Key Account Product Data Coordinator

The Digital Asset Management Consortium, Inc.; Vancouver; Vor Ort; CAD 52.000 - 72.000; Vollzeit

Zusammenfassung

Moe's Home Collection is seeking a detail-oriented Key Account Product Data Coordinator in Vancouver to manage product setup and ensure accurate listings with Wayfair and other partners.

You will maintain product information, coordinate data submissions, and audit data quality across retailers. Collaboration with cross-functional teams is essential to support launches and optimize data workflows.

Qualifikationen

• Strong organizational and time-management skills, with the ability to manage multiple priorities, meet deadlines, and follow through on outstanding tasks.
• Excellent attention to detail, with strong analytical and problem-solving skills to identify discrepancies, investigate issues, and coordinate solutions.
• Proficiency in Microsoft Excel, including working with large datasets, sorting, filtering, and basic formulas. Experience with lookups and data validation is an asset.
• Strong written and verbal communication skills, with the ability to work effectively with internal teams and external retail partners.
• Comfortable learning new systems and technologies, with the ability to adapt quickly and seek clarification when needed.
• Proactive, self-motivated, and team-oriented, with a willingness to take initiative and contribute to shared goals.
• Ability to work effectively in a fast-paced environment while managing changing priorities and deadlines.
• Post-secondary education in Business, Data Management, E-commerce, Merchandising, or a related field, or equivalent practical experience.
• Previous experience or internship in retail, e-commerce, merchandising, product data management, or a related field is an asset.
• Familiarity with Product Information Management (PIM), Digital Asset Management (DAM), ERP systems, or retailer/vendor portals is an asset.
• Experience preparing product data templates, managing product listings, or working with data imports and exports is an asset.
• Exposure to online marketplaces or retail platforms, particularly Wayfair, is an asset.
• Interest in leveraging AI tools, automation, and emerging technologies to improve data accuracy and workflow efficiency.

Aufgaben

• Coordinate new product setup, assortment launches, and SKU onboarding for Wayfair and other key retail accounts, ensuring accurate and timely submissions.
• Maintain and update product information, specifications, imagery, and supporting assets to meet retailer requirements and ensure accurate product listings across digital platforms.
• Prepare product setup templates, manage data submissions, and coordinate retailer-specific attribute mapping and data requirements.
• Conduct regular audits of product information, imagery, inventory, carton details, and product content to identify and resolve discrepancies.
• Coordinate required product compliance documentation and ensure information meets retailer standards.
• Process and validate regular, B2B, MAP, MSRP, and promotional pricing updates across applicable retail platforms.
• Monitor product listing status, retailer platform alerts, and submission errors to ensure products are successfully activated and accurately displayed.
• Collaborate with Product Development, Sales, Asset Management, and external retail partners to resolve data issues, respond to information requests, and support business initiatives.
• Maintain product setup trackers, monitor onboarding progress, and support key account reporting.
• Identify opportunities to improve product data accuracy, streamline workflows, and increase operational efficiency.

Kenntnisse

Organizational skills

Attention to detail

Excel proficiency

Written and verbal communication

Adaptability

Teamwork

Multitasking

Data management

Ability to work in fast-paced env

Time management

Ausbildung

Post-secondary education in Business/Data Management/E-commerce/Merchandising

Equivalent practical experience

Tools

PIM

DAM

ERP systems

Retail portals access

Jobbeschreibung

The mission of our Product Data Management department is to ensure accurate, complete, and consistent product information across our systems and retail partners, supporting seamless product launches, operational efficiency, and an exceptional customer experience.

Reporting directly to the Senior Product Data Manager, the Key Account Product Data Coordinator will manage product setup, maintain accurate product information, and support data distribution across key retail partners, including Wayfair US and Canada. The ideal candidate is detail-oriented, organized, and comfortable working with data, systems, and cross-functional teams to ensure product listings are accurate, complete, and launched on time.

DUTIES & RESPONSIBILITIES:

• Coordinate new product setup, assortment launches, and SKU onboarding for Wayfair and other key retail accounts, ensuring accurate and timely submissions.
• Maintain and update product information, specifications, imagery, and supporting assets to meet retailer requirements and ensure accurate product listings across digital platforms.
• Prepare product setup templates, manage data submissions, and coordinate retailer-specific attribute mapping and data requirements.
• Conduct regular audits of product information, imagery, inventory, carton details, and product content to identify and resolve discrepancies.
• Coordinate required product compliance documentation and ensure information meets retailer standards.
• Process and validate regular, B2B, MAP, MSRP, and promotional pricing updates across applicable retail platforms.
• Monitor product listing status, retailer platform alerts, and submission errors to ensure products are successfully activated and accurately displayed.
• Collaborate with Product Development, Sales, Asset Management, and external retail partners to resolve data issues, respond to information requests, and support business initiatives.
• Maintain product setup trackers, monitor onboarding progress, and support key account reporting.
• Identify opportunities to improve product data accuracy, streamline workflows, and increase operational efficiency.

SKILLS & QUALIFICATIONS:

• Strong organizational and time-management skills, with the ability to manage multiple priorities, meet deadlines, and follow through on outstanding tasks.
• Excellent attention to detail, with strong analytical and problem-solving skills to identify discrepancies, investigate issues, and coordinate solutions.
• Proficiency in Microsoft Excel, including working with large datasets, sorting, filtering, and basic formulas. Experience with lookups and data validation is an asset.
• Strong written and verbal communication skills, with the ability to work effectively with internal teams and external retail partners.
• Comfortable learning new systems and technologies, with the ability to adapt quickly and seek clarification when needed.
• Proactive, self-motivated, and team-oriented, with a willingness to take initiative and contribute to shared goals.
• Ability to work effectively in a fast-paced environment while managing changing priorities and deadlines.
• Post-secondary education in Business, Data Management, E-commerce, Merchandising, or a related field, or equivalent practical experience.
• Previous experience or internship in retail, e-commerce, merchandising, product data management, or a related field is an asset.
• Familiarity with Product Information Management (PIM), Digital Asset Management (DAM), ERP systems, or retailer/vendor portals is an asset.
• Experience preparing product data templates, managing product listings, or working with data imports and exports is an asset.
• Exposure to online marketplaces or retail platforms, particularly Wayfair, is an asset.
• Interest in leveraging AI tools, automation, and emerging technologies to improve data accuracy and workflow efficiency.

Visit Job Website

Employer: Moe's Home Collection

Location: Vancouver, BC, Canada

Posted Date: 15/10/2026

Expiry Date: 15/02/2027

Type: Full-Time

Categories: DAM / MAM / BAM Manager / User, PIM / Product Manager / Digital Shelf, Sales / E-commerce / Retail, Artificial Intelligence / Machine Learning

Ref: DN-JB-3106