Build centralized data infrastructure and ETL/ELT pipelines across ventures.
Design scalable architectures suited for zero-to-one environments.
Create reusable reporting workflows and dashboards for GTM, product, finance, and marketing.
Own GTM tooling, CRM setups, data schemas, scoring, routing, and qualification logic.
Build and maintain automation workflows using tools such as n8n.
Implement enrichment, attribution, and event tracking frameworks.
Develop plug-and-play onboarding flows for new venture launches.
Reduce time-to-launch for new ventures and enable portfolio-wide analytics visibility.

Strong data engineering fundamentals ; excellent SQL; Python nice to have.
AI-native approach to engineering and implementation.
Experience building systems from scratch in early-stage or 0→1 environments.
Ability to translate commercial needs into data models and GTM systems .
Hands-on experience with CRM architecture, automations, routing, enrichment, or attribution.
Comfort working across multiple business models (SaaS, eCommerce, consulting).
Strong business logic: you have experience not just identifying problems or opportunities through data analysis but also solving those problems
Comfortable working in an extremely fast paced environment
Experience in venture studios, agencies, or multi-project contexts is a plus.

Data Lead – Venture Fund

Key skills