Senior Manager, Data Analytics and Pricing

Key Responsibilities

• Lead data analytics and pricing support for CAD, including data pipelines, analytical models, pricing analytics, and AI use cases.
• Lead, coach, and develop a high-performing analytics team, including direct and indirect leadership of data and pricing analysts.
• Partner with cross-functional stakeholders to translate business needs into actionable insights.
• Improve data models, reporting standards, automation, and adoption of analytics tools.
• Build and improve data infrastructure, validation processes, and analytical workflows to strengthen data quality, accessibility, consistency, and speed of insight.
• Develop and enhance tools and dashboards to measure key commercial and financial performance metrics, including revenue growth, margin performance, price impact, backlog management, customer/product trends, share gain, win/loss, and sales effectiveness.
• Lead pricing analytics and pricing strategy execution, including price realization, annual price roll support, discount management, price setting, and performance tracking.
• Provide data analytical support for monthly and quarterly business reviews, strategic planning, operating mechanisms, leadership reviews, and other division-level business priorities.
• Drive stakeholder engagement, user training, tool adoption, documentation, and continuous improvement of analytics solutions.

Minimum Requirements / Qualifications

• Bachelor’s degree in finance, business, mathematics, statistics, engineering, data analytics, or related field; advanced degree preferred.
• 8–10+ years of experience in finance, data analytics, strategy, pricing, business intelligence, data enablement, or related fields.
• Prior experience leading finance or analytics teams, preferably in a matrixed and global organization.
• Strong business acumen, analytical problem-solving, communication, and influencing skills, with ability to connect data and analytics to practical business outcomes.
• Experience working with large, complex datasets and improving data quality, automation, reporting efficiency, and insight generation.
• Able to manage multiple priorities, lead through ambiguity, and operate effectively across functions and geographies.
• Working knowledge of pricing, margin analysis, commercial performance management, promotions, discounting, or revenue growth management preferred.
• Ability to travel as needed, approximately 10–15%.

Preferred Qualifications

• Experience in life sciences, analytical instruments, diagnostics, industrial products, or other complex B2B environments.
• Experience supporting commercial, finance, pricing, or product management organizations.
• Familiarity with enterprise data platforms, CRM/ERP systems, sales reporting, pricing systems, and business intelligence environments.