage tracking across users, functions, use cases, tokens/credits, spend, and adoption.
• Partner with Finance and IT to manage spend, license allocation, and value-for-money.
• Ensure access rights, data permissions, and restrictions are aligned with InfoSec and data governance requirements.
• Track delivery progress, adoption, productivity impact, financial value, and risks across the AI leverage portfolio.
• Define standard metrics for each initiative: baseline, target, adoption, usage, productivity, quality, cycle time, and financial impact.
• Prepare leadership updates, decision materials, and board-ready summaries where needed.
• Ensure pilots have clear success criteria and can either scale, pivot, or be shut down quickly.
• Lead Functional AI Enablement Leads and AI/Data Integration Engineers.
• Set standards for workflow design, agent requirements, documentation, testing, adoption, and value tracking.
• Coach the team to operate as hands-on execution partners, not meeting schedulers or project-plan chasers.

Benefits

• Programs that help you strike a healthy work-life balance.
• Opportunity to join a growing business, launching into its next phase of expansion and transformation.
• Collaborative culture of smart and hard-working people who support one another to get the job done.
• An atmosphere of growth and opportunity, where idea-sharing is always prioritized over level or hierarchy.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed