Commercial Analytics Leader

Define and own the commercial analytics strategy, roadmap, and operating standards across brands, products, regions, and commercial motions.

Translate executive priorities and commercial objectives into a prioritized portfolio of analytical capabilities, business questions, and measurable outcomes.

Establish the progression from reliable descriptive performance reporting to diagnostic, predictive, and prescriptive AI-enabled decision intelligence.

Own the commercial architecture and governance of RevOps performance reporting, including metric definitions, calculation rules, analytical views, reporting standards, and management cadences.

Build a coherent reporting framework based in Salesforce, collaborating with Power BI, billing sources and finance systems, marketing systems, and other relevant commercial data tools.

Reduce duplicated calculations, conflicting reports, spreadsheet dependencies, and legacy dashboards through standardized, reusable analytical assets.

Partner with RevTech, Data Engineering, Data Science, Finance, and source-system owners to validate analytical logic, reconcile discrepancies, identify data gaps, and resolve recurring quality issues.

Establish appropriate standards for data freshness, reconciliation, completeness, lineage, calculation validation, change management, and issue escalation.

Make analytical reliability, traceability, and business confidence measurable operating priorities.

Translate complex data and analytical outputs into concise narratives connecting performance, drivers, implications, recommendations, actions, and outcomes.

Serve as a trusted analytical partner to Sales and GTM Leadership, RevOps, Customer Success, Marketing, Finance, Product, and Strategy.

Support business reviews, forecasting, strategic planning, and other commercial decisions.

Analyze performance across new-logo acquisition, pipeline conversion, account expansion, cross-sell, renewals, channel partnerships, and other relevant revenue motions.

Identify the drivers of attainment, forecast variance, sales productivity, deal velocity, customer growth, and revenue leakage.

Evaluate trends to uncover growth opportunities and execution constraints.

Partner with RevTech and Data Science to make governed commercial metrics and contextual business definitions accessible to approved AI tools, analytical agents, and natural-language interfaces.

Ensure AI-generated conclusions are grounded in approved data and metric definitions, with safeguards against unsupported conclusions and unauthorized data access.

Develop governed self-service analytical capabilities that allow business users to answer common questions independently without creating competing versions of the truth.

Design analytical experiences around the decisions users need to make, embedding insights into existing commercial workflows where practical.

Establish standards for metric interpretation, analytical literacy, documentation, access, training, and responsible use.

Identify upstream process, integration, data-model, and instrumentation improvements required to strengthen the analytical foundation.

Coordinate delivery across commercial stakeholders, RevTech, Data Engineering, Data Science, Finance, and Technology without duplicating their functional responsibilities.

Continuously improve the speed, consistency, reliability, accessibility, and business impact of commercial intelligence.