Pricing Manager

Job Details

Level ExperiencedJob Location Zelienople, PARemote Type Optional Work from HomePosition Type Full Time

Reporting to the Vice President – Sales Operations, the Pricing Manager will be responsible for developing, implementing, managing, and improving dynamic pricing strategies to maximize profitability and market share. This role requires a deep understanding of pricing tools, market dynamics, competitive analysis, and pricing models.

Key Responsibilities

• Manage implementation of Company-wide strategic pricing programs to achieve business objectives.
• Utilize AI and machine learning tools to analyze market trends and optimize pricing decisions.
• Conduct market research and competitive analysis to inform pricing strategies.
• Collaborate with sales, marketing, and product teams to align pricing strategies with business goals.
• Monitor and analyze pricing performance and make recommendations for adjustments.
• Provide training and support to sales and customer service teams on pricing strategies and tools.
• Analyze pricing data and market trends to develop pricing strategies that maximize profitability and revenue growth.
• Conduct research and gather data on customer behavior, competitive pricing, and market trends to recommend pricing adjustments and promotions.
• Collaborate with cross-functional teams, including Sales, Marketing, and Executive Management, to identify pricing opportunities and risks.
• Create and maintain pricing models and tools that enable effective pricing decisions.
• Assist in the development and implementation of pricing policies and procedures.
• Develop and maintain dashboards and reports that provide insights into pricing performance and trends.

• Bachelor’s degree in business, Finance, Economics, or a related field.
• Proven experience in pricing management, preferably in the industrial distribution industry.
• Proficiency in pricing tools and software, preferably using SPARXiQ/Strategic Pricing programs.
• Strong analytical skills and the ability to interpret complex data.
• Experience with AI and machine learning tools for pricing optimization.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced and dynamic environment.

Originally posted on Himalayas

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