Senior Manager, GTM Analytics and AI
Cority
Mandate:
- Build GTM-Ready Intelligence: Align advanced analytics and data models to core GTM strategies and revenue motions
- Embed AI into Revenue Execution: Operationalize AI-driven insights across forecasting, pipeline management, and GTM workflows.
Responsibilities:
- Revenue Strategy & GTM Initiatives
- Own end-to-end revenue analytics supporting annual revenue planning, territory design, quota setting, capacity modeling, and forecasting
- Partner with Sales, Marketing, Finance, and RevOps leadership to define GTM KPIs, pipeline health metrics, and growth levers
- Architect executive-ready dashboards and insights that drive weekly, monthly, and quarterly revenue operating cadences
- Provide executive visibility into performance and forecast accuracy
- Drive transparency, predictability, and scalability in GTM measurement
- Lead analytics for:
- Annual Operating Plan (AOP) and revenue target setting
- Pipeline generation, conversion, and velocity optimization
- Expansion, retention, and cohort performance analysis
- Translate GTM strategy into data products that influence real-time decisions, not static reporting
- Serve as a strategic advisor to revenue leadership, proactively surfacing risks and opportunities through data and AI insights
- Analytics Engineering & AI Execution
- Partner with Analytics function to design and build scalable data models across CRM, marketing automation, product usage, and financial systems
- Own the analytics engineering layer (semantic models, metrics definitions, transformations, documentation)
- Ensure data quality, governance, and metric consistency across all GTM reporting
- Design and deploy AI-powered capabilities and applications, including:
- Enterprise AI Search across GTM data
- AI-driven insights, anomaly detection, and forecasting augmentation
- Embedded insights within revenue workflows (CRM, planning tools, dashboards)
- Partner with Analytics to define architecture, tooling, and performance standards
- Establish best practices for version control, testing, and analytics scalability
- Set technical and strategic standards for analytics delivery
- Foster a culture of ownership, business context, and outcome-driven analytics
What Success Looks Like:
- Revenue leaders trust analytics as the single source of truth
- Annual revenue planning is faster, more accurate, and scenario-driven
- AI insights are embedded directly into GTM workflows, not siloed experiments
- The Analytics function is viewed as a strategic revenue partner, not a reporting service
Qualifications:
- 7+ years in GTM analytics, RevOps analytics, BI, or data roles supporting Sales, Marketing, and Finance
- Proven experience owning revenue planning, forecasting, and pipeline analytics
- Strong hands-on experience with analytics engineering (SQL, data modeling, semantic layers, BI tools)
- Experience operationalizing AI or advanced analytics within business workflows
- Exceptional stakeholder communication skills with executive presence
Nice To Have:
- Experience building analytics functions from early-stage or transformation phases
- Exposure to modern data stacks (cloud warehouses, dbt, modern BI tools)
- Experience embedding analytics into CRM or GTM platforms
