Data and Analytics Lead
Manifest OS
- New York, New York, United States
- New York, New York, United States
Über
About the Team Data & Analytics sits within Strategic Initiatives and supports Manifest’s go-to-market motion: B2C and B2B marketing, sales, RevOps, and finance. The team owns the BigQuery warehouse, the pipelines that feed it (CRM, ad platforms, product, billing), the dbt models on top, and the reporting that stakeholders across the company run on. It’s a small team with company-wide surface area: every growth decision at Manifest, where to spend, which channels work, what a customer is worth, runs through this team’s output.
About the Role 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.
What You’ll Do
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
What We're Looking For
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
NewYork 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.
This is not for you if....
You need a mature platform team and clean upstream data to be productive
You want to be purely a manager or purely an IC, this role is deliberately both
You’re looking for remote or hybrid, we build in person in NYC
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Sprachkenntnisse
- English
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