Retail Data Domain SME

HCLTech is looking for a highly talented and self- motivated Retail Data Domain SME to join it in advancing the technological world through innovation and creativity.

Job Title: Retail Data Domain SME

Job : 121890

Position Type: Full-time

Location: Coppell, TX or Pleasanton, CA

Job Summary: Serve as the retail business domain expert for data, analytics, AI, and digital transformation initiatives. Drive alignment between merchandising, stores, e-commerce, supply chain, marketing, and data teams to unlock business value through data-driven decision‑making.

• Category management
• Pricing and promotions
• Store operations
• E-commerce and omnichannel
• Supply chain and inventory management
• Customer loyalty and CRM
• Translate business objectives into data and analytics requirements
• Act as the primary liaison between business stakeholders and data teams
• Data strategy and governance
• Define retail data domains and business ownership
• Establish data standards, business definitions, and governance processes
• Drive data quality initiatives across product, customer, inventory, sales, and supplier data
• Define critical business KPIs and measurement frameworks
• Analytics and insights
• Partner with analytics teams to build actionable dashboards and reporting solutions
• Support customer segmentation and personalization initiatives
• Omnichannel and customer analytics
• Define metrics across:
• Mobile applications
• E-commerce platforms
• Marketplaces
• Loyalty programs
• Support customer journey and conversion funnel analysis
• Supply chain and inventory analytics
• Define reporting and analytics requirements for:
• Demand forecasting
• Inventory optimization
• Fulfillment operations
• Support initiatives to reduce stock-outs, overstocks, and working capital
• AI and advanced analytics
• Identify AI and GenAI use cases across retail operations
• Guide development of:
• Demand forecasting models
• Dynamic pricing solutions
• Promotion optimization
• Validate business outcomes and adoption strategies
• Facilitate workshops and business requirement sessions
• Drive cross‑functional alignment and prioritization

• 10–15+ years in retail, e-commerce, consumer goods, or omnichannel retail
• Deep understanding of:
• Category management
• Promotions
• Inventory planning
• Data and analytics experience
• Experience with:
• Data lakes and warehouses
• BI and reporting solutions
• Customer analytics
• Supply chain analytics
• AI and machine learning initiatives
• Strong understanding of retail data models
• Preferred skills
• Business capability
• Data governance
• SQL and analytics
• Power BI/Tableau
• Pricing and promotions

Pay Range Minimum: $113,000/Annum

Pay Range Maximum: $172,000/Annum

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to  for investigation.

Compensation and Benefits: A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance‑based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance;

employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need‑based leave with no designated number of leave days per year); and 10 paid holidays per year.

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior‑level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries.

We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.