Data Lead

Sedric is the AI compliance platform for financial services. Our agentic AI automates oversight across customer communications and marketing — real-time guardrails on calls, pre-approval review on every marketing asset, and post-publication monitoring across partners and channels. Because every customer gets a dedicated compliance model, accuracy goes up, false positives go down, and compliance teams move faster without taking on more risk. Our data lives in silos — Postgres, Snowflake, product usage, customer interactions, billing, infrastructure costs. Each one tells part of the story. Nobody sees the whole picture. When leadership asks “why did our cloud costs jump 30%?” or “which customers are actually driving growth?”, we spend days stitching together an answer that should take an hour. That gap slows down the decisions that matter most. We’re hiring our first Data Lead to close it. This is an engineer who thinks like an operator: you’ll build the foundation — architecture, pipelines, models — and then use it to connect product behavior, customer outcomes and business performance into one view that drives strategy. No inherited warehouse, no dashboard graveyard, no analyst backlog. A blank page, and a company that needs you to fill it. The Data Lead reports to our VP Product, is based in Tel Aviv (hybrid), and works daily with Product, Engineering, Operations (GTM) and Finance.

Requirements: You’re a fit if… You bring a data engineer’s foundation, an analyst’s business instinct, and the judgment to know when a simple query beats a sophisticated pipeline. • You have 5+ years of hands-on experience in data engineering or analytics engineering, with real exposure to business analytics • Your SQL is strong — this is a must — and you have deep experience with relational databases • You’ve built production-grade ETL pipelines and data models, not one-off scripts — ideally on Snowflake and dbt, with Python where it’s needed • You’ve built BI dashboards (Looker, Tableau, Omni or similar) and defined KPIs people actually trust • You connect the dots across domains — product usage to revenue, customer behavior to cost — and turn to an ambiguous question like “why did costs go up?” into a validated answer and a recommendation • You explain complex analysis clearly to engineers and executives, and you use it to move decisions, not just inform them • You’re skeptical of numbers that don’t add up, and won’t ship a dashboard you don’t trust yourself • You’ve been the first or only data person somewhere before, or you’re ready to be • Bonus: experience with product analytics or customer interaction data (calls, chats, messages), early-stage high-growth startups, or AI-driven products You’re probably not a fit if… • You want a fully built warehouse and a backlog of tickets waiting for you • You’d rather build the perfect pipeline than answer the business question in front of you • You’re a pure analyst who hands off the moment data needs engineering — or a pure engineer who stops at the pipeline • You need someone else to tell you which metrics matter • You see BI as a reporting function, not a decision-making one • You’re uncomfortable being the only data person in the room