Solutions Director

HCL Technologies Limited; Alameda (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Pharmacy benefits

Life insurance

AD&D insurance

Disability insurance

Employee assistance program

401(k) retirement plan

Paid time off

Paid holidays

Job summary

HCLTech seeks a seasoned Retail Analytics Leader to drive data-driven decision-making across merchandising, stores, e-commerce, and supply chain. You will align business objectives with analytics, define data domains and governance, and partner with analytics teams to deliver dashboards and insights.

You will shape KPIs, demand forecasting, inventory analytics, and omnichannel strategies, while guiding AI/GenAI use cases to unlock business value.

Qualifications

• 20 years in retail, e-commerce, consumer goods, or omnichannel retail.
• Deep understanding of category management, promotions, and inventory planning.
• Experience with data lakes, warehouses, BI and reporting solutions, and analytics.

Responsibilities

• Serve as retail data/analytics domain expert to align merchandising, stores, ecommerce, supply chain and marketing.
• Define data domains, governance, standards and business ownership.
• Translate business objectives into data/analytics requirements.
• Partner with analytics teams to build dashboards and reporting solutions.
• Support customer segmentation, personalization, and omnichannel initiatives.
• Define KPIs and measurement frameworks for demand, inventory, and fulfillment.
• Drive data quality initiatives across product, customer, inventory, and supplier data.
• Identify AI and GenAI use cases for retail operations and guide model development.
• Facilitate workshops and ensure cross-functional prioritization.

Skills

Retail data domain expertise

Data & analytics experience

AI and GenAI use cases

Cross-functional liaison

KPI definition & measurement

Demand forecasting

Inventory analytics

Omnichannel analytics

E-commerce analytics

Stakeholder engagement

Data governance

Tools

Data lakes

Data warehouses

BI & reporting tools

Job 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

• 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
• IdentifyAI 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

Skill Requirements

• 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.

Compensation and Benefits

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