VP, Data Science & Engineering

VP, Data Science & Engineering | PE-Focused Data & Analytics Firm The OpportunityOur client is an early-stage data and analytics firm based in Dumbo, Brooklyn, working with private equity firms and their middle-market portfolio companies. They turn messy, fragmented operational and financial data into reliable, connected ecosystems that drive real business value — not dashboards for dashboards' sake.They're profitable, founder-led, and growing fast. More client demand than they can handle. Now they're hiring the person who will build the data science & engineering function from the ground up.This is the first senior data hire after the two co-founders and Chief of Staff. You'll start as a hands-on IC and grow into leading a team of ~10 over the next year.Why This Role Is DifferentReal ownership from day one. You'll shape the IP, standards, tooling, and hiring roadmap — not inherit someone else's stackProfitable company, no VC pressure. Revenue funds the business. You're building, not burningFounders who sell themselves. Sharp, ambitious, articulate operators with deep investing and business backgrounds. The Chief of Staff joined because of them — you probably will tooTitle flexibility. VP is the posted title, but they're hiring for talent first and shaping the role around the right personPath to leadership. You'll likely manage a team by end of year oneWhat You'll DoDesign and build SQL- and Python-based data workflows end-to-endDevelop robust ETL/ELT pipelines and orchestration processesModel data in Snowflake and connect it across ERP, CRM, finance, and ops systems via APIs, exports, and manual loadsWrangle messy, real-world operational and financial data into something trustworthyPartner directly with PE clients and their portfolio companies to translate business context into data solutionsSupport analytics and BI use cases on top of the data you engineerHelp build internal IP, including AI-driven workflows on top of structured datasetsShape templates, standards, and best practices for the team you'll eventually hireWhat We're Looking For4–10 years in data engineering, analytics engineering, or data scienceAdvanced SQL — complex queries, modeling, performance tuningStrong Python for data processing and pipeline developmentHands-on experience building and orchestrating production data pipelinesSnowflake experience strongly preferredComfort working across APIs and integrating systems securelyAbility to operate independently and own problems end-to-endStrong communicator — comfortable with both engineers and non-technical business stakeholdersEntrepreneurial mindset and genuine interest in building from the ground floorComfortable with ambiguity and early-stage chaosNice to HaveExposure to financial or operational data (especially PE-backed company data)Consulting or client-facing experienceGenuine interest in applied AI tools and agentic workflowsLogisticsLocation: Dumbo, Brooklyn — Hybrid (your choice of how many days that looks like)Team: Currently 3 (two co-founders + Chief of Staff). You'll be employee #4 and a key early hireCompensation: Open-ended and flexible mix of base salary and equity. They're building this offer around the right person, not slotting you into a band.