Change Specialization Lead driving AI and ERP transformation strategies, commercialization, and adoption. Partnering with executive leaders to influence transformation and market growth.
About the role
- Director of AI & ERP Systems at Demandbridge focusing on AI-enabled ERP solutions and engineering leadership for B2B software. Drive operational excellence and innovation in critical systems.
Responsibilities
- 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
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