Own accuracy and integrity of the single source of truth of sold work across Salesforce, BI tools, and partner reporting by implementing data quality processes (audits, validations, reconciliations, exception tracking)
Define and maintain data dictionaries, field definitions, and metric logic
Develop and manage dashboards and reporting in BI tools (Quick Suite, Looker, etc.)
Build and maintain standardized revenue reporting across products, partners, retailers, and media programs to deliver clear, actionable insights on pipeline, bookings, and performance on a regular cadence
Define and maintain sales processes, SOPs, definitions and exception handling frameworks in Confluence to support org-wide clarity and AI enablement
Analyze sales process workflows and drive automation to identify risks, gaps, and opportunities to reduce process friction across Sales, Media, Finance, and partner teams
Serve as the primary escalation point for deal structuring and process exceptions
Improve deal cycle time, accuracy, and cross-functional coordination by partnering closely with Product, Tech, Sales, Finance, and Media teams on complex deals and revenue structures
Lead cross-functional process improvement and automation initiatives aligned to growth priorities that support scaling.
Identify, build and apply AI-enabled tools to reduce manual work and data entry while maintaining accuracy.
Requirements
4-8+ years in Revenue Operations, Sales Operations, Business Analytics, or similar
3+ years working in Salesforce (reporting, data management; CPQ preferred)
Proven ability to work with complex, multi-source datasets
Strong experience with data validation, reconciliation, and QA processes
Experience owning projects end-to-end and driving adoption
Excellent communication and stakeholder management skills
Very high attention to detail.
Experience in media sales, advertising, or retail advertising environments preferred
Exposure to retail media networks (RMNs) or partner-led GTM models in the online media or digital out-of-home (DOOH) space preferred
Familiarity with automation and AI-enabled workflows preferred.