Strategic QE Consultant

About the role

Overview The Infosys Manufacturing unit is at the forefront of revolutionizing the industry with innovative digital solutions. We specialize in transforming client relationships in the Automotive, Aerospace, Defense, and Industrial Manufacturing sectors, driving significant growth and operational excellence. Join us to be part of a team that leverages cutting-edge technology to create sustainable, efficient, and resilient manufacturing processes, making a tangible impact on the global stage.

Responsibilities

• Lead comprehensive process analysis initiatives using advanced techniques like process mining, workflow simulation, and efficiency modelling to identify strategic opportunities.
• Develop complex data models that provide actionable insights for process enhancement and guiding critical business decisions and influencing long-term planning
• Conduct in-depth evaluations of complex IT solutions, leveraging process-centric expertise to assess their effectiveness in streamlining operations and achieving organizational goals
• Lead the creation of technical materials, simplifying complex process concepts for diverse audiences, including process practitioners and business stakeholders
• Lead advanced research on process tools, analysing long-term product roadmaps and vendor strategies to identify trends and adopt cutting-edge solutions that enhance efficiency and innovation
• Design comprehensive architectural models and blueprints for implementing process enhancements and automation solutions that address both immediate and future business needs
• Formulate proactive maintenance strategies to ensure system health, scalability, and sustained process performance.

Skills

• Expertise in advanced process analysis techniques and methodologies
• Proficiency in evaluating IT solutions and aligning them with process enhancement goals
• A focus on innovation and adaptability for integrating new technologies
• Proactive problem-solving to streamline complex requirements.
• Skilled in research, innovation adoption, and designing scalable architectures

Requirements

• Experience in quality Engineering and testing strategy.
• Experience in Testing Center of Excellence (TCoE) setup and data governance.
• Experience in AI Engineering/AI/ML Solution Architecture and design.
• Experience in test consulting process.
• Experience in quality Engineering transformation and modernization initiatives.
• Experience in Agile, devOps, and CI/CD practices.
• Experience in data warehouse and ETL testing.
• Experience in performance engineering and non-functional testing.
• Experience in Generative AI and