Manifest Os Head of Data at Manifest OS owns the data platform architecture, reliability, and direction, leading the team building it. The role involves defining platform roadmap, ensuring data trust, and supporting AI product features.
Responsibilities
You'll own Manifest's data platform — its architecture, reliability, and direction — and lead the team that builds it. The platform works, but scaling to the next order of magnitude requires deliberate architectural decisions: case data spans two generations of systems, identity resolution stitches together five sources per person, and the warehouse now needs to power AI product features, not just dashboards.
You'll define what this platform looks like in two years, sequence a path to get there without a full rewrite, and keep the data trustworthy throughout. You'll partner closely with Engineering, Marketing, Sales, and Legal Operations.
This is an in-person role - you'll be on-site at our NYC office 5 days a week.
Own the target-state data architecture — ingestion, modeling, semantic layer, and serving — with a sequenced roadmap and named trade-offs
Drive build-vs-buy and tooling decisions across ingestion, transformation, orchestration, and observability
Own data trust: make freshness, correctness, and lineage observable; enforce standards in CI
Maintain a single definitional layer so one metric means the same thing everywhere — BigQuery, HubSpot, board deck
Build governed foundations for AI features, including identity resolution and canonical entity models
Lead and grow the team while staying close enough to the code to review hard designs and complex queries
Qualification
8+ years in data engineeringReal production experienceTreats access controlBackground in legalThis Is For You IfThis Is Not You If
Required
8+ years in data engineering, including serving as architect — not just contributor — of a cloud data platform
Bachelor’s degree or equivalent practical work experience.
Deep hands-on fluency with BigQuery (or Snowflake/Databricks), dbt, Python, and advanced SQL
Real production experience: your opinions on orchestration, idempotency, and testing came from being paged
Experience leading engineers formally or as a technical lead, with comfort in a player-coach role
Treats access control, PII handling, and auditability as core design requirements, not afterthoughts
Preferred
Marketing attribution or multi-touch modeling across CRM, product, and clickstream data
Experience building data foundations for ML or LLM-based product features
Background in legal, healthcare, or fintech; early data hire experience at a high-growth company
This Is For You If...
You'd rather improve something real and working than build from an empty repo
You want your architecture to be load-bearing — decisions here affect ad spend, case staffing, and client trust
Translating between technical and business stakeholders energizes rather than exhausts you