Pricing Coordinator

Pricing Coordinator FS Builder Resources Lewisville, TX 75056 FS Builder Resources Full job description Pricing Coordinator Job Summary This Pricing Coordinator is responsible for driving data-informed pricing and competitive intelligence strategies for multifamily projects by leveraging advanced analytics and AI-driven tools. The position analyzes market trends, customer behavior, and competitive dynamics to identify pricing opportunities, forecast demand, and optimize revenue, margin, and market share. The role partners closely with the Director of Multifamily and National Purchasing Manager to develop and maintain a centralized database of vendors, pricing standards, labor rates, value-engineered products, and bid documentation. It also establishes standardized submittal templates and processes to improve scalability, efficiency, and cross-functional alignment. Utilizing predictive analytics, scenario modeling, and price elasticity analysis, the position delivers actionable insights through automated reporting and real-time pricing adjustments. This role collaborates across procurement, sales, finance, merchandising, and operations to align pricing strategies with overall business objectives. Additionally, the position leads and develops the multifamily pricing team, providing guidance on analytics tools, AI applications, and database usage while supporting talent and performance management in coordination with senior leadership. Continuous improvement of pricing methodologies through emerging technologies is a key responsibility to ensure accurate, efficient, and scalable decision-making. Essential Job Functions Engages in competitive intelligence by collecting, analyzing, and interpreting data on market trends, customer behavior, and competitive dynamics. Utilizes both traditional analytical methods and AI-driven tools (e.g., predictive analytics, machine learning models, and data visualization platforms) to assess market conditions, forecast demand, and identify pricing opportunities. Will be integral in the development, maintenance, and implementation of a database of documents specific to multifamily projects with the Director of Multifamily and the National Purchasing Manager including: a vendor database with contacts, data-driven pricing strategies and standards that optimize revenue, margin, and market share for FSBR Multifamily, value engineering products, labor rates, and ancillary products, as well as bid documents. Develop standards for submittal templates and processes with the Director of Multifamily and the National Purchasing Manager to create scalable efficiencies and timelines with the merchandising team. Leverages AI-enabled insights to perform scenario modeling, price elasticity analysis, and real-time pricing adjustments, as well as analytics on vendors and products to provide actionable insights on market growth, product performance, and pricing effectiveness through automated reporting. Collaborates cross-functionally with procurement, sales, finance, merchandising, and operations to align multifamily pricing strategies with business objectives. Continuously evaluates and enhances pricing methodologies by integrating emerging AI technologies, ensuring accuracy, efficiency, and scalability in decision-making processes. Leads, trains, and directs the work of multifamily pricing team members, including guidance on the use of advanced analytics and AI tools and databases and will collaborate with the Director of Multifamily and National Purchasing Manager on personnel decisions and directives. Qualifications, Education, and Experience Comprehensive knowledge of pricing strategy, market analytics, and advanced data analysis techniques, including familiarity with AI/ML-based pricing tools and platforms. Demonstrated ability to perform complex tasks using both established methodologies and emerging technologies. Experience interpreting large datasets and translating insights into actionable pricing strategies. Exposure to predictive modeling, automation tools, or AI-driven business intelligence platforms is strongly preferred. Typically requires a bachelor's degree in business, finance, economics, data science, or a related field and at least 10 years of relevant experience. Working Conditions Office-based Cognitive and Physical Demands Ability to analyze data and interpret trends for strategic decision-making. Strong organizational and time-management skills to handle multiple deadlines. Effective communication skills.