Responsibilities

• Own the marketing measurement roadmap across all five segments and set the standards for what is measured and how results are reported.
• Build and maintain the closed-loop attribution model: GCLID capture at form fill, Salesforce lead mapping, Snowflake cohort modeling, and offline conversion upload to Google Ads and Microsoft Ads.
• Design and run incrementally and brand-lift tests
• Establish and defend segment-level CPL, CAC, and LTV ceilings using cohort math and confirmed gross margin inputs.
• Partner with Business Applications on Salesforce lead plumbing, field mapping, and data quality at the point of capture.
• Translate platform-reported metrics into revenue-grounded reporting, and call out where platform numbers are directional rather than reconciled to real wins.
• Build dashboards in the approved BI layer that segment leaders and Finance use without translation.
• Direct the Marketing Data Engineer on pipeline construction, GCLID infrastructure, and warehouse modeling.
• Provide analytical support to the paid, lifecycle, and content channels, including test design, holdouts, and readouts.
• Represent marketing measurement in cross-functional forums with RevOps, Finance, and the segment marketing leads.

Requirements

• 8+ years in marketing analytics, performance marketing analytics, or a closely related measurement function, including multi-touch and closed-loop attribution.
• Demonstrated ownership of an offline conversion import into Google Ads and Microsoft Ads, or equivalent server-side conversion infrastructure.
• Fluency in Salesforce as a marketing data source: lead and opportunity objects, campaign attribution, and data quality practice.
• Strong SQL and hands-on experience with a cloud data warehouse; Snowflake preferred, BigQuery acceptable.
• Working knowledge of GA4 and Google Tag Manager, including event and conversion instrumentation.
• Experience designing and interpreting incrementality, holdout, or brand-lift tests.
• Ability to build reporting that non-analysts trust and to communicate uncertainty honestly to executive audiences.
• Bachelor's degree in a quantitative, business, or marketing field, or equivalent practical experience.
• This position is not eligible for visa sponsorship