Senior Director, Revenue Analytics
$181,031–$215,000 year
On-siteChicago, Illinois, United States
Job Summary
Lead the Revenue Analytics function as the source of truth for revenue and customer performance data, establishing analytics strategy, governance, and executive reporting across CCC's commercial organizations. Build a unified, governed analytics layer from fragmented commercial data by leading data engineering pipelines, enrichment processes, and the analytical data layer that connects core systems. Own the data governance framework, including metric definitions, field standards, and quality monitoring, while setting up governance rhythms and scorecards to ensure consistent, trusted reporting. Develop dashboards, predictive insights, and standardized reporting to help commercial leaders monitor performance and drive action. Build and develop a high-performing analytics organization across data engineering, analytics, and business intelligence, creating shared ways of working and growth opportunities. Establish the operating model, hire key talent, and deliver foundational capabilities such as enterprise metric definitions and a phased analytics roadmap within the first three to six months.
Required Qualifications
- Bachelor's degree or equivalent practical experience
- 12+ years of progressive experience in analytics, revenue operations, business intelligence, or data strategy leadership within a commercial environment
- 7+ years leading analytics or data teams, with experience building functions or teams from the ground up during periods of organizational transformation
- Deep experience with BI and analytics platforms (Tableau, Salesforce, Power BI)
- Familiarity with CRM data structures (Salesforce, Gainsight)
- Familiarity with AI and automation tools (e.g., AI agents, predictive modeling, workflow automation)
- Strong understanding of data engineering concepts, system integrations, and the architecture required to connect multiple enterprise data sources into a unified analytics layer that supports planning, forecasting, segmentation, and performance management
- Experience designing and implementing data governance frameworks, including metrics standardization, data quality monitoring, business rule alignment, and cross-functional agreement on definitions and reporting standards
- Demonstrated ability to operate in a matrixed environment, influence without direct authority, and build alignment across senior stakeholders with competing priorities while maintaining momentum and delivery
- Experience in B2B SaaS, insurance technology, or multi-market commercial organizations
- Strong executive communication skills, with the ability to translate complex data, systems, and performance concepts into clear, actionable narratives for senior leadership, operating reviews, and board-level discussions
- Track record of building high-performing teams with a culture of accountability, intellectual curiosity, and continuous improvement
- Comfort with ambiguity and the ability to make progress on multiple fronts simultaneously while balancing immediate business needs with the infrastructure required for long-term scalability
Desired Qualifications
- Experience in B2B SaaS, insurance technology, or multi-market commercial organizations strongly preferred
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