Solutions Director
Listed on 2026-10-04
-
IT/Tech
Data Analyst, Business Systems & Technology Analysis
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- Category management
- Pricing and promotions
- Store operations
- E-commerce and omnichannel
- Supply chain and inventory management
- Customer loyalty and CRM
- Translate businessobjectivesinto 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
- 20 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
At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.
HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.
Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.
A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies.
- medical
- dental
- vision
- pharmacy
- life
- accidental death & dismemberment
- 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)
- 10 paid holidays per year
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).