Senior Manager, Revenue Operations & Commercial Analytics

Carestream•Colorado, NY

About The Position

Carestream is seeking a strategic, data-driven Senior Revenue Operations & Commercial Analytics Manager to lead commercial intelligence, forecasting, pipeline management, and executive analytics within a medical device organization. The role is a highly visible business partner to Commercial Leadership, Marketing, Supply Chain, Manufacturing, and Product Management. It transforms complex market and sales data into insights that drive revenue growth, improve forecast accuracy, and support delivery of medical technologies to healthcare providers and patients. The position owns sales-funnel integrity, informs strategic decisions, and aligns demand signals with operational planning. It calls for advanced analytical expertise, business acumen, and experience in medical devices, healthcare technology, diagnostics, or another regulated healthcare industry, with an understanding of commercial operations, demand planning, capital equipment sales cycles, channel and distribution management, and healthcare purchasing dynamics. The role leads analysis of market opportunities, sales performance, pipeline health, customer penetration, and install-base data; develops revenue forecasts and supports demand and production planning; builds scalable reporting and business intelligence solutions; and supports pricing strategy and commercial performance. It also establishes data governance and quality practices, communicates findings to executives, and works across functions to improve forecasting, reporting, and commercial decision-making.

Requirements

Bachelor’s degree in Business, Analytics, Finance, Economics, Engineering, Statistics, Mathematics, Data Science, or a related field.
At least 8 years of progressive experience in Revenue Operations, Sales Operations, Commercial Analytics, Business Intelligence, Forecasting, or related disciplines.
Experience in medical devices, healthcare technology, life sciences, diagnostic imaging, or capital equipment industries.
Demonstrated success supporting executive leadership through strategic analytics, business insights, and performance management.
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, CRM systems, sales processes, pricing frameworks, and revenue drivers.
Experience developing forecasting methodologies, scenario models, and predictive analytics for business planning.
Strong analytical, problem-solving, communication, and presentation skills, including the ability to translate complex data into business recommendations.
Ability to influence stakeholders and drive cross-functional alignment across Sales, Marketing, Supply Chain, Manufacturing, Finance, and Product teams.

Nice To Haves

Master’s degree (MBA, MS Analytics, or related discipline).
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 using Python, R, Alteryx, or similar tools for advanced analytics, automation, predictive modeling, and forecasting.

Responsibilities

Analyze market opportunities, sales performance, pipeline health, and customer penetration to identify growth opportunities.
Develop insights for territory planning, account prioritization, and commercial strategy.
Partner with Marketing to develop and enhance market visibility models for investment and resource allocation decisions.
Use install-base data to identify expansion opportunities, competitive positioning, and targeted growth initiatives.
Monitor industry trends, market dynamics, and customer adoption patterns.
Develop and manage revenue forecasts using 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 product and component level, particularly for new or long-lead-time products.
Identify risks, shortages, and capacity constraints that could affect revenue realization and customer commitments.
Partner with Sales Leadership to improve funnel visibility, opportunity accuracy, and forecast reliability.
Improve forecasting methodologies through advanced analytics and scenario modeling.
Design, build, and enhance scalable reporting and business intelligence solutions using CRM, market intelligence, pricing, financial, and operational data.
Create and promote self-service analytics capabilities across the organization.
Analyze complex datasets and present actionable insights, recommendations, and executive-level findings.
Establish and maintain data governance standards, reporting definitions, and data quality processes for commercial reporting.
Lead root-cause analysis and data quality improvement initiatives across commercial systems.
Work with cross-functional stakeholders to identify reporting needs, develop analytics solutions, and drive continuous improvement.
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.