Voya Financial is a public retirement and benefits company running a hybrid-cloud digital transformation anchored in Azure, Snowflake, and Databricks. The tech stack reveals a shift toward modern data and ML infrastructure (Databricks, PyTorch, Hugging Face, LangChain, OpenAI) while adopting containerization (OpenShift, Kubernetes, Istio) — a pattern that aligns with pain points around developer productivity and accelerating data science use cases. Hiring velocity is accelerating across finance, HR, and operations, with significant leadership roles open in portfolio management and IT, suggesting a large-scale platform modernization underway.
Notable leadership hires: Chief Counsel, Executive Support Lead, IT Director, Director EPMO Portfolio, Portfolio Lead
Voya Financial (NYSE: VOYA) is a publicly traded retirement, employee benefits, and investment management company headquartered in New York. The company serves over 18 million customer relationships across individual, workplace, and institutional segments. Operating at a scale of 10,000+ employees, Voya's service footprint spans retirement planning, group and individual insurance products, and institutional asset management. The company is actively modernizing its infrastructure and development practices, with current projects focused on public and hybrid-cloud adoption, disaster recovery automation, and internal process optimization.
Voya uses Salesforce, Azure (including Cognitive Services and Machine Learning), Snowflake, Databricks, Python, PyTorch, Tableau, Power BI, Oracle, AWS, Kubernetes, Jenkins, and Workday. The company is actively adopting OpenShift and Azure Red Hat OpenShift.
Voya Financial has more than 10,000 employees and serves over 18 million customer relationships across retirement, benefits, and investment segments.
Voya Financial's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.