Applied AI & Engineering Leader, Investment Mgmt (Remote)

Voya Financial, Inc.; New York (NY); Hybrid; USD 171,300 - 214,120; Full time

Job summary

Voya Financial, Inc. is seeking an AVP, Applied AI & Engineering in New York, NY. You will lead cross-functional teams to scale AI solutions across Investment Management, research, portfolio analytics, operations, and distribution, driving practical AI implementations into production.

You will bridge AI engineering with business and technology partners, mentoring engineers and data scientists while ensuring scalable, reusable assets and governance. This role supports hybrid work arrangements.

Qualifications

• Bachelor’s degree in a related discipline.
• 10+ years of experience in technology, data science, AI, analytics, software engineering, or digital transformation.
• 5+ years of leadership experience managing technical teams or large programs.
• Experience delivering AI, analytics, data science, automation, or software solutions into production.
• Strong understanding of Generative AI, Agentic AI, AI engineering, automation, and modern software delivery practices.

Responsibilities

• Scale AI solutions across business domains and promote reusable capabilities.
• Lead Applied AI across Investment Management and related areas.
• Promote engineering scalability across IM technology with reusable patterns and accelerators.
• Provide hands-on AI solution leadership from design to implementation.

Skills

Leadership

AI engineering

Data science

Communication skills

Strategic thinking

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Finance, Business, or related discipline

Tools

Databricks

Snowflake Cortex

Microsoft AI Foundry

Microsoft 365 Power Platform

Python & SQL

GitHub Copilot

Job description

Voya Financial, Inc. is seeking an AVP, Applied AI & Engineering in New York, NY. You will lead cross-functional teams to scale AI solutions across Investment Management, research, portfolio analytics, operations, and distribution, driving practical AI implementations into production.

You will bridge AI engineering with business and technology partners, mentoring engineers and data scientists while ensuring scalable, reusable assets and governance. This role supports hybrid work arrangements.