E.L.F. BEAUTY

About The Company
e.l.f. Beauty's purpose is to make the world a better place for every eye, lip, and face.
Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, e.l.f. Hair, Well People, Naturium and rhode.
In our Fiscal year 26, we had net sales of $1.6 Billion and our business performance has been nothing short of extraordinary with 7 consecutive years of net sales growth. This consistent, category-leading growth is a testament to the strength of our team, strategy, and portfolio of brands.
Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last seven fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry.
Visit our Career Page to learn more about our team: <a href="https://www.elfbeauty.com/work-with-us" rel="nofollow noopener" target="_blank">https://www.elfbeauty.com/work-with-us</a>
We are hiring a Manager, Master Data &amp; PLM to lead how we onboard new products and SKUs into our systems, govern business and master data, and support our Product Lifecycle Management (PLM) processes across our cosmetics / consumer products portfolio. This is a hands-on leadership role for someone who is equally comfortable in the weeds of data and systems and in front of cross-functional partners defining how work should get done.
You will own the end-to-end onboarding of new products, formulations, and items from a business and master data perspective — from intake and data modeling through go-live and steady-state governance. You will partner closely with R&amp;D, Supply Chain, Regulatory, and Commercial teams, and manage a small but high-impact team (1-2 direct reports today, with room to grow as our portfolio and launch velocity expand). You will be the person who turns ambiguity into process — defining standards, driving adoption, and making sure the right data lives in the right system at the right time.
Responsibilties
Master Data &amp; Application Onboarding
<ul>
<li>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</li>
<li>Define and maintain master data standards, hierarchies, attributes, and naming conventions across materials, formulas, packaging, suppliers, and trade items</li>
<li>Partner with business stakeholders to translate requirements into clean, governed data structures in SAP/NetSuite and adjacent systems</li>
<li>Build and operationalize onboarding playbooks, checklists, and SLAs so that new item setup is fast, accurate, and repeatable</li>
<li>Identify and resolve data quality issues at the source; establish metrics and reporting to monitor data health</li>
</ul>
PLM Ownership
<ul>
<li>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</li>
<li>Drive PLM process design — from concept/ideation through commercialization — ensuring PLM is the single source of truth for product specifications</li>
<li>Manage integrations and data handoffs between PLM and SAP/ERP, ensuring data consistency across the product lifecycle</li>
<li>Act as the business owner for PLM configuration changes, enhancements, and user enablement in partnership with IT</li>
</ul>
Leadership &amp; Team Management
<ul>
<li>Manage a team of 1-2 master data / PLM analysts; set goals, coach, and develop talent</li>
<li>Set the team's roadmap and priorities in alignment with business cycles (launch calendars, seasonality, ERP migrations)</li>
<li>Build credibility as a player-coach — willing to execute directly when needed while building scalable process for the team to run</li>
</ul>
Process &amp; Ambiguity
<ul>
<li>Thrive in undefined space: when a process doesn't exist, you create it. When it exists but is broken, you fix it</li>
<li>Drive cross-functional alignment across R&amp;D, Supply Chain, Regulatory, Quality, Commercial, and IT to remove blockers and move work forward</li>
<li>Communicate clearly upward and outward — translating data and system complexity into decisions executives and partners can act on</li>
</ul>
Requirements
Required
<ul>
<li>Proven experience in master data management and/or application onboarding in a cosmetics, CPG, or related consumer products environment</li>
<li>Hands-on experience with a PLM system — Centric and/or Specright strongly preferred</li>
<li>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 our systems</li>
<li>Advanced Excel skills</li>
<li>Demonstrated ability to drive process definition and standardization in a cross-functional setting</li>
<li>Comfort navigating ambiguity and leading through change, including periods of organizational or systems transition</li>
<li>Leadership experience or clear readiness to step into people management — mentoring, coaching, or formally managing others</li>
<li>Strong communication and stakeholder management skills; able to influence without authority</li>
</ul>
Strongly Preferred
<ul>
<li>Experience scaling a master data from early/immature state to a governed, auditable operation</li>
<li>Exposure to product commercialization lifecycles in cosmetics or regulated CPG (formulas, claims, regulatory specs)</li>
<li>Familiarity with data governance frameworks and master data quality metrics</li>
<li>Experience partnering with IT on system implementations, enhancements, or integrations</li>
</ul>
The base salary range for this role is listed above.
Total compensation includes base salary, annual company-based performance bonus, and equity. Under e.l.f.’s annual bonus program, employees are eligible to earn up to 200% of their target bonus when company performance exceeds defined goals. In addition, e.l.f. provides a variety of other benefits to employees, including medical, dental, and vision insurance, a retirement savings plan, gender neutral parental leave, and unlimited paid time off. The amount of total compensation (including base salary) offered will be based on a wide range of factors, including geographic location, experience, specific skills, and qualifications.
Compensation components are subject to change at the company’s discretion
This job description is intended to describe the general nature and level of work being performed in this position. It also reflects the general details considered necessary to describe the principal functions of the job identified, and shall not be considered, as detailed description of all the work required inherent in the job. It is not an exhaustive list of responsibilities, and it is subject to changes and exceptions at the supervisors’ discretion.
e.l.f. Beauty respects your privacy. Please see our Job Applicant Privacy Notice (<a href="http://www.elfbeauty.com/us-job-applicant-privacy-notice" rel="nofollow noopener" target="_blank">www.elfbeauty.com/us-job-applicant-privacy-notice</a>) for how your personal information is used and shared.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Manager, Product Data Operations

Manager, Product Data Operations

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