Lead Celigo Developer & AI Automation Lead

• Celigo Architecture & Development

• Design, build, deploy, and support Celigo integrations across NetSuite and connected enterprise platforms.

• Define Celigo standards for flow design, mapping patterns, transformation logic, error handling, retries, monitoring, alerting, and ownership boundaries.

• Drive platform simplification by reducing fragile flows, duplicate logic, unnecessary customization, and integration technical debt.

• Lead architecture decisions for point-to-point integrations, reusable patterns, APIs, webhooks, and event-driven designs.

• Enterprise Integration Governance

• Establish integration standards aligned with industry best practices for reliability, observability, security, maintainability, and operational supportability.

• Partner with Product Management and the Senior NetSuite Systems Architect to translate roadmap initiatives into scalable integration designs.

• Document integration patterns, runbooks, escalation paths, and support procedures.

• Ensure data stewardship and business ownership are clearly defined across connected systems.

• NetSuite & Operational Systems Integration

• Lead integrations across NetSuite, eCommerce, WMS/3PL, EDI, tax, customer, finance, and adjacent operational systems.

• Improve integration reliability across order-to-cash, procure-to-pay, inventory, fulfillment, returns, and financial operations.

• Partner with business teams to identify recurring integration failures and address root causes rather than symptoms.

• Ensure integration designs support global operations, multi-subsidiary requirements, auditability, and operational scale.

• AI & Intelligent Automation

• Evaluate, recommend, and help implement practical AI-enabled automation opportunities across integration monitoring, exception handling, reconciliation, reporting, and operational decision support.

• Partner with teams working on AI capabilities to ensure automation involving ERP or operational systems is secure, auditable, and appropriately governed.

• Help define patterns for AI agents or assistants that interact with enterprise data while respecting role-based permissions, human approval requirements, and audit controls.

• Distinguish between high-value AI automation opportunities and areas where deterministic workflows, human review, or traditional integration patterns are more appropriate.

• Operational Excellence & Production Support

• Create monitoring dashboards, alerting frameworks, and operational runbooks for critical integrations.

• Lead troubleshooting for complex production issues involving data, mappings, source systems, target systems, timing, permissions, or business process breakdowns.

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Define service expectations and incident response practices for business-critical flows.

• Continuously improve integration observability, supportability, and recovery processes.

• Leadership & Enablement

• Mentor developers, analysts, and administrators on integration best practices and support patterns.

• Lead technical design reviews and recommend solutions aligned to industry best practices and long-term maintainability.

• Communicate clearly with technical and non-technical stakeholders.

• Create clear documentation so integration knowledge is institutional rather than tribal.