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Data Engineering Lead - Senior Vice President

icapitalnetwork · New York, New York, United States · New York, New York, United States
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<p><strong>About the Role</strong></p> <p> </p> <p>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.</p> <p><strong> </strong></p> <p><strong>Responsibilities</strong></p> <p> </p> <ul> <li>Define and own iCapital's enterprise data architecture, including the Snowflake platform, semantic layer, reusable data products, and AI-ready ecosystem.</li> <li>Establish standards for data engineering, governance, security, observability, quality, and documentation.</li> <li>Own platform reliability, SLAs, DataOps practices, and incident management.</li> <li>Lead architectural strategy, tooling decisions, and platform investment recommendations.</li> <li>Develop and execute the multi-year Data Engineering roadmap aligned to business and AI priorities.</li> <li>Translate enterprise data strategy into prioritized engineering initiatives and platform capabilities.</li> <li>Build business cases for platform investments and proactively address technical debt and future scalability needs.</li> <li>Partner with business and technology leaders to deliver data products that support enterprise objectives.</li> <li>Communicate platform progress, risks, and investment decisions to executive stakeholders.</li> <li>Build and lead a high-performing Data Engineering organization and culture.</li> </ul> <p> </p> <p><strong>Qualifications</strong></p> <p> </p> <ul> <li>12+ years of experience in data engineering, including 5+ years leading large-scale engineering organizations across multiple functions</li> <li>Proven track record designing, building, and operating enterprise-scale cloud data platforms (Snowflake, Databricks, or equivalent), including architecture, security, governance, and cost optimization</li> <li>Deep expertise establishing data engineering best practices across pipeline design, data quality, observability, data contracts, documentation, and operational support</li> <li>Demonstrated success developing multi-year platform strategies, securing investment, prioritizing initiatives, and delivering measurable business outcomes</li> <li>Experience partnering with and presenting to executive stakeholders within regulated industries, translating complex technical concepts into business impact</li> <li>Hands-on experience with analytics engineering, semantic layer development, and modern data transformation frameworks such as dbt</li> <li>Financial services experience within asset management, wealth management, fintech, banking, or insurance, including knowledge of regulated data environments and governance requirements</li> <li>Deep expertise in Snowflake architecture, performance optimization, security, and data sharing at enterprise scale</li> <li>Knowledge of alternative investments, wealth management, fund administration, or related financial services domains</li> <li>Experience building AI- and ML-enabled data platforms, including semantic layers, feature stores, model-serving infrastructure, or LLM-integrated architectures</li> <li>Experience with Informatica or comparable enterprise data catalog, metadata management, and MDM platforms</li> <li>Proven success scaling data engineering organizations through periods of rapid growth, including organizational design, hiring, and leadership development</li> </ul> <p> </p> <p> </p> <p><strong>Benefits</strong></p> <p>The base salary range for this role is $200,000 to $250,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).</p> <p> </p> <p>We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.</p> <p><strong> </strong></p> <p>For additional information on iCapital, please visit <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.icapitalnetwork.com%2Fabout-us&data=05%7C02%7CRuth.Pyne%40icapital.com%7C42633c59e5da4383231308df103f7c17%7C0ac51d2823c34b35a9fbe1a17aa9eff1%7C0%7C0%7C639247537018809356%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=cAGdGYZSdkraC7SdKGyh0g

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