Vice President, Platform Engineering (Digital & Wealth Management)

Vice President, Platform Engineering (AI- & Cloud-Native)
Digital & Wealth Management Technology | Voya Financial
Horizontal Technology Ownership • Engineering Standards • SRE/Quality • AI Platform Enablement • Architecture Partnership
Location: Boston, MA or New York, NY(3 days per week onsite)

About the Role

Join our team in Boston as a leader in shaping the future of modern, customer-facing digital platforms at scale. This senior engineering leadership role comes with two equally critical accountabilities:

• Horizontal technology ownership across all squads in our Digital & Wealth Management Technology organization—setting and enforcing the engineering standards, quality practices, reliability discipline, cloud-native patterns, and AI delivery guardrails that define "how we ship." This is ownership with outcomes, not advisory.
• Architecture influence through delivery excellence—partnering closely with Enterprise Architecture as a peer, bringing a strong engineering voice into major design decisions, and earning influence through evidence: operational reliability, secure-by-design delivery, and systems that perform at scale for participants, advisors, and plan sponsors.

If you're the kind of leader who loves building strong engineering systems—standards, tooling, SRE, quality gates, and scalable platforms—while also shaping technical direction through credibility and results, this role is built for you.

What You'll Do

You'll serve as a "horizontal leader” across the organization—raising engineering quality and reliability across multiple product squads while improving developer productivity and delivery velocity.

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, GitOps 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 (FinOps 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.

Knowledge & Experience

Education:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, Information Systems, or a related field required; Master's degree a plus.

Experience:

• 15 years of progressive experience across platform engineering, product, or technology leadership, with 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

Platform, Engineering & Delivery Leadership:

• 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 engineering (AWS and/or Azure), DevSecOps practices, and automation at scale
• Experience improving developer experience, CI/CD pipelines, and engineering productivity at scale

Quality, Reliability & Security:

• Experience establishing quality engineering standards, reliability practices, and production observability
• Strong command of SRE principles, operational excellence, and customer-facing system reliability
• Working knowledge of application security and compliance within regulated environments, including customer data protection

AI, Data & Emerging Technology:

• Familiarity with AI/ML platforms and LLM integration patterns, with a practical understanding of applying emerging technologies to customer and platform design
• Ability to translate technology innovation into business value, customer outcomes, and scalable platforms

Technical Depth (Preferred):

• Prior hands-on experience with technologies such as .NET, Java (Spring Boot), APIs/microservices, SQL/Oracle, or containerized platforms (Kubernetes/OpenShift)
• Ability to engage deeply with engineering teams while operating effectively at the executive level

Leadership & Influence:

• Proven ability to align stakeholders and drive prioritization across a matrixed organization
• Strong problem-solving and critical thinking skills, with the ability to navigate ambiguity
• Excellent communication skills, translating complex technical concepts into clear business outcomes

Licensing / Regulatory Requirement:

• Client Securities Industry Essentials (SIE) and Series 99 (Operations Professional) licenses required, or must be obtained within 120 days of employment

Wealth Management & Financial Services (Preferred):

• Knowledge of the retail advice and brokerage ecosystem (e.g., Pershing, Schwab, Envestnet, Apex)
• Understanding of wealth platform integrations, advisory models (UMA/SMA), and billing/commission structures
• Familiarity with industry and regulatory standards (e.g., Client, SEC, DTCC, LIMRA)
• Exposure to retirement, workplace solutions, wealth management, or benefits platforms