Solutions Director

Sapsf; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Sapsf is seeking a Solutions Director to lead data, analytics, AI, and digital transformation for our retail business. You will align merchandising, stores, e-commerce, marketing, and supply chain to unlock value from data-driven decisions.

Responsibilities include defining data domains, governance, KPIs, and leading dashboards and insights to support demand forecasting, inventory optimization, and customer personalization. This role requires senior leadership in retail analytics.

Qualifications

• 20 years in retail, e-commerce, consumer goods, or omnichannel retail.
• Deep understanding of category management, promotions, and inventory planning.
• Extensive data and analytics experience across business domains.
• Experience with data lakes and warehouses, BI and reporting solutions.
• Knowledge of customer analytics, supply chain analytics, and AI initiatives.
• Strong grasp of retail data models.

Responsibilities

• Lead category management, pricing, and promotions strategies.
• Oversee store operations, e-commerce, and omnichannel initiatives.
• Drive supply chain and inventory analytics and optimization.
• Lead customer loyalty, CRM, and personalization analytics.
• Define data domains, governance, and KPIs; ensure data quality.
• Partner with analytics teams to build dashboards and insights.
• Translate business needs into analytics requirements; drive workshops.
• Align cross-functional stakeholders on analytics priorities.

Skills

Retail leadership

Category management

Promotions

Inventory planning

Data analytics

Data lakes/warehouses

BI & reporting

Customer analytics

Supply chain analytics

AI & ML initiatives

Retail data models

Job description

Career Opportunities: Solutions Director (172304)

Requisition ID172304-Posted09/25/2026

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