Designs, implements, and supports AI-enabled enterprise application integrations, intelligent automation, APIs, workflows, and data transformations. Evaluates technical approaches, develops proofs of concept, and partners with business, security, technology, and vendors. Responsibilities include AI governance, testing, deployment, monitoring, troubleshooting, access administration, documentation, and production support. The engineer resolves complex incidents, improves reliability and security, and researches emerging AI and integration technologies.

Owns and supports critical investment technology platforms, building data pipelines and automations with Python, SQL, PowerShell, Snowflake, and orchestration tools. Responsibilities include project delivery, technical design, troubleshooting, system administration, database and server maintenance, access governance, documentation, vendor coordination, and participation in a 24/7 on-call rotation. The role improves reliability, eliminates manual processes, and supports investment decision-making across enterprise financial systems.

Leads investment data operations, governance, production support, and business analysis. Manages Investment Data Stewards and Business Analysts, oversees data quality and controls, resolves production issues, translates stakeholder needs into requirements, supports technology implementations and UAT, and coordinates with Investments, IT, vendors, and enterprise partners. Promotes accurate, timely, and effectively governed investment data across systems, reporting platforms, and operational processes.