VP, ERP & Digital Manufacturing Solutions

Job Summary

The Vice President, ERP & Digital Manufacturing Solutions is a strategic technology executive responsible for defining, implementing, and optimizing the company’s global ERP platforms, software engineering capabilities, and digital manufacturing ecosystem. This role drives enterprise-wide transformation initiatives across ERP, Manufacturing Execution Systems (MES), Industrial Automation, Operational Technology (OT), Supply Chain Digitalization, Data Platforms, Artificial Intelligence (AI), and Smart Manufacturing capabilities.

Essential Duties and Responsibilities

• Define and execute the global ERP and Digital Manufacturing strategy aligned with business priorities, operational excellence goals, and enterprise transformation initiatives

• Lead the global SAP/ERP organization, including business process transformation, application delivery, support operations, governance, architecture, integrations, and continuous improvement initiatives

• Own the strategy and roadmap for digital manufacturing platforms including MES, SCADA, Historian systems, Industrial IoT, Automation Platforms, Advanced Analytics, and Smart Factory initiatives

• Lead global software engineering teams responsible for enterprise applications, manufacturing solutions, integrations, APIs, cloud-native platforms, and custom application development

• Establish modern software engineering practices including Agile, DevSecOps, CI/CD automation, platform engineering, test automation, release governance, and software quality management

• Drive enterprise application modernization initiatives leveraging cloud technologies, microservices architecture, API-first strategies, and scalable engineering frameworks

• Build engineering excellence through standardized development methodologies, code quality practices, architecture reviews, technical mentoring, and engineering performance metrics

• Partner with Manufacturing, Supply Chain, Quality, Engineering, Procurement, Finance, and Commercial leaders to optimize end-to-end business processes and drive digital innovation

• Lead enterprise-wide ERP modernization initiatives including SAP S/4HANA transformation, global template deployment, process harmonization, and master data governance

• Establish and govern enterprise architecture standards for ERP, manufacturing technologies, software platforms, and integrations ensuring scalability, security, reliability, and compliance

• Drive adoption of Industry 4.0 capabilities including predictive analytics, machine connectivity, AI/ML-enabled manufacturing insights, digital twins, intelligent automation, and advanced manufacturing technologies

• Lead the adoption and operationalization of Artificial Intelligence (AI), Generative AI, Machine Learning (ML), and advanced analytics capabilities across ERP, manufacturing, supply chain, quality, and enterprise operations

• Define and implement enterprise AI governance frameworks including responsible AI usage, model lifecycle management, data governance, security, compliance, and ethical AI standards

• Partner with leaders to identify and scale AI-driven use cases in predictive maintenance, intelligent automation, digital copilots, supply chain optimization, manufacturing insights, quality analytics, and knowledge management

• Oversee enterprise data engineering and integration capabilities required to support AI/ML platforms, advanced analytics, and digital manufacturing initiatives

• Ensure stable and secure 24x7 operations of global ERP, manufacturing systems, software platforms, and business-critical applications supporting manufacturing sites, distribution centers, laboratories, and global operations

• Lead integration strategies between ERP, MES, PLM, Quality Systems, Supply Chain systems, enterprise data platforms, and cloud ecosystems

• Collaborate with Cybersecurity and Infrastructure teams to ensure secure and compliant operational technology environments, enterprise applications, and manufacturing networks

• Build and develop high-performing global teams

• Manage technology vendors, software providers, system integrators, cloud partners, and external consultants to optimize delivery and value realization

• Communicate transformation progress, operational performance, risks, opportunities, and strategic roadmaps to executive leadership and business stakeholders

Education

• Required: Bachelors in Information Technology, Computer Science, Engineering, Business, or related discipline

• Preferred: Masters/MBA, Engineering, Information Systems, Computer Science, or related field

Work Experience

• Minimum 15+ years: Leadership experience in ERP, Enterprise Applications, Software Engineering, Manufacturing Systems, or Digital Transformation

• Minimum 10+ years: Leading large global technology organizations and enterprise transformation programs

• Extensive experience with SAP ERP platforms including S/4HANA and enterprise integration ecosystems

• Demonstrated success delivering large-scale ERP modernization and digital transformation programs

• Experience in regulated industries such as pharmaceuticals, medical devices, life sciences, or highly regulated manufacturing environments

Preferred Knowledge, Skills and Abilities

• Strong expertise in SAP ERP platforms including S/4HANA, Supply Chain, Manufacturing, Finance, Procurement, Warehouse Management, and Master Data Management

• Deep understanding of Manufacturing Execution Systems (MES), SCADA, Historian platforms, automation technologies, Industrial IoT, and Operational Technology environments

• Strong leadership experience managing global software engineering organizations and enterprise application development teams

• Deep understanding of software development lifecycle (SDLC), Agile methodologies, DevSecOps, CI/CD pipelines, automated testing, cloud engineering practices, and release management

• Experience with modern application architectures including microservices, APIs, event-driven architectures, containerization, and cloud-native development

• Experience leading enterprise AI and Generative AI strategy, implementation, governance, and operationalization

• Knowledge of AI/ML platforms, large language models (LLMs), intelligent automation, data science workflows, and enterprise AI integration patterns

• Experience implementing AI-enabled business solutions including copilots, predictive analytics, intelligent document processing, manufacturing analytics, and conversational AI platforms

• Knowledge of Industry 4.0 technologies including IoT, AI/ML, advanced analytics, robotics, predictive maintenance, digital twins, and smart manufacturing solutions

• Familiarity with enterprise cloud platforms such as Microsoft Azure, AWS, or Google Cloud, including AI and analytics services

• Strong understanding of enterprise integration technologies, middleware platforms, API management, and data engineering ecosystems

• Experience with enterprise architecture governance, platform standardization, and technology modernization initiatives

• Strong understanding of cybersecurity, data governance, validation, and compliance requirements in regulated manufacturing environments

• Experience operating within GxP, CSV, data integrity, and quality-controlled environments

• Exceptional executive communication, stakeholder management, and organizational leadership skills

• Demonstrated ability to align software engineering and AI innovation with business strategy and measurable business outcomes

• Proven ability to lead organizational change, manage complex priorities, and execute effectively within fast-paced global environments

• Strong financial management, budgeting, vendor management, and strategic partnership capabilities

• Able to work effectively across a highly matrixed global organization

• Able to comply with all company safety, quality, cybersecurity, and compliance policies