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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Test Data Management (TDM) Expert with GenAI - **Company:** Capgemini - **Location:** Cincinnati, OH, United States - **Salary:** $97,371.0 - $121,364.0 - **Contract:** Permanent contract - **Skills:** Testing (Software), Artificial Intelligence, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Data Masking, Search Technologies, Test Data, Privacy Controls, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, AI Platforms, Data Management, Virtual Agents, Data Generation - **Published:** August 24, 2026 - **Apply:** https://www.capgemini.com/jobs/538515-en_US_SAPBTP/x/ ## About the Role We are seeking an experienced Test Data Management (TDM) Expert / Lead with deep expertise in IBM Optim, data masking, synthetic test data generation, data privacy, and Quality Engineering transformation. The ideal candidate will also possess strong knowledge of Generative AI (GenAI), AI Agents, RAG, LLMs, and intelligent automation to drive modernization initiatives across enterprise testing and data management programs., * Experience within Banking, Capital Markets, or Financial Services industries. * Experience modernizing Quality Engineering, Testing, or Test Data Management organizations. * Hands-on experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar GenAI platforms. * Familiarity with AI frameworks such as Semantic Kernel, LangGraph, CrewAI, AutoGen, or equivalent technologies. * Strong stakeholder management, consulting, and solution architecture experience. ## Description * Act as the SME for IBM Optim and Test Data Management capabilities, including data masking, subsetting, obfuscation, and data privacy solutions. * Define and implement enterprise-wide TDM strategies that support testing, compliance, and governance requirements. * Design and implement data masking, synthetic data generation, and test data provisioning solutions. * Partner with application, testing, and business teams to assess test data requirements and recommend optimal TDM solutions. * Establish best practices for test data governance, privacy controls, and regulatory compliance. * Support enterprise testing programs by ensuring test data availability, quality, and accessibility. * Drive continuous improvement initiatives to enhance testing effectiveness, operational efficiency, and risk mitigation. * Collaborate with architecture, engineering, and quality leaders to modernize TDM capabilities across the organization. Generative AI & AI Enablement * Evaluate and implement Generative AI (GenAI) solutions to improve test data discovery, classification, and synthetic data creation. * Design AI-powered solutions that streamline Test Data Management and Quality Engineering processes. * Build and support AI Agents to automate data analysis, compliance validation, reporting, knowledge retrieval, and test data requests. * Apply Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Search, and Agent Orchestration techniques to improve productivity. * Define scalable GenAI architecture patterns in partnership with enterprise and solution architects. * Drive adoption of responsible AI practices, governance controls, security standards, and data privacy requirements. * Identify opportunities to leverage Agentic AI across testing, data management, and delivery organizations. Business & Leadership * Contribute to account growth by identifying cross-sell and up-sell opportunities related to Quality Engineering, Test Automation, Data Management, and AI services. * Provide consulting and solution design support for complex customer engagements. * Influence stakeholders and senior leadership on modernization strategies and AI adoption initiatives. ## Related Videos - [Dirty Tests And How To Clean Them](https://www.wearedevelopers.com/videos/515-dirty-tests-and-how-to-clean-them) - [This App Reached 10,000 Users in One Week. 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