Director - SQA (Data)

4 weeks ago

New Delhi, India Antal International Full time

Summary role description:Hiring for a Director – SQA (Data) a fast-growing healthcare technology and clinical services provider, leveraging AI, ML, and cloud solutions to serve state and federal health agencies.Company description:Our client is a healthcare technology and clinical services provider backed by a global investment group. Headquartered in the U.S. with offices in India, the company serves multiple state and federal health agencies, impacting over 140 million beneficiaries nationwide. Its core offerings include advanced processing, clinical and provider solutions, and quality and compliance services, powered by proprietary digital platforms. Leveraging AI, ML, and cloud technologies, the organization drives modernization in healthcare delivery and has been recognized by leading business journals and corporate growth associations as one of the fastest-growing private companies.Role details:Title / Designation:Director – SQA (Data) Location:Chennai, India Work Mode:HybridRole & responsibilities:Lead the Software Quality Assurance team, ensuring accountability for delivery quality, customer satisfaction, and overall test strategy. Provide strategic direction across program releases, managing resources, costs, risks, and scope effectively. Deliver executive dashboards and metrics to monitor and communicate quality performance. Oversee SQA processes, ensuring traceability of test plans and scripts and adherence to established standards and methodologies. Drive automation and innovation within the QA program, including leveraging AI-driven testing tools. Collaborate with AI/ML teams to validate model outputs, ensure data quality, and develop testing strategies for AI-enabled features, including bias detection and performance benchmarking. Ensure AI systems comply with ethical standards, regulatory requirements, and internal governance policies. Identify and mitigate risks in product releases, ensuring successful delivery with a focus on quality and timeliness. Lead transformation initiatives and change management efforts, aligning QA strategy with organizational objectives.Candidate requirements:Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience). 18+ years of experience in Software Quality Assurance with recent 5+ years in next generation technology, including Gen AI. Experience with AI/ML systems, data-centric testing, and compliance frameworks. Deep expertise in SQA methodologies, automation frameworks, and cloud-based testing Strong understanding of AI compliance standards, data pipelines, and model validation. Strategic and innovative leader with proven ability to drive quality, mentor teams, and influence at scale. Agile, results-driven, accountable, and focused on long-term impact and talent development.Selection process:Interview with Senior Director Interview with Vice President Interview with MD

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