Define and execute the roadmap for AI-enabled ERP capabilities
Identify opportunities to embed AI/ML into ERP workflows
Drive incremental transformation toward intelligent systems
Partner with leadership to align initiatives with business priorities
Own engineering health, delivery, and technical direction for the ERP platform
Lead and grow the ERP engineering team
Set pragmatic standards for legacy systems
Balance modernization with stability
Act as escalation point for critical production issues
Support development of AI/data capabilities across the product suite
Guide data pipelines and model integration
Ensure governance, security, and compliance for AI systems
Evaluate and recommend third-party AI tools
Own system reliability with 24/7 expectations
Lead incident response and root-cause analysis
Define on-call processes and reduce operational risk over time
Own the Azure ERP environment
Ensure best practices for disaster recovery, backups, and patching
Drive infrastructure automation improvements
Support cloud and SaaS evolution
Act as senior technical leader across engineering and product teams
Collaborate closely with Product, Support, and Leadership
Mentor and develop the engineering team
Requirements
Proven experience in a senior engineering leadership role overseeing ERP or other mission-critical enterprise systems
Hands-on exposure to AI/ML initiatives with the ability to translate technical capabilities into measurable business value
Understanding of how AI can be applied in enterprise software contexts
Demonstrated track record of shipping AI systems into production that deliver real outcomes (revenue growth, cost reduction, efficiency gains) — not just internal experiments or prototypes
Experience with legacy system modernization while maintaining stability for existing customers
Strong background in cloud infrastructure, preferably Microsoft Azure
Excellent communication and cross-functional collaboration skills