$171,300 – $214,120
Listed on Voya Financial’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads the practical adoption of AI across Voya's Investment Management division, identifying high-value use cases and scaling solutions across business domains from research and portfolio management to operations and sales. The position suits experienced technology leaders comfortable translating ambiguous business problems into production-ready AI systems while mentoring teams and bridging investment domain expertise with engineering excellence.
Our summary, not Voya Financial’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Finance, Business, or related field
- 10+ years in technology, data science, AI, analytics, software engineering, or digital transformation
- 5+ years leading technical teams, cross-functional initiatives, or enterprise-scale programs
- Production experience delivering AI, analytics, data science, automation, or software solutions
- Strong understanding of Generative AI, Agentic AI, AI engineering, intelligent automation, and modern software delivery
- Ability to translate business problems into AI-enabled solution designs
- Can guide engineers and data scientists while engaging effectively with business stakeholders
- Strong communication skills explaining AI concepts and implementation tradeoffs to technical and non-technical audiences
- Demonstrated ability to drive adoption, influence across teams, and deliver measurable outcomes
Nice to have
- Experience in Asset Management, Investment Management, Wealth Management, Financial Services, or regulated business environment
- Background supporting investment research, portfolio management, investment operations, distribution, sales, marketing, or client-facing functions
- Hands-on familiarity with Databricks Genie AI, Snowflake Cortex, or Microsoft AI Foundry
- Experience with AI evaluation, monitoring, workflow automation, or reusable engineering frameworks
- History leading or mentoring AI engineers, data scientists, or software engineers
- Experience creating reusable technical capabilities or shared services