Senior Manager, Revenue Operations & Commercial Analytics

Join a growing medical technology organization where data-driven decisions help accelerate revenue growth and improve healthcare outcomes. As Senior Manager, Revenue Operations & Commercial Analytics, you will lead commercial intelligence, sales forecasting, pipeline management, and executive reporting to support strategic business priorities. Working closely with Sales, Marketing, Finance, Supply Chain, Manufacturing, and Product Management, you will transform complex datasets into actionable insights that strengthen commercial performance. You will oversee forecasting methodologies, improve sales funnel visibility, and align demand signals with operational planning. Your expertise in analytics, pricing, and market intelligence will help identify growth opportunities, optimize resource allocation, and improve profitability. This highly visible leadership role offers the opportunity to influence senior stakeholders and build scalable business intelligence capabilities. You will contribute to a collaborative, mission-driven environment focused on delivering innovative medical imaging technologies to healthcare providers and patients.

• Lead analysis of market opportunities, sales performance, pipeline health, and customer penetration to identify growth opportunities.

• Develop insights that support territory planning, account prioritization, and commercial strategy.

• Partner with Marketing to build and improve market visibility models that guide investment and resource allocation.

• Analyze installed-base data to identify expansion opportunities, assess competitive positioning, and develop targeted growth initiatives.

• Monitor industry trends, market dynamics, and customer adoption patterns to inform strategic decisions.

• Develop and manage revenue forecasts using pipeline data, historical performance, market intelligence, and sales trends.

• Collaborate with Supply Chain, Manufacturing, and Product teams to translate commercial demand into production planning requirements.

• Support product- and component-level demand forecasting, particularly for new products and offerings with long lead times.

• Identify potential supply shortages, capacity constraints, and other risks that could affect revenue realization and customer commitments.

• Partner with Sales Leadership to improve pipeline visibility, opportunity accuracy, and forecast reliability.

• Continuously improve forecasting methodologies through advanced analytics, predictive techniques, and scenario modeling.

• Design, develop, and enhance scalable reporting and business intelligence solutions using CRM, market intelligence, pricing, financial, and operational data.

• Build self-service analytics capabilities that improve visibility, accountability, and data-driven decision-making across the organization.

• Analyze complex datasets and translate findings into actionable recommendations and executive-level presentations.

• Establish data governance standards, reporting definitions, and quality processes to ensure consistency and reliability.

• Lead root-cause analysis and data quality improvement initiatives across commercial systems.

• Collaborate with cross-functional stakeholders to identify reporting needs, implement analytics solutions, and improve business processes.

• Support pricing strategy development through market analysis, margin assessments, and deal-level evaluations.

• Maintain commercial pricing data, price books, and supporting analytical tools.

• Evaluate pricing effectiveness and identify opportunities to improve revenue and profitability.

• Partner with Sales, Marketing, Finance, and Product teams on commercial initiatives, strategic projects, and business cases.

The ideal candidate combines advanced analytical expertise with strong commercial judgment, leadership capabilities, and experience supporting business growth in medical technology or a related healthcare industry.

• Bachelor's degree in Business, Analytics, Finance, Economics, Engineering, Statistics, Mathematics, Data Science, or a related field. A master's degree, MBA, or MS in Analytics is preferred.

• At least eight years of progressive experience in Revenue Operations, Sales Operations, Commercial Analytics, Business Intelligence, Forecasting, or a related discipline.

• Experience in medical devices, healthcare technology, life sciences, diagnostic imaging, capital equipment, or a comparable industry.

• Demonstrated success supporting executive leadership through strategic analytics, business insights, and performance management.

• Strong expertise in pipeline management, sales forecasting, revenue planning, funnel governance, and executive reporting.

• Advanced proficiency in Excel, SQL, Power BI, Tableau, and other data analysis and visualization tools.

• Strong understanding of commercial operations, CRM systems, sales processes, pricing frameworks, and revenue drivers.

• Experience designing forecasting methodologies, scenario models, and predictive analytics solutions to support business planning.

• Excellent analytical, problem-solving, communication, and presentation skills, including the ability to translate complex data into clear business recommendations.

• Proven ability to influence stakeholders and align cross-functional teams across Sales, Marketing, Supply Chain, Manufacturing, Finance, and Product Management.

• Strong organizational skills and the ability to manage complex priorities while supporting strategic business objectives.

Preferred qualifications:

• Experience with Salesforce, SAP Cloud for Customer, Microsoft Dynamics, or equivalent CRM platforms.

• Knowledge of Sales and Operations Planning (S&OP), Integrated Business Planning (IBP), demand planning, and supply planning processes.

• Experience integrating third-party market intelligence, customer information, and internal performance metrics to inform commercial strategy.

• Familiarity with healthcare reimbursement, Group Purchasing Organizations (GPOs), Integrated Delivery Networks (IDNs), channel distribution models, and healthcare market analytics.

• Experience developing enterprise-level KPI frameworks, data governance models, and reporting standards.

• Familiarity with Python, R, Alteryx, or similar tools for advanced analytics, automation, predictive modeling, and forecasting.