Manager, Product Data Operations

e.l.f. Beauty•Oakland, CA

2d•Hybrid

About The Position

e.l.f. Beauty is seeking a Manager, Master Data & PLM to lead the onboarding of new products and SKUs into their systems, govern business and master data, and support Product Lifecycle Management (PLM) processes across their cosmetics/consumer products portfolio. This is a hands-on leadership role requiring comfort with data and systems, as well as cross-functional partnership to define processes. The role owner will be responsible for the end-to-end onboarding of new products, formulations, and items from a business and master data perspective, partnering closely with R&D, Supply Chain, Regulatory, and Commercial teams. The manager will lead a small team and be responsible for turning ambiguity into process, defining standards, driving adoption, and ensuring data accuracy and timeliness.

Requirements

Proven experience in master data management and/or application onboarding in a cosmetics, CPG, or related consumer products environment.
Hands-on experience with a PLM system — Centric and/or Specright strongly preferred.
Working knowledge of ERP/master data systems (e.g., SAP or NetSuite) to support product setup and ongoing item maintenance — including creating and updating product records, BOMs, and related data across systems.
Advanced Excel skills.
Demonstrated ability to drive process definition and standardization in a cross-functional setting.
Comfort navigating ambiguity and leading through change, including periods of organizational or systems transition.
Leadership experience or clear readiness to step into people management — mentoring, coaching, or formally managing others.
Strong communication and stakeholder management skills; able to influence without authority.

Nice To Haves

Experience scaling a master data from early/immature state to a governed, auditable operation.
Exposure to product commercialization lifecycles in cosmetics or regulated CPG (formulas, claims, regulatory specs).
Familiarity with data governance frameworks and master data quality metrics.
Experience partnering with IT on system implementations, enhancements, or integrations.

Responsibilities

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 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 the 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.
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, create it. When it exists but is broken, 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.