Sr System Analyst, Enterprise QE Automation & Tool Governance lead

Overview

Responsibilities

• Govern TCoEs QE technology and test tool strategy, standards, and best practices.
• Drive innovation and adoption of emerging tech, including GenAI automation (self-healing, pattern matching, BDD auto-generation).
• Manage and lead QE strategy and tool standards across UI, API, mobile, and data testing, conduct pilots and ROI assessments.
• Architect and scale automation frameworks using tools like Selenium, Playwright, Cypress, Tosca, MABL, UFT.
• Integrate automation into CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions).
• Implement Test Data Management and Test Environment Management automation.
• Develop automation solutions for applications behind firewalls, requiring knowledge of network architectures.
• Build process automation using Azure Logic Apps, Functions, and Microsoft Power Automate.
• Script tests in Java, JavaScript, Python, and develop frameworks (Cucumber, TestNG, Maven, WebDriver IO).
• Perform data validation with Oracle, MySQL, MongoDB; monitor using Splunk, ELK, Grafana, New Relic.
• Apply AI in testing, including Generative/Agentic AI, RAG, fine-tuning, and LLMs (GPT-4.x/5.x, Gemini).
• Manage a team of contractors and lead enterprise QE tech initiatives, present innovation roadmaps, and oversee vendor relationships.
• Collaborate with QE, Development, Product, and Business teams to align tools with delivery goals and drive modernization initiatives.

Qualifications

• Bachelor's Degree and with a minimum of six (6) years of related work experience or
• Associate's Degree and with a minimum of seven (7) years of related work experience or
• High School Diploma/GED and with a minimum of eight (8) years of related work experience.

• Bachelor's Degree in Information Technology, Computer Science or Engineering and six (6) years' IT work experience.

• 6+ years in QE technology, automation development, and tool architecture, required.
• Proven experience in enterprise-scale test tool evaluation and governance, required.
• Experience with testing life cycle, required.
• Knowledge/Experience with Generative and Agentic AI, required.
• Familiar with RAG and Fine-tuning, required.
• Knowledge/experience in using the popular LLMs like GPT 4.x/5.x or Gemini, etc. required.
• Strong knowledge of automation frameworks, DevOps integration, and process automation, required.
• Hands-on experience with functional and non-functional testing tools, required.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams, required.
• Possesses the skill to be flexible and adaptable in a fast-changing business setting, with the ability to change priorities and efforts as needs and goals change, required.
• Experience with Sprint Planning, Backlog Refinement, Increment Planning, and Retrospectives, required.
• Someone with Scrum Certification and Scrum project management, preferred.

• Demonstrated problem solving skills
• Builds and manages effective teams
• Demonstrates a high commitment to quality
• Possesses strong technical aptitude

• Driver's License Required

• Sit or stand to answer a phone for the duration of the workday
• Sit or stand to use a keyboard, mouse, and computer for the duration of the workday
• Ability to stoop, bend, reach, and kneel throughout the workday
• Ability to read small print and symbols

• The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.
• Must be able and willing to travel within Company service territory, as needed.
• Must be available 24/7, on call, and/or participate in off-hour emergency response activities as required.
• Must be able to participate in the Companys emergency management processes and storm plans as required.