Project Manager, Master Data

Socket.dev

New York (NY)

On-site

USD 110,000 - 150,000

Full time

3 days ago
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Job summary

Socket.dev is seeking a Project Manager, Master Data to lead strategy, governance, and end-to-end development of product and enterprise master data across planning, merchandising, pricing, and compliance systems. You will own data accuracy, integrity, and timeliness and lead projects, system enhancements, and process improvements to scale data across the business.

You will partner with Sales, Planning, Merchandising, IT, and Operations leadership to translate requirements into data standards,

Qualifications

  • 4+ years of dedicated experience in product/master data management or enterprise retail systems.
  • Bachelor’s degree in Business, Information Systems, Supply Chain Management, or related field, or equivalent practical experience.
  • Strong hands-on experience with ERP and product management systems (NetSuite, PLM/WFX, or similar).

Responsibilities

  • End-to-End Stewardship: manage the execution of product data across planning, merchandising, pricing, and compliance systems.
  • Standards & Integrity: enforce data standards, governance rules, and naming conventions to maintain a single source of truth.
  • Readiness: ensure data completeness and accuracy to support critical functions such as forecasting and replenishment.
  • Project Leadership: plan and lead master data projects from scope through go-live, coordinating timelines and stakeholders.
  • Data Roadmap: contribute to a multi-quarter roadmap prioritizing Planning, Merchandising, and compliance needs.

Skills

Data governance
Project leadership
Cross-functional collaboration
SQL
Excel

Education

Bachelor's degree in Business/IS

Tools

NetSuite
PLM/WFX

Job description

Description

The Project Manager, Master Data leads the strategy, governance, and end-to-enddevelopment of product and enterprise master data across planning, merchandising, pricing, and compliance systems. This is a hands-on, high-visibility role: you will own the accuracy, integrity, and timeliness of product data that Planning, Merchandising, and Operations rely on daily, and you will lead the projects, system enhancements, and process improvements to create & maintain data integrity that scales with the businesswill partner directly with Sales, Planning, Merchandising, IT, and Operations leadership to translate business requirements into data standards, system capabilities, and measurable quality outcomes.

Requirements

Key Responsibilities
Data Strategy, Governance & Project Leadership
  • End-to-End Stewardship: Manage the execution of product data across planning, merchandising, pricing, and compliance systems driving accurate, consistent, secure, accessible data and usage.
  • Standards & Integrity: Enforce strict data standards, governance rules, and naming conventions to maintain a "single source of truth."
  • Readiness: Ensure data completeness and accuracy to support critical functions such as forecasting, assortment planning, and replenishment.
  • Project Leadership: Plan and lead master data projects and system enhancements from scope planning through go-live, coordinating timelines, stakeholders, and user acceptance testing.
  • Data Roadmap: Contribute to a multi-quarter master data roadmap, prioritizing initiatives against Planning, Merchandising, and compliance needs.
Quality Control & Optimization
  • Monitoring & Auditing: Track data quality KPIs and perform regular audits, validations, and data cleansing to mitigate risks.
  • Process Improvement: Develop automation solutions to enhance the speed, accuracy, and reliability of data entry and maintenance.
  • KPI Ownership: Define and report data quality KPIs (e.g., item-setup accuracy, on-time attribute completion, audit error rate) to leadership on a recurring cadence.
  • Root-Cause Resolution: Investigate recurring data errors to their source and implement permanent fixes rather than one-off corrections.
Systems & Collaboration
  • Functional Expertise: Act as the lead data expert for ERP/NetSuite and , PLM/WFX platforms.
  • Technical Support: Support system upgrades, User Acceptance Testing (UAT), and defect resolution.
  • Cross-Functional Partnership: Collaborate closely with Sales, Planning, Merchandising, IT, and Operations to streamline data workflows.
  • Compliance: Maintain product safety and compliance records while supporting internal and external audits.
  • Systems Roadmap: Partner with IT on the long-term systems roadmap for NetSuite, PLM/ WFX, and adjacent data platforms (e.g., PIM/DAM), advocating for master data requirements.
Success Measures
  • Data accuracy and completeness rates trend upward quarter over quarter across NetSuite and PLM/WFX.
  • New items and attribute changes are set up correctly and on time, minimizing downstream rework for Planning and Merchandising.
  • Audit findings related to product data decline year over year.
  • Manual data-entry effort decreases as automation and process improvements are implemented take hold.
Qualifications & Experience
  • Experience: 4+ years of dedicated experience in product/master data management or enterprise retail systems; experience in home textiles, flooring, apparel or consumer goods is a plus.
  • Education: Bachelor’s degree in Business, Information Systems, Supply Chain Management, or a related field, or equivalent practical experience.
  • Technical Proficiency: Strong hands-on experience with ERP and product management systems (NetSuite, PLM/WFX, or similar).
  • Advanced Excel skills (VLOOKUPs, Pivot Tables, Macros, etc.) are required.
  • Reporting & Analytics: Experience with SQL, Power BI, Tableau, or similar reporting/data-visualization tools is a plus.
  • Project Management: Demonstrated project management experience; PMP, Agile/Scrum, or Lean Six Sigma certification is a plus.
  • Competencies: Proven ability to operate independently in high-pressure, deadline-driven environments.
  • Exceptional attention to detail and a proactive approach to problem-solving.
  • Strong communication skills to bridge the gap between technical and business stakeholders.
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