Corporate Vice President - Enterprise Quality Engineering Architect

New York Life•New York, NY

11h•$133,000 - $190,000•Hybrid

About The Position

New York Life is seeking an Enterprise Quality Engineering Architect for Enterprise Technology Services (ETS), Cyber/Security, and AI & Data within the Enterprise Quality Engineering organization. The role is the accountable quality leader for these portfolios and applies enterprise standards, leads release testing, and advances an automation-first approach to quality across the value streams. It reports to the Corporate Vice President, Enterprise Quality Engineering. The position owns the quality engineering strategy, processes, and risk posture for its domain; partners with value-stream and product leaders in planning, release readiness, and governance; and directs release-testing teams. It establishes testing practices for infrastructure, platforms, security, data pipelines, analytics, and AI models, while driving automation and embedding quality into CI/CD and DevSecOps. The role collaborates across product, engineering, architecture, release management, and production support to improve release confidence, stability, and delivery predictability, and contributes metrics to enterprise dashboards while mentoring QE staff and consultants. Success is measured by consistent release testing against enterprise gates, fewer production defects and recurring incidents, adoption of the Agentic QE platform and automation, documented security and data/model testing practices, reduced audit findings, delivery of agreed outcomes by aligned engineers, and trusted partnerships with business and technology leaders. The position is hybrid, with three days per quarter designated for in-person work. The stated salary range is $133,000–$190,000. The role is exempt from overtime and eligible for an annual discretionary bonus and may also be eligible for an incentive program.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent practical experience.
10+ years of experience in software engineering, technology delivery, or quality engineering, including 4+ years leading teams or vendor-supported pods.
Experience validating data pipelines, analytics, or machine-learning models.
Experience in security testing, control frameworks (e.g., NIST, SOC), and regulated change management.
Experience with cloud platforms and infrastructure-as-code testing.
Demonstrated success leading quality engineering and release testing in complex, highly regulated environments.
Hands-on expertise in test automation, CI/CD, DevSecOps, and release-based testing across multiple applications.
Experience with non-functional testing and testing in infrastructure, security, or data platform environments.
Strong communication and stakeholder management skills, including the ability to influence senior business and technology leaders across a matrixed enterprise.
Experience defining and reporting quality metrics and KPIs that provide meaningful insight into delivery health and production stability.

Nice To Haves

Experience in financial services, insurance, or another highly regulated industry.
Experience managing consulting-partner or offshore test teams.
Experience with AI-enabled testing, intelligent automation, or predictive quality analytics.

Responsibilities

Own the EQE strategy, process, and risk posture for the domain, applying enterprise quality standards, release gates, and scorecard measures and escalating risks and exceptions to the CVP.
Serve as the QE partner to ETS, Security, and AI & Data value streams and product leadership, participating in planning, release readiness, and governance forums.
Establish approaches for infrastructure and platform regression, resilience, and performance testing, and embed security testing and control validation into release testing with Cyber teams.
Define data quality, pipeline, and model validation practices, including accuracy, drift, bias, and explainability, with AI & Data teams.
Direct the domain release-testing team, ensuring release testing occurs for every release with clear scope, entry and exit criteria, and coordination with the Release Testing Lead on schedules, environments, test data, and defect triage.
Drive adoption of test automation, agentic and AI-enabled QE, and QE Enablement (C4E) services, embedding quality into CI/CD and DevSecOps pipelines.
Partner with Product, Engineering, Architecture, Release Management, and Production Support leaders to improve release confidence, production stability, and delivery predictability.
Drive root-cause remediation of systemic quality issues.
Contribute domain metrics to enterprise quality dashboards.
Mentor QE staff and consultants and share practices with fellow Cross-Tech QE Leads.