Data, Steward, Merchandising

Duties and Responsibilities

• Maintain accurate, complete, and governed product data within STEP and related enterprise systems.
• Support end-to-end item setup, maintenance, and product lifecycle management processes.
• Ensure product attributes, hierarchies, classifications, and related content align with established business rules and governance standards.
• Monitor and audit product data quality to identify discrepancies, inconsistencies, and process gaps.
• Investigate and resolve data issues in partnership with cross-functional teams.
• Support workflow management, approvals, validations, and governance controls within STEP.
• Collaborate with Merchandising, eCommerce, IT, Supply Chain, Operations, and other business partners to ensure data accuracy and operational readiness.
• Document data standards, processes, procedures, and governance guidelines.
• Identify opportunities for process optimization, automation, and continuous improvement.
• Participate in data governance initiatives and support scalable master data management practices.
• Assist with reporting, data analysis, and audits related to product data quality and compliance.
• Support testing and validation activities related to system enhancements, process changes, and integrations.

Requirements

Detail-oriented, analytical, and process-driven experience managing complex product data within a PIM or master data environment.

Comfortable working in a fast-paced, cross-functional environment while balancing daily execution with continuous improvement and data governance initiatives.

Qualifications

Experience managing product data within a PIM or master data environment.

Knowledge of data governance, validation processes, workflow management, and scalable data practices.

Ability to collaborate with cross-functional teams on process enhancements, data audits, issue resolution, and documentation.

Experience with data quality monitoring, investigation, and resolution.

Strong communication and problem-solving skills.

Skills

Proficiency in data management tools and software.

Excellent organizational and attention to detail skills.

Strong analytical and problem-solving skills.

Ability to work independently and as part of a team.

Experience with data governance and scalability best practices.

Benefits

Comprehensive and competitive benefits including medical, dental, vision, life insurance, short-term and long-term disability.

Eligibility for an annual discretionary bonus.

Company 401(k) plan.

Paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays).

Paid sick time up to 80 hours per year unless otherwise required by law.

Pay

$82,700 – $124,000 depending on location, knowledge, skills, education and experience.

Schedule

Up to 5% travel.