Senior Consultant, Strategy & Client Solutions The FirmCastleton Tower is a boutique consulting firm founded by executives who have built and led quantitative research, data science, and technology teams at top-tier hedge funds and asset managers. We work exclusively with investment management firms (RIAs, family offices, hedge funds, and asset allocators) helping them modernize their data infrastructure and build AI-ready foundations.What makes us different: We're a lean firm where senior practitioners do the actual work. No armies of junior consultants learning on your dime. Our engagements blend high-level strategy with hands-on technical implementation. We'll assess your technical & business strategy, design your data architecture and also code up the full stack infrastructure where needed.The OpportunityWe're looking for a strategic leader who can drive data and technology transformation for investment firms. This role sits at the intersection of business strategy and technical execution. You'll need to be equally comfortable in a boardroom discussion about portfolio analytics and a working session designing Snowflake schemas.What you'll get:Strategic Impact: Lead full-scope projects from roadmap to production, not just strategy decks that sit on a shelfDirect Mentorship: Work alongside the firm's Principals on every engagementModern Tech Stack: Work with best-in-class tools (similar to Snowflake, dbt, Dagster, Sigma, AWS, etc.) and cutting-edge AI/agentic development workflowsPath to Partnership: Clear trajectory toward firm equity and partnership for high performersCore ResponsibilitiesClient Leadership & StrategyPartner with senior investment professionals (PMs, CIOs, COOs, Heads of Operations) to understand their business goals and translate them into actionable technical roadmapsOwn client relationships end-to-end, managing expectations, deepening engagements, and identifying new opportunitiesLead projects from inception to delivery, ensuring the final product solves the actual business problemTechnical SolutioningDesign data architectures and analytics solutions that fit the client's investment workflowUse Python and SQL to build dashboards, analytics tools, and investment applicationsLeverage AI-assisted development tools to accelerate deliveryGuide architectural decisions across modern data platforms (Snowflake, Databricks, cloud infrastructure)This is not a "heavy" data engineering role, but you need to understand the underlying tools and architectures well enough to recommend optimal approaches and know what's technically feasible.QualificationsRequired:Prior experience within an investment management or trading organization (hedge funds, asset managers, quant shops, or market makers)Demonstrated project leadership and comfort managing relationships with senior executivesProficiency in Python and SQL for data analysis and application developmentStrong conceptual understanding of modern data infrastructureValued:Management consulting experience (strategy or implementation)Experience at financial technology firms serving asset managersFamiliarity with investment operations, portfolio analytics, or fund accounting workflowsPersonal Attributes:High ownership mentality: you see problems through to resolution without being toldExecutive presence to hold your own with senior investment leadersIntellectual curiosity about both the investment side and the technology sideComfort with ambiguity and ability to structure unstructured problemsLocation & CompensationLocation: Hybrid in the NYC area. Expect to travel roughly one week per month for on-site client work.Compensation:Total compensation: $250k to $500k (commensurate with experience)Firm equity available for high performers