Senior Pricing Strategy Lead – Enterprise Solutions

ADP, Inc.; New York (NY); Hybrid; USD 100,000 - 186,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Retirement Match

Wellness Program

Paid Time Off

Job summary

ADP, Inc. is seeking a Senior Manager, Pricing Strategy to drive strategic pricing initiatives for the Global Enterprise Solutions (GES) business.

Based in Roseland, NJ or New York City, the role partners with the Senior Director to develop pricing strategy, analyze performance, and execute key initiatives across enterprise customers. The ideal candidate translates imperfect data into actionable insights, excels in data validation, reconciles complex datasets, and delivers executive-ready

Qualifications

• Bachelor's degree in Business, Strategy, Finance, Economics, Marketing, or a related discipline.
• 5-8 years of experience in pricing, strategy, finance, business analytics, consulting, revenue management, or commercial operations.
• Strong analytical capabilities with sourcing, validating, reconciling, and analyzing large datasets.
• Proven ability to work independently through ambiguous data challenges and develop structured approaches.
• Advanced Excel skills including complex modeling, data manipulation, and reconciliation.
• Experience developing executive presentations and communicating insights to senior leadership.
• Advanced proficiency in PowerPoint and business intelligence tools.

Responsibilities

• Build and maintain pricing datasets by integrating information from multiple systems, reports, and data sources.
• Assemble and reconcile datasets from multiple sources where data structures may not fully align.
• Perform data validation, cleansing, reconciliation, and quality assurance for analytical accuracy.
• Investigate inconsistencies in pricing, customer, product, contract, and sales data; develop solutions to improve data integrity.
• Create repeatable analytical frameworks and processes to improve efficiency and reliability of pricing analysis.
• Partner with Senior Director to support development, execution, and governance of pricing initiatives across GES.
• Assist in evaluating pricing opportunities that drive revenue growth and profitability.
• Support pricing recommendations through financial analysis and market insights.
• Contribute to pricing and packaging strategies for existing and emerging solutions.
• Analyze pricing performance, discount trends, sales productivity, win rates, and promotional effectiveness.
• Develop and maintain executive-level reporting, dashboards, and presentations for senior leadership.
• Translate complex data into clear insights and actionable recommendations.
• Monitor pricing and commercial metrics and identify opportunities for improvement.
• Conduct market research and competitive analyses to identify pricing opportunities and industry trends.
• Support willingness-to-pay studies and pricing experiments.
• Track competitive pricing activity and provide insights for strategic decisions.
• Identify best practices and emerging pricing methodologies for enterprise tech and HCM markets.
• Support development and maintenance of pricing data assets, tools, and policies.
• Identify root-cause data issues that impact pricing decisions and reporting.
• Partner with Sales Operations, Finance, and product teams to improve pricing data quality and accessibility.
• Identify opportunities to simplify pricing structures and improve operational effectiveness.

Skills

Strong analytics

Independent worker

Communication skills

Education

Bachelor's degree in Business, Strategy, Finance, Economics, Marketing, or related

Tools

Excel

PowerPoint

BI tools

SQL

Power BI

Tableau

Alteryx

Python

Job description

ADP, Inc. is seeking a Senior Manager, Pricing Strategy to drive strategic pricing initiatives for the Global Enterprise Solutions (GES) business.

Based in Roseland, NJ or New York City, the role partners with the Senior Director to develop pricing strategy, analyze performance, and execute key initiatives across enterprise customers. The ideal candidate translates imperfect data into actionable insights, excels in data validation, reconciles complex datasets, and delivers executive-ready