Revenue Intelligence Operations Manager, Marketing

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About This Role

The Revenue Intelligence Operations Manager serves as a strategic partner to Marketing leadership, delivering accurate reporting, forecasting, and business insights that drive data-informed decisions. This role owns executive reporting frameworks, forecasting processes, and data governance while collaborating across Marketing, SDR, Finance, Revenue Operations, and Data teams.

Must be located in Central or Eastern Time Zone

What You'll Do

Executive Reporting & Insights

Own the CMO Scorecard, including KPI governance, reporting delivery, enhancements, and executive narratives.

Deliver actionable insights on marketing performance, pipeline health, funnel conversion, and ROI.

Translate complex data into recommendations for senior leadership.

Forecasting & Revenue Intelligence

Lead global marketing and SDR forecasting, including model design, consolidation, variance analysis, and executive reporting.

Partner with Finance and Revenue Operations to improve forecast accuracy and planning.

Develop scalable forecasting frameworks and performance measurement models.

Data Operations & Governance

Ensure scorecard accuracy, metric integrity, data freshness, and reporting consistency.

Establish reporting standards and governance processes across marketing performance metrics.

Proactively identify and resolve data quality issues.

Automation & Analytics

Drive reporting automation and scalable analytics solutions using SQL, Python, Databricks, and AI-enabled tools.

Partner with Data Engineering and Analytics teams to enhance reporting infrastructure and self-service capabilities.

Cross-Functional Leadership

Act as a trusted advisor to Marketing leadership on performance trends and business outcomes.

Collaborate across Marketing, SDR, Revenue Operations, Finance, and Data teams to align metrics and reporting.

Mentor analysts and promote best practices in analytics and reporting.