Business Systems Transformation Manager

ResponsibilitiesDevelop, implement, and continuously improve the organization’s business systems strategy and digital transformation roadmap, ensuring alignment with business growth, operational excellence, customer satisfaction, quality, financial performance, and regulatory compliance objectives.Lead the governance, evaluation, and prioritization of enterprise business systems, data management, analytics, automation, and digital transformation initiatives, balancing strategic value, investment requirements, operational risks, resource availability, and organizational priorities.Collaborate with executive leadership, functional leaders, and site management to identify opportunities to simplify, standardize, and optimize business processes through technology-enabled solutions and continuous improvement initiatives.Serve as the business owner for enterprise resource planning (ERP) platforms, critical business applications, and related systems, establishing functional requirements, performance expectations, system controls, support models, and long-term improvement strategies.Evaluate existing business processes and technology capabilities to identify gaps, inefficiencies, and opportunities to improve system integration, data accuracy, process consistency, productivity, and decision-making.Enhance business systems and data capabilities supporting sales, inventory, and operations planning (SIOP), production planning and scheduling, supply chain management, inventory control, material flow, delivery performance, quality management, cost analysis, and operational performance measurement.Establish and maintain enterprise-wide data governance frameworks, including data ownership, master data management, data quality standards, reporting definitions, access controls, and standardized performance metrics.Develop and maintain executive dashboards, operational reports, and analytical tools that provide timely, accurate, and actionable insights to support strategic planning, performance monitoring, and data-driven decision-making.Lead the identification, evaluation, and implementation of workflow automation, advanced analytics, artificial intelligence (AI), and generative AI solutions to improve efficiency, reduce manual effort, and enhance organizational capabilities.Establish appropriate governance, security, privacy, compliance, and risk management practices for emerging technologies, including AI-enabled tools and productivity platforms, while promoting responsible use and effective adoption.Develop business cases, investment proposals, project plans, and value realization frameworks for technology and process improvement initiatives, defining expected benefits, resource requirements, implementation milestones, and measurable outcomes.Direct cross-functional transformation projects from initial assessment and requirements gathering through solution design, implementation, testing, deployment, stabilization, training, and ongoing performance optimization.Partner with information technology, cybersecurity, engineering, operations, finance, supply chain, quality, human resources, external vendors, and other stakeholders to ensure solutions meet business needs and integrate effectively with existing systems.Establish project governance structures, success criteria, performance indicators, and accountability measures to monitor progress, manage dependencies, mitigate risks, and ensure the timely delivery of transformation initiatives.Lead organizational change management efforts, including stakeholder engagement, communication planning, training development, user readiness, and adoption measurement to support sustainable implementation of new systems and processes.Promote process standardization and scalable business practices across departments, facilities, and operational locations while accommodating legitimate differences in business requirements and regulatory obligations.Monitor system performance, data integrity, process effectiveness, and user feedback to identify improvement opportunities and ensure continued alignment between technology capabilities and business objectives.Manage relationships with software providers, implementation partners, consultants, and other external service providers, ensuring appropriate service delivery, contract performance, cost management, and alignment with strategic priorities.Support the development of organizational capabilities by establishing best practices, documenting business processes, sharing knowledge, and strengthening the ability of teams to manage systems and process improvements independently.Drive a culture of continuous improvement, innovation, accountability, and collaboration, ensuring that digital investments deliver measurable operational, financial, and strategic benefits.Ensure that business systems, data practices, and digital initiatives adhere to applicable internal policies, information security requirements, quality standards, regulatory expectations, and risk management frameworks.QualificationsBachelor’s degree in Business Administration, Engineering, Operations Management, Supply Chain Management, Finance, Information Systems, Computer Science, or a related field.Eight or more years of progressive professional experience in business systems, digital transformation, enterprise applications, operations, supply chain, finance, manufacturing, or business process improvement.Demonstrated experience leading complex, cross-functional initiatives, preferably within manufacturing, industrial operations, supply chain, or other operationally intensive environments.Proven ability to develop and execute business systems strategies, digital transformation roadmaps, technology investment proposals, governance frameworks, and measurable value realization plans.Strong understanding of enterprise resource planning (ERP) systems and their application across manufacturing, production planning, inventory management, supply chain, quality, finance, procurement, and business reporting.Experience evaluating business processes, translating operational needs into system requirements, and developing scalable technology-enabled solutions that improve performance and efficiency.Demonstrated knowledge of data governance, master data management, business intelligence, reporting standards, analytics, and performance measurement practices.Familiarity with operational planning and performance management processes, including SIOP, production scheduling, inventory optimization, delivery performance, quality metrics, cost management, overall equipment effectiveness (OEE), and first pass yield (FPY).