We've built technology that's transforming how manufacturers operate. Now, we're transforming how Our systems work. But successful transformation is less about the tools themselves and more about execution discipline: process definition, data integrity, governance, cross-functional coordination, and change management. We're looking for a technology leader who understands that enterprise transformation requires both strategic vision and operational rigor. Someone who can own the execution of complex change initiatives while building the architectural foundations that enable AI-augmented operations and long-term scalability. This role is about delivering clean implementations, establishing governance, partnering across Finance, Operations, and Sales to formalize workflows—and simultaneously architecting systems that position us for an AI-driven future. If you're execution-focused, deeply collaborative, understand enterprise architecture, and get energized by building the foundations for transformative technology—this is your opportunity to lead. Own Enterprise Change Execution and Delivery Lead the execution of ERP initiatives, maintaining tight ownership of scope, data structures, integrations, and controls Partner closely with Finance, Operations, and Sales leadership to formalize business processes, document workflows, and establish governance before automation Own technology change enablement including system adoption, user readiness, training, and cross-functional coordination across enterprise platforms Actively bridge vendor limitations translating business requirements into executable system design and practical solutions Manage implementation timelines, budgets, vendor relationships, and stakeholder communication to deliver clean, on-time results Establish accountability frameworks for technology-driven change, ensuring clarity on ownership, deliverables, and success metrics across initiatives Build Integration Architecture and Data Foundations Ensure architectural decisions today to support AI-augmented operations—building the foundation before deploying advanced capabilities Design and deliver Salesforce integrations with ERP, creating unified data flows across sales, operations, and finance Build API-first architectures that connect enterprise platforms (ERP, CRM, BI, e-commerce) while maintaining data integrity and enabling future extensibility Establish data governance frameworks including master data management, data quality standards, and cross-system reconciliation processes Create integration architectures that expose clean interfaces for AI and automation capabilities as the organization evolves Position for AI-Augmented Operations Partner with leadership to articulate the vision for AI-driven scalability, where autonomous agents execute repeatable workflows and humans focus on supervision and strategy Identify high-impact use cases where AI automation can assume execution-layer responsibilities once proper data and process foundations are in place Design systems architecture that enables future AI agent integration with ERP and CRM platforms through well-defined APIs and orchestration layers Stay current on emerging AI technologies through self-directed learning, vendor partnerships, and industry engagement—preparing the organization for intelligent automation when foundational systems are ready Lead Through Collaboration and Operational Partnership Serve as a hands-on, execution-focused leader who actively participates in critical operational workflow evaluations alongside business teams Build and mentor an IT team capable of managing enterprise systems, supporting change initiatives, and developing integration capabilities Translate complex technical concepts into clear business value for executive stakeholders and cross-functional partners Manage IT strategy, budgets, vendor contracts, and service delivery to optimize ROI and align with organizational priorities Establish governance frameworks for technology deployment including security, compliance (GDPR/KVKK), audit trails, and risk management
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Job Type
Full-time
Career Level
Director
Education Level
No Education Listed