About the company
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.
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.
- Drive the operationalization of analytical models by embedding scoring, prioritization, insights, and recommendations directly into go-to-market workflows.
- 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.
- 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.
- Design and deploy AI agents within Sales, Finance, and go-to-market workflows.
- Evaluate build-versus-buy decisions for AI and analytics technologies.
- Act as a trusted analytics advisor to senior executives, translating technical findings into concise business narratives.
- Establish cross-functional alignment around OKRs, MBOs, performance metrics, and other measurement frameworks.
- Develop team operating practices covering prioritization, sprint cadences, stakeholder intake, documentation, peer review, coding standards, modeling methodologies, and reproducibility.
Requirements
- 10+ years of experience in analytics, data science, data engineering, or a closely related discipline, including at least 4 years of people management experience.
- Deep expertise in Snowflake, SQL, dbt, and modern data-stack technologies, with experience using platforms such as Omni, Power BI, Hex, or comparable BI and semantic-layer solutions.
- Hands-on experience with LLM-powered analytics, conversational analytics, AI agents, or automated workflows built on governed data models.
- Proven experience building and managing distributed teams that combine onshore and offshore talent across multiple time zones.
- Strong understanding of statistical modeling, predictive analytics, machine learning concepts.