Engineering

Retail Subject Matter Expert (SME)

Remote
Work Type: Full Time

Role overview

We are seeking an experienced Retail Subject Matter Expert to provide deep domain expertise across retail operations — spanning merchandising, planning, store operations, supply chain, and retail analytics. The SME translates hands-on retail knowledge into actionable strategy, clear product requirements, and AI/technology-enabled improvements, partnering closely with product, engineering, and data science teams.

Key responsibilities

Retail domain leadership

  • Act as the domain authority across merchandising, assortment & category management, planning & forecasting, store operations, and supply chain.
  • Provide strategic guidance on retail processes, KPIs, data structures, and operational workflows.
  • Translate business needs into detailed requirements, use cases, and process maps.

Product & solution contribution

  • Partner with product, engineering, and data science teams to validate features and ensure solutions align with retail realities.
  • Participate in requirement reviews, backlog grooming, and solution design workshops.
  • Evaluate prototypes, analytics dashboards, and AI/ML models for business fit and accuracy.

Operational intelligence & process excellence

  • Identify improvement opportunities across inventory, pricing, promotions, replenishment, and demand forecasting.
  • Map "as-is" and design "to-be" operational processes.

Stakeholder engagement

  • Run discovery sessions, interviews, and deep-dives with cross-functional business teams.
  • Communicate insights and recommendations through clear storytelling and presentations.

Training, governance & change management

  • Support SOPs, process documentation, and training assets for new systems.
  • Drive adoption of new tools, dashboards, and AI-enabled workflows.
  • Support governance for data quality and performance.

Must-have qualifications

  • 12–15 years of experience in retail, merchandising, planning, category management, or supply chain operations.
  • Strong command of retail KPIs — sell-through, GMROI, inventory turn, margin mix, OOS, promo uplift, safety stock.
  • Depth in 2–3 retail domains: merchandising · planning & forecasting · category management · store operations · e-commerce & omni-channel · supply chain.
  • Hands-on experience with retail systems — POS, ERP, merchandise/demand planning, allocation, or replenishment tools.
  • Ability to define business requirements, user stories, acceptance criteria, and operational workflows.
  • Strong analytical, documentation, and communication skills.

Good-to-have

  • Experience collaborating with AI/ML, data engineering, or product teams on retail solutions.
  • Familiarity with retail cloud platforms (Azure, AWS, GCP) and data ecosystems.
  • Comfort with BI / analytics tools (Power BI, Tableau).
  • Exposure to Generative or agentic AI use cases in retail.
  • Experience with process standardization and operational-excellence initiatives.

Soft skills

Strong problem-solving and structured thinking · ability to simplify complex retail processes for technical teams · high ownership and bias for action · excellent stakeholder management and cross-functional collaboration.

Education

  • Bachelor's degree in Business, Supply Chain, Retail Management, or a related field.
  • MBA or advanced certification in Retail / Supply Chain preferred.

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