Senior Data Operations Lead

Who is Credible? Credible is a leading U.S. consumer finance marketplace, transforming the way consumers access and compare financial products. We operate at a consumer and enterprise level. On the consumer side, we help millions of people make smarter financial decisions by comparing personalized, pre-qualified offers across student loans, personal loans, mortgages, credit cards, and insurance — all without impacting their credit score. On the enterprise side, we power financial product comparison and distribution through deep integrations and partnerships with lenders, insurance carriers, and financial institutions, as well as providing marketplace technology and capabilities to third-party partners and distribution channels. About The Role We are hiring a Senior Data Operations Lead to be the business owner of the paid marketing data layer for Credible's Israel-based paid marketing team.. This is a senior individual-contributor role at the center of how we measure, optimize, and scale paid acquisition across Google, Bing, OpenAI, Meta, and new platforms as we add them. Our bidding runs on the conversion data we send to the ad platforms. When that data is late, incomplete, or wrong, performance drops and budget goes to the wrong places. You make sure what the platforms see matches our real numbers, that every new platform, vertical, and campaign is measured correctly from day one, and that our data foundation makes this easier with every launch, not harder. You will report to the VP Performance Marketing and work day to day with our BI Engineering and Analytics teams. You own the requirements, definitions, standards, and priorities; BI Engineering owns the technical architecture and implementation, and you work closely with them on the design. This is a high-ownership role with direct impact on revenue and margin. Responsibilities • Paid data foundation: define the business requirements and standards for a unified paid marketing data layer: shared join keys (click IDs, UUIDs), consistent vertical, lender, and campaign fields, naming and URL conventions, and one conversion event framework. Partner with BI Engineering on the design so tracking issues and leakage are easy to detect, reporting works across verticals and platforms, and new verticals plug into a reusable upload mechanism instead of a custom build • Launch readiness: own the data checklist for every new platform, vertical, and campaign launch: conversion upload definitions, tracking (UTMs, click IDs), revenue mapping, and an end-to-end test before any spend goes live • Conversion uploads: define what we send to each platform (events, values, cadence) and assess the impact on the data backend and on bidding before any change ships • Reconciliation, alerting & leakage: own platform-vs-Looker variance and attribution leakage; define thresholds and alerts so discrepancies are caught by systems, not by someone noticing a dashboard looks off • Data roadmap: own the paid marketing data roadmap: prioritize infrastructure changes, fixes, and reporting needs, write clear specs for BI Engineering and Analytics, and drive them through delivery • Investigation: dig into data issues independently with SQL and Looker, find the root cause, and put fixes in place that stop the problem from recurring • Platform onboarding: lead the data side of onboarding new ad platforms and partners, from API conversion uploads to cost ingestion and reporting • Automation: replace manual checks, uploads, and reports with automated workflows, including AI/LLM tools where they help • Documentation: maintain the source of truth for conversion definitions, upload logic, and tracking standards across verticals What Success Looks Like In 6 Months • Every active vertical and platform has aut