Canada
Remote only
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Manager, Revenue Operations & Commercial Analytics based in Canada.
The Senior Manager, Revenue Operations & Commercial Analytics will lead commercial intelligence, revenue forecasting, and performance analytics within a dynamic healthcare technology environment. This strategic role will transform complex sales, market, and operational data into actionable insights that support revenue growth, profitability, and informed executive decision-making. Working closely with Sales, Marketing, Finance, Supply Chain, Manufacturing, and Product teams, you will strengthen pipeline visibility and align commercial demand with operational capacity. You will also develop scalable business intelligence solutions, improve forecasting accuracy, and identify opportunities to optimize pricing and commercial performance. By establishing robust data governance practices and self-service analytics capabilities, you will enhance transparency and accountability across the organization. This is an opportunity to influence business strategy, lead cross-functional initiatives, and help bring innovative medical technologies to healthcare providers and patients.
Commercial Analytics & Market Intelligence
Lead the analysis of market opportunities, sales performance, pipeline health, and customer penetration to identify growth opportunities and improve commercial effectiveness.
Develop actionable insights to support territory planning, account prioritization, sales strategies, and resource allocation.
Partner with Marketing to build and improve market visibility models that guide investment decisions and commercial planning.
Analyze installed-base data to identify expansion opportunities, evaluate competitive positioning, and develop targeted growth initiatives.
Monitor industry trends, customer adoption patterns, and market dynamics to inform strategic decisions.
Revenue Forecasting & Sales Operations Planning
Develop and maintain revenue forecasts using pipeline data, historical performance, market intelligence, and sales trends.
Collaborate with Supply Chain, Manufacturing, and Product teams to translate commercial demand forecasts into production and operational planning requirements.
Support demand forecasting at product and component levels, particularly for new products and offerings with long lead times.
Identify potential supply risks, shortages, and capacity constraints that could affect revenue realization and customer commitments.
Work with Sales Leadership to improve pipeline visibility, opportunity accuracy, funnel governance, and forecast reliability.
Continuously refine forecasting methodologies using advanced analytics, predictive techniques, and scenario modeling.
Business Intelligence & Analytics
Design, develop, and enhance scalable reporting and business intelligence solutions by integrating data from CRM, market intelligence, pricing, financial, and operational systems.
Build self-service analytics capabilities that improve transparency, accountability, and data-driven decision-making across teams.
Analyze complex datasets and translate findings into practical recommendations, business insights, and executive-level presentations.
Establish and maintain data governance standards, reporting definitions, and quality controls to ensure consistent, reliable commercial reporting.
Lead root-cause investigations and data quality improvement initiatives across commercial systems.
Partner with cross-functional stakeholders to identify reporting needs, develop analytics solutions, and improve business processes.
Pricing & Commercial Performance
Support pricing strategy development through market analysis, margin assessments, and deal-level evaluations.
Maintain commercial pricing data, price books, and supporting analytical tools to ensure accuracy and consistency.
Evaluate pricing effectiveness and identify opportunities to improve revenue generation, margins, and overall profitability.
Collaborate with Sales, Marketing, Finance, and Product teams to assess commercial initiatives, develop business cases, and support strategic decisions.
A bachelor's degree in Business, Analytics, Finance, Economics, Engineering, Statistics, Mathematics, Data Science, or a related field. A master's degree, MBA, or master's qualification in analytics is preferred.
At least eight years of progressively responsible experience in Revenue Operations, Sales Operations, Commercial Analytics, Business Intelligence, Forecasting, or a related discipline.
Professional 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, performance management, and data-driven recommendations.
Proven expertise in sales pipeline management, revenue forecasting, revenue planning, funnel governance, and executive reporting.
Advanced proficiency in Microsoft Excel, SQL, Power BI, Tableau, and other data analysis and visualization tools.
Strong understanding of commercial operations, CRM platforms, sales processes, pricing frameworks, and the key drivers of revenue and profitability.
Experience developing forecasting methodologies, scenario models, and predictive analytics to support commercial and operational planning.
Excellent analytical, critical-thinking, and problem-solving skills, with the ability to interpret complex data and translate findings into clear business recommendations.
Strong communication and presentation skills, including the ability to explain analytical insights to senior leaders and non-technical stakeholders.
Proven ability to influence stakeholders, build alignment, and lead cross-functional initiatives involving Sales, Marketing, Supply Chain, Manufacturing, Finance, and Product teams.
Experience with CRM platforms such as Salesforce, SAP Cloud for Customer, Microsoft Dynamics, or equivalent systems is an asset.
Knowledge of Sales and Operations Planning (S&OP), Integrated Business Planning (IBP), demand planning, and supply planning processes is preferred.
Experience combining 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 is an advantage.
Experience developing enterprise-level KPI frameworks, data governance models, reporting standards, and performance management processes is desirable.
Familiarity with Python, R, Alteryx, or similar tools for analytics automation, predictive modeling, and forecasting is an asset.
Competitive compensation: Annual salary range of USD $120,000–$140,000, as stated in the original posting. The final offer may depend on experience, industry knowledge, technical and communication skills, and geographic market factors. Compensation for the Canadian-based role should be confirmed with the hiring team.
Remote work: The original posting identifies a remote work location, offering flexibility in the work arrangement. The precise arrangements for candidates based in Canada should be confirmed.
Strategic leadership opportunity: Influence revenue growth, commercial planning, pricing, and business performance at a senior level.
Cross-functional collaboration: Partner with commercial, financial, operational, and product leaders on high-impact business initiatives.
Advanced analytics exposure: Work with business intelligence platforms, predictive analytics, forecasting methodologies, and integrated commercial data.
Industry impact: Contribute to commercial strategies supporting medical technologies and healthcare solutions.
Professional development: Strengthen expertise in revenue operations, commercial analytics, executive reporting, and strategic decision-making.
Travel expectations: The original posting indicates approximately 0–30% travel, subject to confirmation for the Canadian-based arrangement.
