Retail Domain Expert (Subject Matter Expert)

TransPerfect; Michigan; On-site; USD 90,000 - 130,000; Full time

Job summary

A leading technology and language solutions provider is seeking experienced Retail Subject Matter Experts. In this role, you will leverage your extensive knowledge in retail operations to improve AI tools designed for the retail ecosystem. Responsibilities include defining retail processes, developing evaluation criteria for AI performance, and ensuring models reflect real retail complexities. Candidates should have at least 5 years of relevant experience and strong analytical and communication skills. The position is based in Michigan.

Qualifications

• 5+ years of professional experience in retail operations, merchandising, and e-commerce.
• Hands-on experience with AI algorithms, evaluations, and decision-making.
• Strong ability to translate retail operations into decision frameworks.

Responsibilities

• Define key retail processes like category management and customer experience design.
• Develop criteria to assess AI’s decision-making accuracy.
• Evaluate model performance in product assortment planning and supply chain optimization.
• Curate high-quality retail data for AI training.
• Provide expert feedback to improve accuracy and business impact.

Skills

Retail operations expertise

Analytical mindset

Communication skills

Experience with AI tools

Attention to detail

Customer Insights

CRM

Loyalty Programs

Job description

Start Date: ASAP

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

DataForce by TransPerfect 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.

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

• 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.

Role Requirements

• Experience: 5+ 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.
• Hands-on experience in at least one of the following: prompt engineering or refinement of AI algorithms, rubric and “golden response” development, LLM evaluation/quality frameworks, or AI-driven tools financial analysis and decision‑making.
• 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.
• High attention to detail, commitment to data integrity, and an understanding of end-to-end retail workflows.

DataForce by TransPerfect is part of the TransPerfect 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 DataForce please visit us at https://www.transperfect.com/dataforce

For more information on the TransPerfect Family of Companies, please visit our website at https://www.transperfect.com