Data Engineering SVP: AI-Ready Platform Leader (Remote Fridays)

iCapital Network; New York (NY); Hybrid; USD 200,000 - 250,000; Full time

Job summary

iCapital is seeking a Data Engineering Senior Vice President in New York to shape the enterprise data platform, guide the AI-ready data ecosystem, and lead a multi-year roadmap. You will set governance, security, and data quality standards while directing platform investments.

You will partner with executives to translate business goals into scalable data products, drive DataOps discipline, and mentor a high-performing engineering organization.

Qualifications

• 12+ years of experience in data engineering and data platform leadership.
• Proven track record building enterprise-scale cloud data platforms (Snowflake/Databricks) with governance and cost optimization.
• Experience presenting to executive stakeholders in regulated industries.
• Hands-on analytics engineering and semantic layer development.

Responsibilities

• Define and own enterprise data architecture including Snowflake platform and semantic layer.
• Establish standards for data governance, security, observability, quality, and docs.
• Own platform reliability, SLAs, DataOps, and incident management.
• Lead architectural strategy, tooling choices, and platform investments.
• Develop multi-year Data Engineering roadmap aligned to business and AI priorities.
• Translate data strategy into prioritized engineering initiatives and capabilities.
• Build business cases for platform investments and address debt and scalability.
• Partner with business and technology leaders to deliver data products.
• Communicate progress, risks and investment decisions to executives.
• Build and lead a high-performing Data Engineering organization.

Skills

Data architecture & strategy

Leadership & people mgmt

Cross-functional collaboration

Business impact orientation

Tools

Snowflake

Databricks

dbt

Informatica

Data catalog tools

Job description

iCapital is seeking a Data Engineering Senior Vice President in New York to shape the enterprise data platform, guide the AI-ready data ecosystem, and lead a multi-year roadmap. You will set governance, security, and data quality standards while directing platform investments.

You will partner with executives to translate business goals into scalable data products, drive DataOps discipline, and mentor a high-performing engineering organization.