About

• We are seeking a Director of Data & Decision Science to serve as the architect of our data ecosystem and the strategic engine behind our portfolio growth. This is a high-accountability "Full-Stack" leadership role designed for a practitioner who is equally comfortable managing a technical engineering team as they are advising on multi-million dollar capital allocations.
• The primary mission of this role is to provide unrivaled clarity across our portfolio. You will lead a team of three Data Engineers to maintain a high-integrity BigQuery and Looker stack, but your true value lies in your ability to translate that data into deep business insights. You aren't just reporting on what happened; you are identifying the "why" behind performance shifts and providing the quantitative logic for our most critical decisions: which digital products to acquire, which to scale, and which to exit.
• Employment Type
• This is a full-time independent contractor position. We are not currently hiring for direct employee positions.
• Location
• This is a fully remote position. Work where you perform your best.
• Key Responsibilities
• Strategic Decision Science & Portfolio Strategy
• Shape the portfolio growth roadmap using predictive modeling, forecasting, and scenario planning to guide decisions on acquisitions, scaling, and exits
• Lead the analytical due diligence for potential acquisitions, rigorously auditing user cohorts, retention curves, and unit economics (LTV, CAC, Payback) to pressure-test commercial viability
• Partner with Finance and Executive Leadership to define and build the predictive models and scenario logic that power the 3-to-5-year financial and operational outlook
• Data Engineering & Architecture
• Architect, build, and govern a scalable, high-integrity BigQuery and Looker ecosystem grounded in Data Lakehouse principles, ensuring a 100% reliable "Source of Truth" for decision-making
• Lead and mentor your team of 3 Data Engineers to build robust ETL/ELT pipelines and maintain strict data governance standards
• Portfolio Performance & Optimization
• Establish a standardized KPI framework to measure performance and enable rigorous benchmarking, identifying efficiency gaps and optimization targets to drive portfolio growth
• Move beyond reporting "what happened" to diagnosing "why" it happened—prescribing specific actions to Marketing and Product teams to optimize revenue
• What You Bring
• Bachelor’s degree in a quantitative field (Computer Science, Economics, Statistics, Physics, or Engineering) or equivalent professional experience
• 10+ years of professional experience in Data Engineering, Analytics, or Business Intelligence
• 3+ years in a senior/lead role, specifically managing technical individual contributors (Data Engineers or Analysts)
• Expert-level fluency in SQL and the Modern Data Stack (BigQuery & Looker), with the ability to architect schemas and conduct code reviews
• Demonstrated success applying advanced modeling and scenario planning to M&A and investment strategy, rigorously validating investment logic and unit economics
• A strong history of collaborating with Finance and Executive Leadership to transform technical insights into clear strategic direction
• Deep familiarity with the unit economics of Subscription (SaaS) or Mobile App businesses (e.g., churning cohorts, ARPU, ROAS)
• Excellent problem-solving and communication skills
• Nice to Have (Preferred Qualifications)
• Master's degree or higher in a quantitative field
• Advanced understanding of quantitative methods (Statistics, Econometrics, or Computer Science)
• Prior experience working within Private Equity, Venture Capital, or Corporate Development environments, specifically supporting due diligence
• Proficiency in Python or R for advanced statistical modeling and forecasting (extending beyond standard SQL capabilities)
• Hands-on experience with dbt (data build tool) for managing complex data transformation workflows in a production environment