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Data Engineering Lead - Senior Vice President

iCapital · New York, New York, United States · On-site

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About iCapital

Helping Financial Advisors and Wealth Managers incorporate alternative strategies at scale. Helping Asset Managers open new lanes of distribution.

About the role

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.

What they're looking for

  • 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
More about this role

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.

  • 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,...

Read the full posting on iCapital's site ↗

Data Governance, Engineering and...

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