SeniorManager-EnterpriseAITransformation

QAD is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. At QAD, we help customers transform and innovate through modern cloud platforms, data-driven insights, and AI-enabled solutions. Our Engineering organization plays a critical role in delivering resilient, scalable, and high-quality platforms that power customer success worldwide. The Senior Manager - 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. Key responsibilities Enterprise AI leverage roadmap * 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. Governance and operating model * 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. Reference architecture and AI stack coordination * Coordina