Data Governance Analyst

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Marmon Foodservice Technologies, Inc. As a part of the global industrial organization Marmon Holdings-which is backed by Berkshire Hathaway- you'll be doing things that matter, leading at every level, and winning a better way. We're committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone's empowered to be their best. Though you may not know us by name, you've most likely enjoyed meals and refreshments supported by our industry-leading brand portfolio. For decades, we've designed and manufactured foodservice equipment for some of the world's biggest, most recognized consumer brands. We are driven to innovate with a clear purpose in mind: revolutionizing the future of foodservice. Guided by our commitment to Doing Things That Matter, Leading at Every Level, and Winning a Better Way, we focus on delivering meaningful impact for our customers, our communities, and each other. The Data Governance Analyst is responsible for managing and sustaining enterprise master data across ERP (Infor LN) and connected systems. This role combines technical expertise, analytical capabilities, and process ownership to ensure data integrity, support scalable governance, and enable business-critical operations. This position extends beyond transactional maintenance, requiring the use of AI, automation, and advanced data tools to enhance quality, streamline workflows, and establish a sustainable end-to-end governance model. The role partners across supply chain, commercial, finance, and engineering teams to standardize processes, strengthen data integrity, and support multi-site operations. Core Responsibilities Master Data Management & Technical Execution Own end-to-end creation and maintenance of master data within Infor LN and integrated systems (E-commerce, MES, PIM, TMS, Aftermarket) Perform data analysis and troubleshooting to validate completeness, accuracy and system readiness Execute and enforce Master Data & System Management (MDSM) standards, policies and controls Data Governance & Quality Management Distribute quarterly governance reporting to stakeholders and update system accordingly Drive continuous improvement to enable sustainable, cross-functional data ownership and synchronization of data across enterprise Develop dashboards and data models to monitor data quality KPIs Process Improvement & Automation Enablement Refine and standardize workflows for master data intake, validation and maintenance Leverage AI-enabled tools to detect quality issues, automate validation processes and accelerate analysis Build repeatable, scalable solutions to reduce manual data entry across applications and support governance frameworks Participate in onboarding and data harmonization of new enterprise applications Cross-Functional Collaboration & Support Serve as liaison between business functions on data governance Participate in system implementations, testing, training, Go-Live and HyperCare activities Communicate data standards and changes effectively across stakeholders Required Qualifications Bachelor's degree in Business, Supply Chain, Information Systems, Data Analytics, or related field 2+ years of related experience in Master Data Management, Data Governance, or Data Analysis Familiarity with governance frameworks and audit/compliance controls Thorough systems expertise in ERP applications, preferably Infor LN. Procurement/Supply Chain experience is most preferred Proficiency in data analysis tools (Excel required, SQL or Power BI strongly preferred) High degree of initiative and ownership, as well as a proven history of delivering results while working with several different departments in a fast-paced environment Excellent organizational, analytical, and problem-solving skills, working cross-functionally and with internal/external partners Key Competencies Technical Capability with AI/Automation Mindset: Actively leverages technology to scale processes and reduce manual effort Governance Discipline and Analytical Thinking: Focused on building standardized, sustainable processes using data to identify issues and improvement opportunities Cross-Functional Collaboration to Drive Ownership & Accountability

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