Leads data and analytics consulting for customers across industries, defining AI and data-use strategies, designing integrated solutions, and guiding adoption roadmaps while mentoring consultants.
About this role
The role sits in a software-engineering consulting group supporting digital transformation and process improvement for client companies, especially manufacturers in automotive and medical fields. It focuses on software and system development quality from consulting proposal through project execution.
Responsibilities include reviewing clients’ quality-assurance processes and tools, designing quality-audit and quantitative-analysis processes, and using AI to advance quality assurance. The consultant performs audits and quantitative analysis in development projects, helps client members develop as SQA personnel, and supports proposals for software quality-assurance services.
Applicants must seek a consulting career and have experience in system or software development plus quality assurance for that work. At least one of these backgrounds is required: taking a development project from requirements definition through release or managing its members; managing, analyzing, and judging quality as a participant or third-party SQA practitioner; or auditing or assessing a development project. Prior consulting experience is not required.
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