Marketing Measurement Lead

Responsibilities

• Map the current system, document it, and identify where data is lost, duplicated, or distorted
• Own the server-side conversion path to Meta through the Conversions API (CAPI) and to Google through the Google Ads API and Enhanced Conversions, including offline conversions that connect ad interactions to outcomes that happen days or weeks later
• Handle event deduplication with event IDs, hashed user identifiers and match quality, offline conversion uploads, and Google Click ID (GCLID) attribution
• Design the closed-loop process which sends real outcomes back to the platforms
• Build data integrity checks, monitoring, and alerting so issues surface before they reach reports
• Reconcile platform-reported conversions against our internal data and vendor spend, and deliver real-time reporting, not end-of-day reporting
• Use AI-assisted workflows to make monitoring, reporting, and reconciliation faster
• Translate marketing goals into technical requirements for our Data, BI, Marketing, and Engineering teams

Requirements

• Hands-on experience with Meta's Conversions API and Google Ads API, including sending conversion and offline events back to the platforms. This is essential.
• A solid understanding of MarTech and Ad Tech, including how signals move from a website to ad platforms and back, and how platforms use those signals to optimize
• An understanding of the social, publisher, and advertiser sides of the ad ecosystem
• Strong BI skills: you build the reports and dashboards yourself, you're comfortable with MS SQL and modern data warehouse and analytics tools, and you can turn data into decisions for executives
• You can read and reason about code, and you're comfortable with data pipelines, data monitoring, and data integrity
• You can trace a data problem across several systems to its root cause, then fix it durably
• You can establish data integrity checks first, then build out monitoring, reporting, and automation step by step
• Experience managing ad programs at scale, ideally 100M+ USD or equivalent annually (roughly 10M+ per month)
• You communicate clearly across Marketing, Engineering, Data, and BI, and you can translate complex systems into actionable decisions
• We welcome applicants from Engineering backgrounds and from related disciplines such as Attribution, Ad Operations, and Technical Product Management, provided they bring strong hands-on technical skills. Experience marketing in the US, Canada, Australia, New Zealand, and UK markets is a strong plus

Preferred

• Experience with insurance or lead-generation funnels, where the conversion that matters happens days or weeks after the click
• Experience with other ad platforms, such as TikTok or LinkedIn
• Experience with data warehouse, ingestion, or reverse ETL tools
• Experience with tag management and server-side tagging, such as Google Tag Manager
• Experience introducing AI tools into data operations

Benefits

• We Offer
• This is a 100% remote-first role with flexible working options. Neilson provides a competitive total compensation package, extensive learning opportunities, and a dynamic environment where you can grow your career.
• compensation will be based on experience, skill set, and business needs.
• Additionally, we offer a robust benefits package including Medical, Dental, Vision, LTD, STD, AD&D, Life, 401(K) with company match, and a generous PTO policy.