Revenue Intelligence Operations Manager, Marketing

Veeam is a data and AI trust company specializing in data resilience and data security posture management. The Revenue Intelligence Operations Manager partners with Marketing leadership to deliver executive reporting, forecasting, data governance, and actionable business insights. The role also leads automation, analytics, and cross-functional initiatives across Marketing, SDR, Finance, Revenue Operations, and Data teams.

Responsibilities:

• 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
• 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
• 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
• 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
• 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

Requirements:

• Must be located in Central or Eastern Time Zone
• Advanced SQL and strong Python skills for analytics, automation, and reporting
• Experience with Databricks, cloud data environments, and business intelligence tools
• Expertise in executive reporting, KPI development, and data governance
• Strong executive communication and stakeholder management skills
• Proven ability to translate analytics into business recommendations
• Experience managing multiple priorities and leading cross-functional initiatives
• Experience developing forecasting models, scorecards, and performance frameworks
• Strong understanding of marketing funnel metrics, pipeline analytics, and revenue operations
• Expertise in variance analysis, trend identification, and business performance reporting
• Bachelor's degree in Analytics, Business, Finance, Computer Science, Statistics, Marketing, or related field
• 7+ years of experience in Revenue Operations, Revenue Intelligence, Marketing Operations, Analytics, or a related discipline
• Experience supporting executive leadership through forecasting, reporting, and strategic insights