Strategic QE Consultant for Insurance Tech & AI

Infosys; Woodbridge Township (NJ); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan

Job summary

Infosys Insurance unit seeks a Package Consultant 3 to drive QA transformation, architecture design, and complex ERP customizations for US client projects.

You will lead integration initiatives, data migration strategies, and performance optimization while coordinating with cross-functional teams and senior stakeholders. This role requires deep QE expertise and strong governance skills.

Qualifications

• Experience in QE Center of Excellence setup and transformation across organizations.
• Insurance domain experience and quality engineering transformation design.
• Experience in QE governance frameworks and governance cadence management.
• Executive stakeholder management and client-facing leadership experience.
• Experience in Test Data Management strategy and QE maturity roadmaps.
• Experience in API testing strategy and quality metrics reporting.

Responsibilities

• Analyze complex business processes to identify optimization opportunities and draft detailed requirements.
• Define and develop solution architecture, guiding integration efforts based on business analysis.
• Design and implement advanced ERP customizations and collaborate with development teams.
• Develop and implement complex integration workflows and data migration strategies.
• Lead performance optimization, compliance audits, and security protocol adherence.

Skills

QE Center of Excellence

Insurance domain experience

Quality engineering transformation

QE governance frameworks

Executive stakeholder management

Test Data Management (TDM)

APIs testing strategy

Delivery governance

Education

Bachelor’s degree or foreign equivalent

Job description

Infosys Insurance unit seeks a Package Consultant 3 to drive QA transformation, architecture design, and complex ERP customizations for US client projects.

You will lead integration initiatives, data migration strategies, and performance optimization while coordinating with cross-functional teams and senior stakeholders. This role requires deep QE expertise and strong governance skills.