Master Data & Application Onboarding
· Own the end-to-end onboarding of new products, formulas, packaging, and SKUs — managing the full process from intake through launch, ensuring items are set up accurately, on time, and to standard across our systems.
· Define and maintain master data standards, hierarchies, attributes, and naming conventions across materials, formulas, packaging, suppliers, and trade items.
· Partner with business stakeholders to translate requirements into clean, governed data structures in SAP/NetSuite and adjacent systems.
· Build and operationalize onboarding playbooks, checklists, and SLAs so that new item setup is fast, accurate, and repeatable.
· Identify and resolve data quality issues at the source; establish metrics and reporting to monitor data health.
· Lead the day-to-day operation and continuous improvement of our PLM platform (Centric and/or Specright), including spec management, formulation, packaging, and regulatory data flows.
· Drive PLM process design — from concept/ideation through commercialization — ensuring PLM is the single source of truth for product specifications.
· Manage integrations and data handoffs between PLM and SAP/ERP, ensuring data consistency across the product lifecycle.
· Act as the business owner for PLM configuration changes, enhancements, and user enablement in partnership with IT.
Leadership & Team Management
· Manage a team of 1–2 master data / PLM analysts; set goals, coach, and develop talent.
· Set the team’s roadmap and priorities in alignment with business cycles (launch calendars, seasonality, ERP migrations).
· Build credibility as a player-coach — willing to execute directly when needed while building scalable process for the team to run.
· Thrive in undefined space: when a process doesn’t exist, you create it. When it exists but is broken, you fix it.
· Drive cross-functional alignment across R&D, Supply Chain, Regulatory, Quality, Commercial, and IT to remove blockers and move work forward.
· Communicate clearly upward and outward — translating data and system complexity into decisions executives and partners can act on.