Strategic QE Consultant

Infosys•New York, NY

6d•$141,126 - $175,561•Hybrid

About The Position

The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation. You'll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel.

Requirements

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.
Experience in executive advisory and C-Suite engagement.
Experience in business consulting and digital transformation.
Experience in operating model design.
Experience in organizational change management.
Experience in testing center of excellence (TCoE).
Experience in test automation and continuous testing.
Experience in Agile, DevOps, and CI/CD.
Experience in Cloud migration validation.
Experience in SAP, ERP, and enterprise application validation.
Experience in Generative AI and Agentic AI.
Experience in AI assurance and AI validation.
Experience in autonomous testing.
Experience in predictive quality analytics.
Experience in AI-Powered test automation.
Experience in innovation and emerging technology strategy.
Experience in strategic account growth.
Experience in executive stakeholder management.
Experience in finance and revenue management.
Experience in proposal and deal leadership.
Experience in managing services transformation.
Experience in consultative selling and business development.

Nice To Haves

Experience in enterprise modernization programs.
Experience in quality engineering operating model transformation.
Experience in multi-year digital transformation initiatives.
Experience in executive governance and steering committee leadership.
Experience in Cloud-native quality engineering frameworks.
Experience in AI-enabled transformation roadmaps.
Experience in industry-specific consulting solutions.
Experience in business case development and investment planning.
Experience in large-scale portfolio governance.
Experience in practice building and capability development.
Experience in thought leadership and consulting methodologies.
Experience in strategic account mining and growth initiatives.
Experience in data platform and ETL testing.
Experience in performance engineering.

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