Senior Technical Specialist

City and County of San Francisco, California

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.

• 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

• 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

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.