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# Data and Analytics Lead

- **Company:** Manifest Legal Tech, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $160,000.0 - $210,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Information Engineering, Google Analytics, Python (Programming Language), Operational Databases, Salesforce.Com, SQL Databases, Large Language Models, Data Layers, Stripe, Data Analytics, Virtual Agents, Hubspot
- **Published:** June 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6f5acd177defc977

## About the Role

Do you have experience in Sales management systems proficiency?, * 7+ years across data engineering and analytics at fast-growing companies, with end-to-end ownership of real production data systems

 * Expert SQL and Python, deep hands-on experience with dbt and a modern cloud warehouse (we run BigQuery, Airbyte, and DataStream CDC)
 * Go-to-market data depth: CRM (HubSpot or Salesforce), paid media platforms, web and product analytics, attribution
 * AI-native by default: AI tools are core to how you build daily, and you've shipped data products that LLMs or agents consume, semantic layers, AI-readable documentation, or conversational analytics
 * Player-coach: you've led or tech-led a small team while staying hands-on
 * New York City, in-office 5 days/week

This is for you if....

You want to be at the tip of the spear of a once-in-a-generation shift in how professional services are delivered. You want to own a function end to end at a fast-moving company. And you want to build in person, alongside a great group of people.

## Description

You will own Manifest's data foundation end to end for the go to market team and turn it into the single trusted layer every team and AI agent runs on. This is a player-coach role and you'll be accountable for the function's outcome., * Own the source of truth: model revenue (Stripe), spend (every ad platform, not just the ones piped in today), and funnel (HubSpot) into one reconciled BigQuery layer, today these live across four reporting surfaces and reconciliation is manual

 * Own web and product analytics for growth: reconcile Amplitude with GA4, and stand up AEO reporting as search shifts to AI answer engines
 * Build toward conversational BI: the semantic layer, curated datasets, and AI-readable documentation that let anyone at Manifest ask a data question and trust the answer, a v1 agent on BigQuery already exists to build on
 * Ship the measurement backbone for growth: one lead-source taxonomy across all traffic, multi-touch attribution, cohorted LTV:CAC
 * Kill manual reporting: weekly and monthly business reviews generated from live data instead of hours of hand-assembled pulls
 * Lead and level up a team of data engineers: run one prioritization queue across marketing, sales, RevOps, and finance, set the delivery cadence and quality bar, and keep shipping dbt yourself


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