Manual QA

VSG Business Solutions•Boston, MA

1d•Hybrid

About The Position

This is primarily a manual QA / QA Analyst role, with some exposure to automation and AI-assisted testing. The Quality Assurance Analyst develops and executes testing based on project requirements and technical designs, contributes quality input early in the software development lifecycle, and communicates project quality and release readiness. The role collaborates with cross-functional stakeholders and supports User Acceptance Testing (UAT). It also uses Generative AI and Agentic AI to improve testing activities, while evaluating AI-generated results for accuracy.

Requirements

3–10 years of software testing experience and/or Property & Casualty Insurance industry experience.
Experience with OpenText Quality Center/ALM (formerly HP ALM) for requirements, test case, and defect management.
Experience with data testing, including writing SQL queries and working with XML and other structured data formats.
Experience utilizing Agentic AI.
Experience using Generative AI tools, such as Microsoft Copilot, ChatGPT, or GitHub Copilot, to improve software testing activities, including test case generation, test data creation, documentation, and productivity.
Understanding of AI-assisted testing concepts and ability to evaluate and validate AI-generated testing artifacts.
Excellent written and verbal communication and facilitation skills.
Strong analytical, problem-solving, and critical-thinking skills with exceptional attention to detail.
Ability to work independently and collaboratively in a cross-functional team environment.
Self-starter with strong negotiation, conflict-resolution, and influencing skills.
Continuous improvement mindset and interest in using emerging technologies to enhance QA processes.

Nice To Haves

Claims experience.
Familiarity with test automation frameworks and AI-enhanced testing tools.

Responsibilities

Develop, document, and execute detailed test plans, test cases, and test scripts based on requirements and specifications.
Participate in requirements reviews and provide quality input early in the software development lifecycle.
Plan test schedules and testing strategies according to project scope and delivery timelines.
Schedule and facilitate test plan reviews with project managers, business analysts, and UAT leads.
Document test cases, test results, and defects using OpenText Quality Center/ALM.
Create and manage test data, including data used for automated testing where applicable.
Use Generative AI tools to improve test design, generate scenarios and test data, accelerate documentation, and enhance testing efficiency; validate AI-generated outputs for accuracy.
Use Agentic AI and validate results.
Identify opportunities to incorporate AI-assisted testing to improve test coverage, productivity, and quality throughout the software development lifecycle.
Document and communicate project quality throughout testing, including release readiness, using standard processes and status reporting templates.
Collaborate with developers, project managers, business analysts, and other stakeholders to ensure quality standards are met throughout the project lifecycle.
Support UAT by providing test artifacts, test data, and knowledge transfer to business users.
Ensure compliance with company policies, procedures, security requirements, and applicable industry regulations and standards.
Evaluate emerging QA tools, automation capabilities, and AI technologies and recommend process improvements and best practices.