Data Engineering Lead - Senior Vice President

iCapital•New York, NY

3d•$200,000 - $250,000•Hybrid

About The Position

iCapital is looking to hire a Data Engineering Senior Vice President to lead the evolution of the enterprise data platform that powers AI, automation, analytics, and data-driven decision making across the firm while positioning proprietary data as a strategic business asset. This role is responsible for defining and executing the architectural vision, roadmap, and operating model for a modern, AI-ready data ecosystem built on a strong foundation of cloud technologies and established engineering capabilities. The position will provide leadership across platform architecture, engineering standards, and cross-functional alignment while overseeing the development of scalable data products, semantic layer capabilities, and future AI enablement initiatives. Partnering closely with an engaged executive steering committee, this individual will play a critical role in shaping how data supports the firm's long-term growth and innovation strategy.

Requirements

12+ years of experience in data engineering, including 5+ years leading large-scale engineering organizations across multiple functions
Proven track record designing, building, and operating enterprise-scale cloud data platforms (Snowflake, Databricks, or equivalent), including architecture, security, governance, and cost optimization
Deep expertise establishing data engineering best practices across pipeline design, data quality, observability, data contracts, documentation, and operational support
Demonstrated success developing multi-year platform strategies, securing investment, prioritizing initiatives, and delivering measurable business outcomes
Experience partnering with and presenting to executive stakeholders within regulated industries, translating complex technical concepts into business impact
Hands-on experience with analytics engineering, semantic layer development, and modern data transformation frameworks such as dbt
Financial services experience within asset management, wealth management, fintech, banking, or insurance, including knowledge of regulated data environments and governance requirements
Deep expertise in Snowflake architecture, performance optimization, security, and data sharing at enterprise scale
Knowledge of alternative investments, wealth management, fund administration, or related financial services domains
Experience building AI- and ML-enabled data platforms, including semantic layers, feature stores, model-serving infrastructure, or LLM-integrated architectures
Experience with Informatica or comparable enterprise data catalog, metadata management, and MDM platforms
Proven success scaling data engineering organizations through periods of rapid growth, including organizational design, hiring, and leadership development

Responsibilities

Define and own iCapital's enterprise data architecture, including the Snowflake platform, semantic layer, reusable data products, and AI-ready ecosystem.
Establish standards for data engineering, governance, security, observability, quality, and documentation.
Own platform reliability, SLAs, DataOps practices, and incident management.
Lead architectural strategy, tooling decisions, and platform investment recommendations.
Develop and execute the multi-year Data Engineering roadmap aligned to business and AI priorities.
Translate enterprise data strategy into prioritized engineering initiatives and platform capabilities.
Build business cases for platform investments and proactively address technical debt and future scalability needs.
Partner with business and technology leaders to deliver data products that support enterprise objectives.
Communicate platform progress, risks, and investment decisions to executive stakeholders.
Build and lead a high-performing Data Engineering organization and culture.