Data Governance Analyst

Core Responsibilities

• 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
• 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
• Enable Process Improvement & Automation
• 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