Description
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.
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.
Qualifications:
- 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.
Benefits: 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).