AI QA Engineer: Dashboards, Data & Testing

Genpact LLC; Arvada (CO); On-site; USD 50,000 - 63,000; Full time

Job summary

Genpact LLC is hiring for an Engineer - Testing & Quality Assurance to design, develop, and maintain Power BI dashboards for training operations. You will integrate data from Spotfire and Smartsheet, perform data analysis, and interpret results to support strategic decisions.

The role requires strong QA skills, experience with API and SOA testing, and collaboration across teams to improve data quality and reporting processes.

Qualifications

• Proven experience in testing and QA for AI-related projects.
• Strong knowledge of data visualization and analytics platforms.
• Experience with cross-functional collaboration and reporting.

Responsibilities

• Design and develop Power BI dashboards for training operations insights.
• Integrate diverse data sources like Spotfire and Smartsheet.
• Analyze data to identify trends and evaluate workforce deployment models.
• Monitor performance and optimize training delivery and customer experience.
• Provide data-driven support for strategic planning and decision-making.
• Collaborate with teams to gather requirements and present findings clearly.
• Identify opportunities to improve data quality and reporting processes.

Skills

Agile Methodology

API Testing

Collaboration Tools

Design Thinking

Erp Testing

Executive Presence

Functional Testing

Regression Testing

SOA Testing

Storytelling

User Acceptance Testing

Web Service Testing

Education

Bachelor's degree in Computer Engineering

Bachelor's degree in Computer Science

Bachelor's degree in Information Technology

Master's degree in Software Engineering

Tools

Power BI

Spotfire

Smartsheet

Job description

Genpact LLC is hiring for an Engineer - Testing & Quality Assurance to design, develop, and maintain Power BI dashboards for training operations. You will integrate data from Spotfire and Smartsheet, perform data analysis, and interpret results to support strategic decisions.

The role requires strong QA skills, experience with API and SOA testing, and collaboration across teams to improve data quality and reporting processes.