Why This Role Stands Out
This hybrid role offers a fantastic opportunity to shape enterprise QA strategies for cutting-edge AI and data solutions, leveraging your expertise in Snowflake and SQL. You'll thrive here if you're a strategic thinker with a passion for ensuring the quality and accuracy of complex data platforms and AI models. Apply now to make a significant impact and grow your career!
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
Yesterday
SQLETLSnowflakeLLMReconciliationRisk Assessment
Job Description
Job Qualifications and Descriptions for AI Snowflake QA Strategist:
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Program Leadership & Cross-Functional Coordination
- Lead and coordinate testing activities across Business Teams, Technology Teams, Architecture Teams, and Third-Party Vendor Testing Teams.
- Establish enterprise QA standards, testing policies, and governance frameworks.
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Quality Assurance Strategy & Governance
- Define enterprise-wide testing strategies for applications, data platforms, analytics, and AI solutions.
- Establish risk-based testing methodologies and governance processes.
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AI Validation Responsibilities
- Validate response accuracy and quality.
- Perform hallucination detection and mitigation testing.
- Assess prompt robustness and adversarial testing scenarios.
Data Testing & Validation
- Define enterprise data validation and testing strategies.
- Validate ETL/ELT pipelines, data transformations, and reporting accuracy
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SQL & Snowflake Responsibilities
- Develop complex SQL queries for test validation and data analysis.
- Validate data pipelines and transformations within Snowflake environments.
- Perform data quality assessments, reconciliation, and data lineage validation.
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AI Testing Experience:
- Agentic AI Testing
- LLM Evaluation Frameworks
- Prompt Engineering Validation
- Hallucination Testing
- Responsible AI Testing
- RAG Validation
- AI Governance & Risk Assessment
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