Sr. Director, Value Creation Insights

About the role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Director, Value Creation Insights based in the United States. The Sr. Director, Value Creation Insights will lead a global analytics organization responsible for turning commercial data into decisions that accelerate revenue growth and improve go-to-market efficiency. This senior leadership role oversees a team of approximately 30 analysts, analytics engineers, and data professionals across multiple time zones. You will serve as a strategic advisor to senior leaders across Sales, Marketing, Finance, and Revenue Operations, translating complex analysis into actionable business direction. The role combines revenue forecasting, predictive modeling, data infrastructure, AI-enabled analytics, and executive-level storytelling. You will also shape the modernization of the analytics environment, including the adoption of conversational analytics and AI agents embedded into business workflows. Success will require strong technical depth, commercial understanding, organizational leadership, and the ability to turn analytical opportunities into measurable business outcomes.

Responsibilities

• Lead the global Value Creation Insights organization, managing approximately 30 team members across analytics, value creation, marketing insights, financial analytics, analytics engineering, and AI-enabled analytics while establishing consistent standards across onshore and offshore teams.
• Own revenue forecasting analytics, including forecasting models, methodology, variance analysis, reconciliation, and the identification and remediation of assumption gaps in partnership with FP&A and Finance.
• Lead the development and governance of demand-generation reporting, establishing trusted sources of truth for funnel performance, opportunity stages, top-of-funnel metrics, marketing pipeline KPIs, and other commercial measurements.
• Oversee the development and evolution of predictive scoring capabilities, including product-fit scoring, propensity-to-buy models, ideal customer profile scoring, and customer health metrics, ensuring models are aligned with business objectives and actively adopted by Marketing, SDR, and Sales teams.
• Drive the operationalization of analytical models by embedding scoring, prioritization, insights, and recommendations directly into go-to-market workflows rather than treating analytics as standalone reporting.
• Lead the analytics engineering function across Fivetran ingestion, dbt modeling, Snowflake architecture, commercial data pipelines, data quality, and access governance, while managing integrations with sources such as Salesforce, Gong, Google Ads, Marketo, and other commercial platforms.
• Own governance for third-party commercial data sources and core metric definitions, ensuring consistent calculation logic for funnel stages, scoring inputs, forecasts, and company-wide KPIs.
• Partner with Data Platform Engineering on infrastructure strategy, capacity planning, modernization initiatives, and the transition from legacy BI environments toward a modern semantic and conversational analytics layer.
• Define and execute the team's AI roadmap across forecasting, scoring, and commercial analytics, identifying opportunities for LLM-powered insights, conversational analytics, automated workflows, and agentic solutions that create measurable business value.
• Design and deploy AI agents within Sales, Finance, and go-to-market workflows, including automated account and deal insights, forecast variance alerts, scoring explanations, and other decision-support capabilities, with clear standards for accuracy, governance, security, and adoption.
• Evaluate build-versus-buy decisions for AI and analytics technologies, balancing speed, cost, security, scalability, and long-term flexibility while providing clear recommendations to senior leadership.