Manual Quality Assurance Engineer with AI assist and Insurance claims (P&C)

Eliassen Group; Boston (MA); Híbrido; USD 62.000 - 76.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Dental insurance

Vision insurance

401k with company matching

Life insurance

Descripción de la vacante

Eliassen Group seeks a Sr. Quality Assurance Analyst in Boston for a high-volume QA environment. The role focuses on manual testing, developing and executing test plans and cases, and validating AI-generated outputs using Generative AI tools.

SQL data validation and experience with OpenText Quality Center/ALM are required. The position is hybrid with four days onsite near South Station. We offer W2 or Corp-to-Corp engagement and a benefits package for W2 consultants, including medical, dental,

Formación

• 4–10 years of software testing experience.
• Property & Casualty insurance experience preferred but not required.
• Data testing, SQL queries, and working with XML or other structured data formats.
• Hands-on use of Generative AI tools to support testing activities, with ability to evaluate and validate AI-generated artifacts.
• Excellent written and verbal communication and facilitation skills.
• Ability to work independently and across multiple projects.

Responsabilidades

• Develop, document, and execute detailed test plans, test cases, and test scripts.
• Participate in requirements reviews and provide quality input early in the SDLC.
• Plan test schedules and testing strategies aligned to project scope and timelines.
• Schedule and facilitate test plan reviews with PMs, BAs, and UAT leads.
• Document test cases, test results, and defects using OpenText Quality Center/ALM.
• Create and manage test data, including for automated testing where applicable.
• Leverage Generative AI tools to improve test design, generate scenarios, create test data, and accelerate documentation.
• Identify opportunities for AI-assisted testing techniques to improve coverage, productivity, and quality.
• Document and communicate project quality and release readiness using standard processes and templates.
• Collaborate with developers, project managers, business analysts, and stakeholders to ensure quality standards are met.
• Support UAT by providing test artifacts, test data, and knowledge transfer.
• Ensure compliance with policies, procedures, security requirements, and applicable regulations and standards.
• Evaluate emerging QA tools and AI technologies to recommend improvements and best practices.

Conocimientos

AI testing

Communication

Analytical thinking

Herramientas

OpenText Quality Center/ALM

Descripción del empleo

Hybrid 4 days onsite in Boston, MA (near South Station)

Our client is seeking a Sr. Quality Assurance Analyst with strong manual testing expertise to support a high-volume QA organization. The role will develop and execute test plans and cases, participate in requirement reviews, manage testing across multiple concurrent projects, and contribute to quality reporting. The analyst will leverage Generative AI tools to enhance test design, documentation, and productivity, while validating AI outputs. Basic-to-intermediate SQL is required for data validation. Property and Casualty insurance experience is preferred but not required.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $45.00 to $55.00/hr. w2

JN -102026-109203

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 aligned to project scope and 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 for automated testing where applicable.
• Leverage Generative AI tools to improve test design, generate scenarios, create test data, accelerate documentation, and enhance efficiency, while validating outputs for accuracy.
• Identify opportunities for AI-assisted testing techniques to improve coverage, productivity, and quality.
• Document and communicate project quality and release readiness using standard processes and templates.
• Collaborate with developers, project managers, business analysts, and stakeholders to ensure quality standards are met.
• Support UAT by providing test artifacts, test data, and knowledge transfer.
• Ensure compliance with policies, procedures, security requirements, and applicable regulations and standards.
• Evaluate emerging QA tools, automation capabilities, and AI technologies to recommend improvements and best practices.

Experience Requirements:

• 4–10 years of software testing experience.
• Strong + Property & Casualty insurance industry experience.
• Experience with OpenText Quality Center/ALM for requirements, test case, and defect management.
• Experience with data testing, SQL queries, and working with XML or other structured data formats.
• Hands-on use of Generative AI tools to support testing activities, with ability to evaluate and validate AI-generated artifacts.
• Familiarity with test automation frameworks and AI-enhanced testing tools is a plus.
• Exposure to Property & Casualty insurance preferred.
• Excellent written and verbal communication and facilitation skills.
• Strong analytical, problem-solving, and critical thinking skills with attention to detail.
• Ability to work independently and collaboratively across multiple projects.
• Self-starter with negotiation, conflict resolution, and influencing skills.
• Continuous improvement mindset focused on leveraging emerging technologies in QA.