Senior Technical Specialist

City and County of San Francisco, California 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. Key Responsibilities 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 Skill Requirements 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 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. 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. #J-18808-Ljbffr HCL Technologies