- We are seeking a Quality Engineering Lead to drive the delivery of AI Data Assurance initiatives by ensuring trusted high quality and AI ready data foundations
- This role is responsible for defining quality strategies establishing AI Data assurance frameworks driving automation and ensuring trusted high quality AI ready data foundations that enable reliable responsible and business aligned AI outcomes
- The ideal candidate will have strong experience in Data Testing AI Data Assurance Analytics Testing AI ML Data Validation and Quality Engineering along with a solid understanding of AI GenAI ecosystems LLMs RAG architectures DataOps MLOps and Responsible AI practices
- Project Delivery Leadership
- Lead end to end delivery of AI Data Assurance programs
- Drive delivery governance quality metrics executive reporting and Agile Hybrid delivery excellence
- Quality Engineering AI Assurance Governance
- Define quality strategies testing frameworks and assurance processes for AI ML GenAI AI data assurance analytics and BI platforms
- Govern end to end validation release readiness and quality gates
- Lead testing and validation of data platforms pipelines analytics solutions BI platforms and AI ready datasets
- Implement AI Data Harness Assurance across data pipelines RAG systems vector stores and AI workflows
- Drive AI Data Outcome Assurance by evaluating AI output quality reliability explainability and business alignment
- Support Responsible AI AI Governance and Model Assurance initiatives
- Automation Client Orientation Team Leadership
- Build automation frameworks for AI Data Assurance BI assurance and continuous quality monitoring
- Embed quality controls and assurance gates within DataOps MLOps and CI CD pipelines
- Lead and mentor AI Data Assurance teams and drive capability development quality reviews and continuous improvement
- Collaborate with business product data engineering architecture AI ML and platform teams to deliver AI transformation initiatives
- Drive automation AI assisted testing capability development and continuous improvement initiatives
- Build AI data assurance accelerators and participate in client demos
- Contribute to client pursuits solutioning proposals estimations and AI assurance offerings
- Build partnerships thought leadership assets innovation frameworks webinars workshops and knowledge sharing initiatives
- Required Skills Experience
- 5 years of experience in Data Quality Engineering Analytics Testing or Data driven transformation programs
- 3 years leading AI Data Assurance AI GenAI Analytics or AI Quality Engineering initiatives
- Strong knowledge of AI ML GenAI LLMs various RAG Architectures Prompt Engineering Vector Databases DataOps MLOps and AI Governance
- Strong expertise in ETL Testing Analytics BI Testing Reporting Validation AI Data Readiness Assurance AI Data Harness Assurance AI Data Outcome Assurance and Continuous AI Assurance
- Hands on Experience with Cloud Data AI Platforms such as Azure AWS GCP Databricks Snowflake Microsoft Fabric or similar
- Strong leadership stakeholder management communication and mentoring skills
- Technical Professional Requirements
- Agile Delivery Quality Governance
- AI Data Assurance AI ML GenAI LLMs RAG Architectures
- Data Quality Data Governance Responsible AI
- ETL Data Warehouse Analytics BI Data Integration Testing
- SQL Snowflake Databricks Informatica Azure Data Factory ADF
- Prompt Engineering Retrieval Assurance
- Python PySpark Test Automation
- Playwright API Testing
- Vector Databases AI Data Pipelines DataOps MLOps
- Azure AWS GCP Data AI Platforms
- Jira Zephyr Azure DevOps CI CD
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