Chief Enterprise AI & Automation Platform Leader
Voya Financial
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Job summary
Voya Financial seeks an executive to own strategy, development, and operation of enterprise AI, automation, intelligence, and data capabilities. This role integrates AI-native software engineering, data science, and knowledge architecture across the company to deliver scalable capabilities and differentiated business value.
Success means embedding AI, automation, and data across software, operations, and customer interactions while improving developer productivity, software quality, and time to
Qualifications
- Bachelor's degree required.
- 15+ years leading technology, data, AI, automation, or platform teams.
- Executive-level accountability for enterprise transformation.
- Experience scaling enterprise platforms across large organizations.
- Leading AI, automation, or developer platform transformations.
- Experience in highly regulated industries.
- Strong AI, software engineering, data governance, and architecture knowledge.
- Experience leading geographically distributed teams.
Responsibilities
- Build and operate enterprise AI platform as a shared foundation.
- Establish enterprise standards, governance, security, and responsible AI controls.
- Transform software development lifecycle with AI integration.
- Lead data science, ML, and applied AI from experiment to production.
- Partner with business leaders to prioritize high-value use cases.
- Lead intelligent automation and RPA capabilities with AI-enabled workflows.
- Define enterprise knowledge and data architecture to support AI and digital experiences.
- Oversee data architecture, governance, and platform modernization.
Skills
Education
Job description
Voya Financial seeks an executive to own strategy, development, and operation of enterprise AI, automation, intelligence, and data capabilities. This role integrates AI-native software engineering, data science, and knowledge architecture across the company to deliver scalable capabilities and differentiated business value.
Success means embedding AI, automation, and data across software, operations, and customer interactions while improving developer productivity, software quality, and time to
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