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# Senior Technical Specialist

- **Company:** HCL America Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $172,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Governance, Mobile Application Software, Recommender Systems, Cloud Services, SQL Databases, Tableau (Software), Enterprise Data Management, Data Strategy, Data Lakes, Data Analytics
- **Published:** June 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1e210d36ef506c5c

## About the Role

Do you have experience in Supply chain experience within retail?, Retail domain expertise

10-15+ years in retail, e-commerce, consumer goods, or omnichannel retail

Deep understanding of:
Merchandising

Category management

Pricing

Promotions

Inventory planning

Customer loyalty

Omnichannel operations

Data and analytics experience

Experience with:
Enterprise data platforms

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 capability

Data governance

Data modelling

Customer loyalty

SQL and analytics

Omnichannel operations

Power BI/Tableau

Pricing and promotions

Cloud data platforms

## Description

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.

Key Responsibilities

Retail domain leadership

Provide expertise across key retail functions:
Merchandising

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:
Stores

Mobile applications

E-commerce platforms

Marketplaces

Loyalty programs

Drive a unified customer view across channels

Support customer journey and conversion funnel analysis

Supply chain and inventory analytics

Define reporting and analytics requirements for:
Demand forecasting

Replenishment

Inventory optimization

Vendor performance

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

Recommendation engines

Dynamic pricing solutions

Promotion optimization

Customer churn prediction

Assortment optimization

Validate business outcomes and adoption strategies

Stakeholder management

Facilitate workshops and business requirement sessions


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