Senior Manager of Pricing Data Science

Salary: $160,000-$180,000 About the Company Harnham is partnering with a leading national provider of home services and parts distribution, serving both direct-to-consumer and business-to-business markets. With a vast customer base and a strong market presence, our client is undergoing a data-driven transformation to optimize pricing strategies and enhance profitability. As they expand their analytics capabilities, they are seeking a Senior Manager of Pricing Data Science to lead the development and execution of pricing models that maximize revenue and maintain competitiveness across their service operations and parts distribution business.

The Role: As the Senior Manager of Pricing Data Science, you will play a pivotal role in shaping pricing frameworks that drive business performance. This strategic leadership position requires expertise in pricing optimization, statistical modeling, and data-driven decision-making across both B2B and B2C channels.

Key Responsibilities: Develop and execute pricing strategies for B2B and B2C channels, focusing on service operations and parts distribution. Build analytical frameworks to assess price elasticity, customer behavior, and market trends. Lead quantitative analysis of historical pricing data to uncover revenue opportunities and validate pricing models. Design standardized pricing models that incorporate labor costs, parts costs, and overhead while maintaining competitive positioning. Develop and maintain pricing tools and dashboards to track performance and inform decision-making. Collaborate with operations teams to understand cost structures and implement profitable pricing strategies. Conduct competitive analysis to refine pricing approaches and strengthen market positioning. Drive continuous innovation in pricing methodologies using advanced analytics and AI-driven insights. Your Skills and Experience

Required: 5-6 years of experience in pricing strategy and analytics. Proven expertise in developing pricing strategies for both B2B and B2C markets. Strong proficiency in SQL, Python, or R for data analysis. Experience applying AI and machine learning techniques to pricing optimization. Ability to translate complex data into actionable pricing strategies. Strong stakeholder management and communication skills.

Preferred: Experience in service industry pricing or parts distribution. Background in field service operations or the appliance industry. Familiarity with price optimization software and tools. Experience with price elasticity modeling and customer behavior analysis.

How to Apply: If you're a data-driven pricing expert looking to make a high-impact move, apply now! For more information, please reach out to Oisin Ennis. Seniority level Mid-Senior level Employment type Full-time Job function Finance Industries Retail Office Equipment