Senior Manager, Revenue Operations & Commercial Analytics

Position Summary

We are seeking a strategic, data-driven Senior Revenue Operations & Commercial Analytics Manager to lead commercial intelligence, forecasting, pipeline management, and executive analytics within a growing medical device organization. This highly visible role serves as a critical business partner to Commercial Leadership, Marketing, Supply Chain, Manufacturing, and Product Management, transforming complex market and sales data into actionable insights that drive revenue growth, improve forecast accuracy, and support the delivery of innovative medical technologies to healthcare providers and patients.

The ideal candidate combines advanced analytical expertise with strong business acumen and experience in medical device, healthcare technology, diagnostics, or other regulated healthcare industries. They possess a deep understanding of commercial operations, demand planning, capital equipment sales cycles, channel and distribution management, and the market dynamics that influence healthcare purchasing decisions. The role owns the integrity of the sales funnel, influences strategic decision-making, and aligns demand signals with operational planning.

Position Responsibilities

Commercial Analytics & Market Intelligence

• Lead the analysis of market opportunities, sales performance, pipeline health, and customer penetration to identify growth opportunities.
• Develop actionable insights that support territory planning, account prioritization, and commercial strategy.
• Partner with Marketing to create and enhance market visibility models that guide investment and resource allocation decisions.
• Leverage install-base data to identify expansion opportunities, competitive positioning, and targeted growth initiatives.
• Monitor industry trends, market dynamics, and customer adoption patterns to support strategic decision-making.

Revenue Forecasting & Sales Operations Planning

• Develop and manage revenue forecasts utilizing pipeline data, historical performance, market insights, and sales trends.
• Collaborate with Supply Chain, Manufacturing, and Product teams to translate commercial demand into production planning requirements.
• Support demand forecasting at both the product and component level when necessary, particularly for new or long-lead-time products.
• Identify potential risks, shortages, and capacity constraints that could impact revenue realization and customer commitments.
• Partner closely with Sales Leadership to improve funnel visibility, opportunity accuracy, and forecast reliability.
• Drive continuous improvement of forecasting methodologies through advanced analytics and scenario modeling.

Business Intelligence & Analytics

• Design, build, and enhance scalable reporting and business intelligence solutions using data from CRM, market intelligence, pricing, financial, and operational systems.
• Create and promote self-service analytics capabilities that improve visibility, accountability, and data-driven decision-making across the organization.
• Analyze complex datasets and translate findings into actionable business insights, recommendations, and executive-level presentations.
• Establish and maintain data governance standards, reporting definitions, and data quality processes to ensure consistency and integrity across commercial reporting.
• Lead root-cause analysis and data quality improvement initiatives across commercial systems.
• Partner with cross-functional stakeholders to identify reporting needs, develop analytics solutions, and drive continuous improvement initiatives.

Pricing & Commercial Performance

• Support pricing strategy development through market, margin, and deal-level analysis.
• Manage and maintain commercial pricing data, price books, and supporting analytics.
• Evaluate pricing effectiveness and identify opportunities to improve revenue and profitability.
• Partner with Sales, Marketing, Finance, and Product teams on commercial initiatives and business cases.

Required Skills & Education

• Bachelor's degree in Business, Analytics, Finance, Economics, Engineering, Statistics, Mathematics, Data Science, or a related field. Master's degree (MBA, MS Analytics, or related discipline) preferred.
• 8+ years of progressive experience in Revenue Operations, Sales Operations, Commercial Analytics, Business Intelligence, Forecasting or related disciplines.
• Experience within the medical device, healthcare technology, life sciences, diagnostic imaging, or capital equipment industries.
• Demonstrated success supporting executive leadership through strategic analytics, business insights and performance management.
• Proven expertise in pipeline management, sales forecasting, revenue planning, funnel governance, and executive reporting.
• Advanced proficiency in Excel, structured query language, Power BI, Tableau, SQL and other data visualization tools.
• Strong understanding of commercial operations, customer relationship management systems, sales processes, pricing frameworks, and revenue drivers.
• Experience developing forecasting methodologies, scenario models, and predictive analytics to support business planning.
• Exceptional analytical, problem-solving, communication, and presentation skills with the ability to translate complex data into business recommendations.
• Proven ability to influence stakeholders and drive cross-functional alignment across Sales, Marketing, Supply Chain, Manufacturing, Finance, and Product teams.

Desired Skills

• Experience with Salesforce, SAP Cloud for Customer, Microsoft Dynamics, or equivalent CRM platforms.
• Knowledge of Sales & Operations Planning (S&OP), Integrated Business Planning (IBP), demand planning, and supply planning processes.
• Experience combining third-party market intelligence, customer data, and internal performance metrics to drive commercial strategy.
• Familiarity with healthcare reimbursement, GPO/IDN structures, channel distribution models, and healthcare market analytics.
• Experience building enterprise-level key performance indicator frameworks, governance models, and reporting standards.
• Experience utilizing Python, R, Alteryx, or similar tools for advanced analytics, automation, predictive modeling, and forecasting.