Senior Manager, Revenue Operations & Commercial Analytics

Carestream Health

New York (NY)

Sur place

USD 120 000 - 140 000

Plein temps

Il y a 4 jours
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Résumé du poste

Carestream Health is seeking a Senior Manager, Revenue Operations & Commercial Analytics to lead forecasting, pipeline management, and executive analytics across Commercial, Marketing, Supply Chain, Manufacturing, and Product teams. This role converts complex market and sales data into actionable insights to drive revenue growth and forecast accuracy in a regulated healthcare environment.

The ideal candidate combines advanced analytics with strong business acumen and experience in medical

Qualifications

  • 8+ years of progressive experience in Revenue Operations, Sales Operations, Commercial Analytics, BI or forecasting.
  • Experience in medical device, healthcare technology, life sciences, diagnostic imaging, or regulated healthcare industries.
  • Proven ability to influence stakeholders and lead cross-functional teams.
  • Strong analytical, communication, and presentation skills.
  • Experience with forecasting methodologies, scenario modeling, and executive reporting.
  • Proven ability to translate data into actionable business recommendations.

Responsabilités

  • 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.
  • 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.

Connaissances

Revenue Operations
Forecasting
Executive analytics
Data storytelling
SQL
Power BI
Tableau
Excel
Funnel governance
Cross-functional collaboration

Formation

Bachelor's degree
Master's degree preferred

Outils

Salesforce
SAP Cloud for Customer
Microsoft Dynamics
Alteryx
Python
R

Description du poste

Senior Manager, Revenue Operations & Commercial Analytics

Images that Matter. With Teams that Matter.

Carestream is a global provider of medical imaging systems and solutions; x-ray imaging systems for non-destructive testing; and contract manufacturing.

And the work we do matters. Our products and solutions help make everyday heroes days a little easier, improve patients’ lives, and makes a difference in our communities. And it couldn’t be done without our team of hard-working, talented and caring individuals.

We are proud to have been recognized by our employees and alumni as one of America’s Best Midsize Employers and America’s Best Employers for Engineers.

Compensation: Compensation: $120,000 - $140,000 per year

*This range reflects Carestream’s good faith estimate to pay fairly as starting wage. Offers will be tailored within the range based on the selected candidate’s experience, industry knowledge, technical and communication skills, and other factors that may prove relevant during the interview process, as well as geographic market differentials for the position.

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.

This position is well suited for a leader who enjoys solving complex business challenges, influencing senior leaders, and building scalable analytics capabilities in a regulated, mission-driven healthcare environment.

Position Responsibilities:
  • 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.
  • 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.
  • 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.
Carestream is an Equal Opportunity Employer

Carestream is an equal opportunity organization. We recruit, employ, train, compensate, and promote without regard to race, religion, creed, color, national origin, age, gender, sexual orientation, gender identity, marital status, disability, veteran status, or any other basis protected by applicable federal, state or local law.

Applying for a job with Carestream

All applicants must complete the on-line application process. Carestream is committed to working with and providing reasonable accommodations to individuals with disabilities. If you require assistance or an accommodation because of a disability to participate in the application process, please click accommodations

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