Vice President, Platform Engineering; Digital & Wealth Management

Vice President, Platform Engineering (AI- & Cloud‑Native)

A senior engineering leader responsible for shaping how Voya builds and operates modern, customer‑facing digital platforms  role has two critical accountabilities: horizontal technology ownership across all squads and architectural influence through delivery excellence.

• Set Engineering Standards & Govern Technology Decisions
  • Define and enforce engineering standards across squads (approved stacks, patterns, API conventions, logging/error standards, libraries, and tech radar).
  • Lead an engineering council to review cross‑cutting proposals and ensure decisions are documented via Architecture Decision Records (ADRs).
  • Own a technology debt register and drive remediation as a first‑class engineering priority.
• Build a World‑Class Quality Engineering System
  • Establish non‑negotiable quality gates across CI/CD (unit, integration, contract, end‑to‑end, performance, and accessibility).
  • Standardize contract testing across API boundaries to protect customer journeys from regressions.
  • Own performance/load testing and accessibility standards (e.g., WCAG 2.2 AA) as core quality requirements.
• Own Reliability Through SRE Discipline
  • Define SLO/SLI frameworks and error budget policies for customer‑facing services.
  • Set on‑call standards, incident response playbooks, and post‑incident review (PIR) operating cadence.
  • Drive resilience/chaos engineering practices so reliability risks are discovered before customers do.
• Lead Cloud‑Native Engineering at Scale
  • Set patterns for containerization, CI/CD, infrastructure‑as‑code, Git Ops workflows, secrets management, and deployment safety (canary/blue‑green/feature flags).
  • Ensure services operate within enterprise cloud landing zone guardrails while surfacing friction and improving standards with partners.
  • Track and improve engineering health signals (DORA metrics) and cloud cost accountability (Fin Ops mindset).
• Advance AI Platform Adoption—Responsibly
  • Define and govern how AI is built and shipped across the portfolio (LLM integration patterns, RAG standards, guardrails, validation, observability).
  • Ensure AI output controls meet the expectations of a regulated, fiduciary context (auditability, human‑in‑the‑loop where appropriate, and measurable quality).
  • Enable engineering productivity with AI tooling and measure impact responsibly.
• Raise the Bar on Security‑by‑Design
  • Standardize application security practices across squads (SAST/DAST, dependency scanning, SBOM/image signing, secrets hygiene).
  • Partner with Security/Risk teams to ensure strong controls for PII and customer‑facing systems.
• Elevate Developer Experience & Productivity
  • Build “golden path” templates, service catalogs, runbooks, and standardized local dev environments.
  • Improve CI reliability and speed, reduce cognitive load, and make the paved road the easiest road.
• Partner with Enterprise Architecture
  • Be a trusted, high‑signal contributor to architecture forums (e.g., ARB), influencing direction through delivery evidence and strong engineering judgment.
  • Translate field learnings from platform execution into scalable architectural patterns across the enterprise.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Finance, Information Systems, or a related field required;
  Master’s degree a plus.
• 15+ years of progressive experience across platform engineering, product, or technology leadership.
• At least 5+ years leading engineering or product organizations in a B2C or customer‑facing environment.
• Demonstrated success building and scaling complex, customer‑facing platforms, translating customer needs into measurable business and engineering outcomes.
• Experience operating as a horizontal leader, setting standards and driving consistency across multiple teams or domains—not just within a single product.

• Proven ability to lead distributed engineering teams (onshore/offshore) and drive execution across complex portfolios.
• Strong technical grounding in modern architecture patterns, including APIs, event‑driven systems, batch processing, webhooks, and SSO integrations.
• Deep understanding of cloud‑native…