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Subject Matter Expert; Retail

Job in Spokane, Spokane County, Washington, 99254, USA
Listing for: TransPerfect
Full Time position
Listed on 2025-12-07
Job specializations:
  • Retail
    Data Analyst, Ecommerce
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Subject Matter Expert (Retail)

Join to apply for the Subject Matter Expert (Retail) role at Trans Perfect

Start Date: ASAP

Qualification Requirements: Successful completion of a role‑specific written assessment and a background check.

Data Force by Trans Perfect is seeking experienced Retail Subject Matter Experts to support a cutting‑edge Generative AI and data analytics initiative. In this role, you will leverage your deep understanding of retail operations, merchandising, and omnichannel strategy to design workflows, create evaluation frameworks, and ensure that AI‑driven tools produce accurate, actionable, and business‑relevant outputs across the retail ecosystem.

Main Responsibilities:
  • Workflow Definition:
    Define key retail processes such as category management, pricing optimization, inventory forecasting, omnichannel fulfillment, and customer experience design.
  • Evaluation Creation:
    Develop test cases and performance criteria to assess the AI’s ability to simulate and optimize real‑world retail decisions, such as planogram design, cross‑merchandising logic, or promotional pricing.
  • Capability Assessment:
    Evaluate model performance in areas like product assortment planning, customer segmentation, loyalty strategy, clienteling, and supply chain optimization (e.g., cross‑docking, ship‑from‑store, endless aisle).
  • Data Curation & Annotation:
    Identify and curate high‑quality retail data, including POS transactions, loyalty data, product hierarchies, and customer journey information, to train and refine AI models.
  • Feedback & Iteration:
    Review model‑generated insights, test recommendations (e.g., pricing, category roles, store layouts), and provide expert feedback to improve accuracy, usability, and alignment with retail best practices.
As a Retail Domain Expert, you will:
  • Ensure that AI models reflect the real‑world complexity of modern retail, from store operations to e‑commerce.
  • Help create tools that improve efficiency, profitability, and customer experience across retail touchpoints.
  • Bridge the gap between AI capabilities and retail expertise, shaping the next generation of intelligent retail systems.
Job Requirements
  • Experience:

    10+ years of professional experience in one or more of the following areas:
    Merchandising / Category Management, Retail Operations / Store Management, Omnichannel Strategy & E‑Commerce, Supply Chain & Inventory Optimization, Pricing & Promotions / Revenue Management, Retail Analytics & Customer Insights, CRM, Clienteling, and Loyalty Programs.
  • Demonstrated ability to translate complex retail operations into structured processes and decision frameworks.
  • Strong analytical mindset; comfortable working with both quantitative data (e.g., RFM, market basket analysis) and qualitative retail concepts (e.g., experiential retail, store layout psychology).
  • Excellent communication skills; able to explain retail concepts clearly to non‑experts or technical teams.
  • Familiarity with AI, data science, or retail technology platforms (POS, ERP, CRM) is a plus.
  • High attention to detail, commitment to data integrity, and an understanding of end‑to‑end retail workflows.

Data Force by Trans Perfect is part of the Trans Perfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We offer high‑quality data for Human‑Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.

To learn more about Data Force please visit us at

For more information on the Trans Perfect Family of Companies, please visit our website at

Seniority Level
  • Associate
Employment Type
  • Part‑time
Job Function
  • Writing/Editing and Information Technology
Industries
  • Technology, Information and Media

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