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About the Role

Schumacher & Co. is implementing a new Product Information Management (PIM) system and seeks a detail-oriented Data Management Intern to support critical data cleanup, entry, and validation for a successful launch. This hands-on role offers direct collaboration with product, portfolio development, and technology teams on a high-visibility initiative, reporting to the Product Management Team and partnering with the PIM project lead. The goal is to achieve measurable improvements in attribute completeness and accuracy across the catalog within six months, establishing a documented, repeatable process for the team.

Responsibilities

Clean, standardize, and enrich product attributes in the PIM system across a catalog of 20,000+ SKUs spanning Fabric, Wallcovering, Trim, and Furniture, using batch tools and lookups for efficiency at scale.
Review and validate data for accuracy, completeness, and consistency against established rules and standards.
Reconcile product data across source systems to identify and flag discrepancies.
Communicate with vendors and internal stakeholders to source missing attributes and confirm data accuracy.
Partner with the Portfolio Development, Design and Data teams to resolve data gaps and quality issues.
Work within Excel-based taxonomy and classification templates to support data preparation and handoff.

Requirements

Strong Excel / spreadsheet skills, including comfort with large, structured datasets and proficiency in lookups (VLookup / XLookup), pivot tables, filtering, and deduplication.
Exceptional attention to detail and a strong sense of ownership and accountability for data accuracy.
Ability to follow detailed process documentation and clearly flag exceptions.
A pattern-spotter who can identify when a rule produces incorrect output and propose improvements.
A self-starter with good judgment for independent decision-making versus escalation.
Strong intuition for distinguishing between batch fixes and tasks requiring human review, maintaining precision at volume.
Enthusiasm for utilizing AI tools to accelerate and enhance repetitive data work.
Clear, professional written communication skills.
Interest in product data, eCommerce, or digital operations.

Skills

Excel
Spreadsheet skills
VLookup
XLookup
Pivot tables
Filtering
Deduplication
Data entry
Data validation
Data cleanup
Data standardization
Data enrichment
Product data management
PIM
ERP
eCommerce platforms
AI tools

Location

NYC
Hybrid

Work Type

Full-Time Internship
Hybrid

Experience Level

Internship

Salary/Compensations

$19—$20 USD

About the Company

Schumacher & Co. is an innovative interior design company disrupting the $150 billion-dollar global interior design industry, recognized as a technological leader. With over 500 employees, the company is driven by the belief that design transforms life and is dedicated to helping customers 'celebrate the feeling of home.' Schumacher designs and produces fabrics, wallcoverings, trims, furniture, and accessories, united by a passion for design and attention to detail. The company has a global presence with numerous showrooms. Schumacher's competitive advantage lies in its people, who are considered the most important assets. Core values include preserving entrepreneurial spirit, taking ownership and accountability, being solutions-oriented, demonstrating courage, practicing adaptability, and embracing collaboration. F. Schumacher & Co. (FSCO) is the parent company to multiple brands.
F. Schumacher & Co. has led luxury home furnishings for over 130 years.

Equal Opportunity

We are an Equal Opportunity Employer committed to diversity, inclusion, and equality in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.