Lead Digitalist – Manufacturing Digital Transformation

The Lead Digitalist, Manufacturing Digital Transformation is an individual contributor responsible for executing digital transformation initiatives across manufacturing operations through process digitization, Industry 4.0 technologies, smart factory initiatives, data-driven decision-making, and AI-powered operational excellence. The role works in close partnership with Manufacturing Operations, Engineering, Quality, Supply Chain, Information Technology, Data Engineering, and AI teams to identify operational improvement opportunities, design future-state digital capabilities, and support deployment and adoption of transformational technologies across manufacturing facilities.

The position combines manufacturing domain expertise, business process transformation capabilities, enterprise systems knowledge, data literacy, and AI enablement skills to advance traditional manufacturing operations toward connected, intelligent, and scalable operations — integrating Oracle ERP, manufacturing systems, quality, supply chain, engineering, data platforms, and AI into a unified operational foundation.

• Manufacturing Transformation & Smart Factory - Analyze current-state manufacturing processes, conduct value stream mapping, design future-state operating models, identify bottlenecks, support process standardization across facilities, and contribute to Smart Factory and Industry 4.0 roadmaps and business cases.

• Industry 4.0 & Digital Platform Enablement - Support design and implementation of the digital manufacturing ecosystem across Oracle EBS, MES, SCADA, PLC integration, Industrial IoT, edge computing, quality management systems, and workflow automation platforms. Contribute to real-time manufacturing visibility, digital work instructions, paperless manufacturing, predictive maintenance frameworks, and digital twin capabilities.

• Data, Analytics & AI Enablement - Support manufacturing master data governance, equipment and production data standards, sensor data architecture, machine telemetry integration, product and process genealogy, and operational KPI frameworks. Implement predictive, generative, and agentic AI use cases in partnership with Data Engineering and AI teams.

• Solution Design & Transformation Delivery - Facilitate business workshops, document functional requirements, develop process maps and user stories, define acceptance criteria, execute UAT, support go-live readiness and hypercare activities, and measure benefits realization in partnership with Product Owners.

• Change Leadership & Workforce Enablement - Serve as the digital translator between operations and technology teams. Build relationships with plant personnel, support organizational change management, design intuitive operational workflows, and promote data-driven and continuous improvement practices.

Required Qualifications

• Bachelor's degree in Engineering, Information Systems, Operations, Supply Chain, Business, or a related field, or an equivalent combination of education and relevant experience.
• 5–12 years of experience in manufacturing operations, manufacturing systems, operational excellence, digital transformation, or Industry 4.0 initiatives, commensurate with level.
• Experience contributing to enterprise-scale transformation initiatives across multiple manufacturing facilities.
• Ability to work effectively across cross-functional teams and communicate with operational stakeholders.
• Hands-on experience with several of the following: Oracle EBS, MES platforms, SCADA systems, Industrial IoT, PLC integration, data lake house platforms, AI platforms.
• Working knowledge of manufacturing data models, data governance, master data management, predictive analytics, and manufacturing digital twins.
• Manufacturing Expertise: Lean Manufacturing, Six Sigma, production operations, quality systems, maintenance operations, production planning, manufacturing performance management, OEE improvement.

Preferred Qualifications: Medical device or FDA-regulated manufacturing experience; ISO 13485 environment experience; Industry 4.0 certifications; Lean Six Sigma Black Belt; industrial engineering background; smart factory implementation experience.