Marketing Measurement Lead

Neilson Financial Services • Pasadena, CA

1d • $215,000 - $245,000 • Remote

About The Position

Neilson Financial Services is seeking a Marketing Measurement Lead to own the end-to-end path of advertising data, from the initial ad click through websites, backend services, CRM, ad platforms, and reporting to the sold policy. The role ensures Meta and Google receive accurate conversion signals and that leadership has reliable, real-time reporting. It combines hands-on ad measurement and platform integrations with business intelligence, data integrity, and cross-functional collaboration.

The current platform uses .NET/C#, Microsoft SQL Server, and Azure, with an ongoing move toward AWS and modern data pipelines. The Lead will map and document the existing system, identify data loss or distortion, establish closed-loop conversion processes, and introduce monitoring, alerting, and reporting. They will work across Data, BI, Marketing, MarTech Engineering, website and funnel teams, and backend engineering, translating marketing objectives into technical requirements and building shared definitions and trusted data practices.

The position reports to the Senior Director of Data Engineering. It is a 100% remote-first role with flexible working options. Compensation is based on experience, skill set, and business needs; the stated range for California, Washington, and New York is $215,000–$245,000.

Requirements

• Significant professional experience at Senior to Staff level, with a track record of owning complex systems that drive business results.
• Hands-on experience with Meta Conversions API and Google Ads API, including sending conversion and offline events back to the platforms.
• Solid understanding of MarTech and Ad Tech, including how signals move between websites and ad platforms and how platforms use signals to optimize.
• Understanding of the social, publisher, and advertiser sides of the advertising ecosystem.
• Strong BI skills, including building reports and dashboards, comfort with MS SQL and modern data warehouse and analytics tools, and ability to turn data into executive decisions.
• Ability to read and reason about code, with comfort working with data pipelines, data monitoring, and data integrity.
• Ability to trace data problems across multiple systems to root cause and implement durable fixes.
• Ability to establish data integrity checks and then develop monitoring, reporting, and automation step by step.
• Experience managing ad programs at scale, ideally $100 million or more annually or approximately $10 million or more per month.
• Clear communication across Marketing, Engineering, Data, and BI, and ability to translate complex systems into actionable decisions.

Nice To Haves

• Experience marketing in the US, Canada, Australia, New Zealand, and UK markets.
• Experience with insurance or lead-generation funnels where the relevant conversion occurs days or weeks after the click.
• Experience with other advertising 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.

Responsibilities

• Own the marketing data path end to end and maintain the accuracy of events from ad click through internal systems, ad platforms, CRM, and reporting.
• Map and document the current system and identify where data is lost, duplicated, or distorted.
• Own the server-side conversion path to Meta through Conversions API (CAPI) and to Google through Google Ads API and Enhanced Conversions, including offline conversions.
• Manage event deduplication using event IDs, hashed user identifiers, and match quality, as well as offline conversion uploads and Google Click ID (GCLID) attribution.
• Design a closed-loop process that sends real outcomes back to advertising platforms.
• Build data integrity checks, monitoring, and alerting to surface issues before they affect reports.
• Reconcile platform-reported conversions against internal data and vendor spend, and deliver real-time reporting.
• Use AI-assisted workflows to improve the speed of monitoring, reporting, and reconciliation.
• Translate marketing goals into technical requirements for Data, BI, Marketing, and Engineering teams.
• Establish shared definitions and build trust and alignment across partner teams.

Benefits

• Competitive total compensation package.
• Extensive learning opportunities.
• Flexible working options.
• Medical, dental, and vision coverage.
• Long-term disability (LTD), short-term disability (STD), AD&D, and life insurance.
• 401(k) with company match.
• Generous PTO policy.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed