Strategic QA & AI Transformation Consultant

Infosys Limited

Phoenix (AZ)

On-site

USD 120,000 - 190,000

Full time

2 days ago

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Benefits offered by this job

Disability insurance

Health reimbursement accounts

401(k) plan

Job summary

Infosys Limited, through its Financial Services unit, leads digital transformation for banks, wealth managers and insurers by leveraging AI, cloud and data-driven innovation. This role is to drive enterprise-wide process improvements, automation initiatives and strategic technology adoption across client engagements, delivering measurable business value and enhanced customer experiences.

The Process Principal will guide evaluations, establish automation criteria, and oversee architecture

Qualifications

Experience in enterprise quality engineering strategy design.
Experience in AI Engineering/AI/ML Solution Architecture and design.
Experience in test consulting process.
Experience in enterprise transformation consulting.
Experience in portfolio and program governance.

Responsibilities

Direct enterprise-wide process analysis, championing innovative analytical methodologies to identify optimization opportunities, automate workflows, and drive transformative business outcomes.
Guide strategic evaluations and benchmarking studies of IT solutions, establishing automation-driven criteria to enhance efficiency and align with client objectives.
Oversee the creation and standardization of comprehensive process documentation, ensuring clear communication and accessibility for stakeholders and teams.
Drive research and evaluation of process automation tools and systems, providing strategic insights for adopting technologies that align with business goals and foster innovation.
Lead the development of process-centric solution architectures, integrating advanced technologies to optimize workflows, streamline operations, and enable continuous improvement.
Oversee the strategic direction and progress of technical solution implementation, ensuring alignment with business objectives and embedding best practices for sustained system performance and adaptability.