Sr. Manager QE Technology & Innovation

5154a6eb-14d1-4663-b31c-c91a4fc4a51a•Elmwood Park, NJ

2d•$110,000 - $115,000•Hybrid

About The Position

ELLKAY is seeking a Sr. Manager QE Technology & Innovation to lead the technical transformation of Quality Engineering through automation, AI, data quality, performance engineering, and production quality intelligence. The role serves as the QA Director's accountable technical leader, translating business quality goals into scalable engineering capabilities while combining architecture judgment, people leadership, and delivery ownership across U.S. and India teams. The position manages the Principal QE and AI Quality Architect, Automation Technical Lead, Senior Data QE, and Production and Customer Quality Intelligence Lead. It partners with the separately reporting AI Quality and Innovation Manager and collaborates with the Principal Architect and teams across Product, Development, Data Engineering, Security, and Operations. ELLKAY operates as a hybrid workplace, with remote work considered for candidates who live more than 40 miles from an office and whose skills and experience strongly align with the role. The compensation range is $110,000–$115,000.

Requirements

Bachelor's degree in computer science, engineering, information systems, or a related field, or equivalent practical experience.
12+ years of relevant engineering experience, including 5+ years of direct people management and 3+ years of automation architecture or quality-platform ownership; experience may overlap.
Demonstrated delivery of enterprise automation using UI, API, integration, database, and CI/CD testing approaches.
Ability to review code and designs in a language such as Python, Java, C#, or TypeScript and assess cloud and distributed-system testing strategies.
Practical experience evaluating or implementing AI-assisted engineering capabilities with measurable outcomes and appropriate review controls.
Experience directing performance, reliability, data testing, observability, and engineering metrics through specialist teams.
Proven management of distributed teams, stakeholder expectations, delivery commitments, and technology budgets.

Nice To Haves

Healthcare software experience, including clinical or payer/provider workflows, interoperability, and protection of sensitive data.
Experience scaling shared engineering platforms, AI evaluation programs, or production quality intelligence capabilities.
Experience leading organizational change and coaching product teams to adopt common quality practices.

Responsibilities

Own the technical roadmap for automation, quality platforms, data quality, performance, reliability, and production quality intelligence.
Lead technical teams across locations, set priorities, manage capacity, and own execution against agreed quality and delivery goals.
Evaluate designs, resolve technical disagreements, and present recommendations, tradeoffs, and investment needs to the QA Director.
Partner with the Principal Architect to select tools and establish reusable frameworks, engineering standards, and technical governance.
Deliver reliable automated quality gates within CI/CD pipelines and improve test speed, stability, coverage, and maintainability.
Partner with the AI Quality and Innovation Manager to adopt AI-assisted testing and evaluation capabilities across product teams.
Establish controls for approved AI tools, sensitive data, human review, and validation of AI-generated tests and results.
Coordinate with Product, Development, Data Engineering, Security, and Operations on testability, release risks, and technical dependencies.
Build the team through hiring, coaching, performance management, succession planning, and evaluation of vendors and technology costs.
Use production incidents, customer feedback, and quality metrics to prioritize defect prevention and demonstrate business value.