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Inventory Data Specialist

Julius Silvert
On-site
Philadelphia, Pennsylvania, United States
Data Specialist

Job Details

PHILADELPHIA, PA

Description

Daily Oversight & KPI Reports Sent To:

  • CIO – Overall data integrity, synchronization across ERP, B2B, B2C, and third-party platforms.
  • Ecommerce Team – SKU accuracy, PCM question validation, and performance optimization.
  • Leadership – Summary of rejected product data, compliance with 100% order review policy, and any systemic data risks impacting the business.

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Position Overview

The Product Data Specialist is the final authority on all product data. No product goes live, and no order is processed, without complete, correct, and fully optimized data. This role requires an unwavering commitment to detail, scrutiny of all new product data, and a zero-tolerance approach to errors.

Core Responsibilities:

? 100% review of all orders daily – No exceptions.

? Authority to challenge, reject, and correct all product submissions that are incomplete or inaccurate.

? Absolute control over PCM questions, attributes, certifications, and marketing data.

? Full system mastery across ERP (VAI S2K), B2B Ecommerce (Adobe Commerce), B2C Ecommerce (Shopify Plus), and third-party marketplaces.

? Memorization of all 7,000+ SKUs, enabling immediate identification of discrepancies.

? Continuous auditing and enforcement of strict data standards across all platforms.

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Key Responsibilities

1. Authority Over New Product Data & PCM Scrutiny

  • Strict review and rejection of incomplete product submissions from vendors and buyers.
  • PCM question validation: Every response must be detailed, precise, and verifiable.
  • Ensure proper categorization, weight accuracy, and cross-referenced certifications.
  • Demand corrections before approvalβ€”nothing enters the system unless perfect.

2. 100% Order Review Compliance

  • Every order is reviewed for SKU alignment, pricing accuracy, and category correctness.
  • All discrepancies are documented and corrected within 24-48 hours.
  • Cross-system verification of product data in ERP, ecommerce platforms, and WMS.

3. Full Data Entry Oversight & System Mastery

  • ERP (VAI S2K) management: SKU creation, categorization, and attribute mapping.
  • Adobe Commerce (Magento): B2B listing accuracy, pricing validation, and order guide management.
  • Shopify Plus: B2C product optimization, marketplace integration, and consumer-facing data validation.
  • TrackMax: Pricing analysis, margin validation, and error detection.
  • BFC Dakota WMS: Inventory data integrity, warehouse slotting verification, and weight compliance.

4. Cross-Platform Data Synchronization

  • Ensure zero discrepancies between ERP, ecommerce platforms, and third-party integrations.
  • Audit live product listings for missing details, outdated images, and inconsistent formatting.

5. Product Data Enhancement & SEO Optimization

  • Ensure all product descriptions are customer-centric, SEO-friendly, and optimized for searchability.
  • Fix category tagging issues that impact search functionality on B2B & B2C platforms.

6. Internal Collaboration & Enforcement

  • Hold internal teams accountable for incorrect or incomplete data.
  • Ensure buyers, sales teams, and warehouse managers follow strict data integrity protocols.
  • Proactively fix systemic data entry issues before they escalate into operational problems.

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4-WEEK INTENSIVE ONBOARDING SCHEDULE

Week 1: System Training & Data Review Foundations

  • ERP (VAI S2K) System Mastery
    • SKU creation, category management, and inventory control
    • Reviewing existing product data for common errors
    • Training on PCM questions and compliance
  • Ecommerce Platform Training
    • Adobe Commerce (Magento) overview – Category mapping, pricing validation
    • Shopify Plus – Product visibility, weight enforcement, and B2C optimization
  • Initial Product Data Auditing
    • Review 100 sample SKUs for errors
    • Shadow a daily order review session

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Week 2: Live Data Entry & Error Prevention Implementation

  • Full responsibility for new product data approvals
    • Enforce strict rejection of incomplete product submissions
    • Challenge vendors and internal teams on missing PCM responses
  • Begin daily order review responsibilities (50% scope)
    • Validate product attributes, pricing, and weight data before orders go live
    • Track and resolve errors within 24-48 hours

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Week 3: Full Order Review Ownership & Advanced Data Auditing

  • Take full responsibility for reviewing 100% of orders daily.
  • Cross-check SKU data in ERP, Adobe Commerce, and Shopify Plus.
  • Memorize at least 500 SKUs for immediate discrepancy detection.
  • Begin submitting weekly data accuracy reports to CIO and Ecommerce team.

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Week 4: System Optimization & Performance Evaluation

  • Achieve full compliance with 100% daily order review policy.
  • Generate and present error resolution reports.
  • Optimize at least 100 product listings for accuracy and searchability.
  • Meet or exceed all KPI targets (see below).

Qualifications

KEY PERFORMANCE INDICATORS (KPIs)

KPI

Target

Data Accuracy Rate

100% accuracy in ERP, Adobe Commerce, and Shopify Plus

Order Review Compliance

100% of orders reviewed daily

Error Resolution Time

All discrepancies resolved within 24-48 hours

Product Upload Timeliness

100% of approved products live within timeframes

PCM Question Compliance

100% of products have fully answered PCM questions before entry

Cross-System Synchronization

Zero discrepancies between ERP, B2B, B2C, and marketplaces

Product Enhancement Volume

Optimize at least 50 listings per month

SKU Memorization

Master all 7,000+ SKUs within 6 months

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SYSTEMS & SOFTWARE UTILIZED

System

Purpose

VAI S2K ERP

Master system for product data, inventory, and pricing

Adobe Commerce (Magento)

B2B ecommerce platform

Shopify Plus

B2C ecommerce platform

BFC Dakota WMS

Warehouse & inventory data integrity

TrackMax

Pricing validation & analytics

Microsoft Excel & PowerBI

Data audits, tracking, and reporting

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DAILY CHECKLIST

? Review all new product submissions and challenge incomplete data.

? Validate 100% of daily orders for accuracy before processing.

? Audit cross-platform data consistency (ERP, B2B, B2C, third-party).

? Enforce PCM question complianceβ€”no empty or vague responses allowed.

? Submit weekly accuracy reports to CIO and Ecommerce Team.

? Escalate any systemic data entry issues immediately.