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Global Pricing Manager, Waters Biosciences

Job in San Diego, San Diego County, California, 92189, USA
Listing for: US Diversity Job Search
Full Time position
Listed on 2026-09-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 115500 - 184800 USD Yearly USD 115500.00 184800.00 YEAR
Job Description & How to Apply Below

As a result of the combination of the BD Biosciences and Diagnostic Solutions business with Waters Corporation (NYSE: WAT), by applying to this role, you will be applying for a position with Waters. Waters is a global leader in life sciences, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, Waters' innovative portfolio harnesses deep scientific expertise across biology, chemistry, and physics.

Waters collaborates with analytical laboratories around the world to advance the release of effective, high-quality medicines, assure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combatting growing antibiotic resistance. Through a shared culture of relentless innovation, Waters' passionate team of approximately 16,000 colleagues partner with customers to turn scientific challenges into breakthroughs that improve lives worldwide.

We are the people who give possibilities purposeBD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it's no small feat. It takes the imagination and passion of all of us-from design and engineering to the manufacturing and marketing of our billions of Med Tech products per year-to look at the impossible and find transformative solutions that turn dreams into possibilities.

Job Description Overview

The Global Pricing Manager will use advanced analytics and commercial insights to shape global pricing strategy, improve price realization and margin, and build scalable decision tools across products, customers, channels, and regions.

The ideal candidate combines strategic pricing expertise with strong business analytics, data science, and data management capabilities.

Core Responsibilities
  • Lead pricing strategy and analytics across price architecture, segmentation, annual price actions, discounting, and margin optimization.
  • Build business cases and models that quantify revenue, volume, mix, elasticity, and profitability trade-offs.
  • Analyze customer, product, channel, regional, and market data to identify pricing opportunities and risks.
  • Translate complex findings into clear recommendations for senior business leaders.
Analytics, Data & Technology
  • Build pricing models, dashboards, and KPIs covering price-volume-mix, price waterfalls, leakage, elasticity, segmentation, and customer profitability.
  • Develop scalable data models and curated datasets in partnership with data engineering and IT.
  • Strengthen pricing data quality, governance, definitions, and accessibility.
  • Apply statistical, machine-learning, AI, and automation techniques to improve pricing decisions and execution.
Stakeholder Leadership
  • Partner with Pricing, Commercial, Finance, Marketing, and IT to frame business questions and implement data-driven solutions.
  • Influence cross-functional decisions through analytical rigor, commercial judgment, and concise executive communication.
  • Create reusable tools and methodologies that raise analytical capability across the organization.
Qualifications
  • Bachelor's degree required with a focus in Business Analytics, Data Science, Statistics, Economics, Finance, Engineering, Computer Science, Operations Research, or a related quantitative field; advanced degree preferred
  • 5+ years of experience in strategic pricing, pricing analytics, revenue management, commercial analytics, or data science required
  • Advanced SQL and Advanced Excel skills required in addition to Python or R, and Power BI or Tableau.
  • Experience with large datasets, analytical modeling, data modeling, data pipelines, statistical methods, machine…
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