Experience must include (quantitative experience requirements not applicable to this section unless otherwise stated): Three (3) years of experience performing project and program management for enterprise cloud data and analytics platform implementations and leading data migrations; Applying Agile practices to lead projects using Scrum or Kanban frameworks; Designing and implementing ETL processes, data pipelines, and modeling techniques, and troubleshooting and optimizing workflows for efficient data processing and storage; Managing and querying SQL/NoSQL databases (Snowflake, Redshift, and BigQuery) and designing data architectures (data lakes and lakehouses) for analytics and reporting; Deploying and managing applications on AWS, Azure, or GCP, ensuring GDPR/CCPA compliance with Big Data frameworks (Spark and Hadoop), and implementing data governance for secure, AI/ML-driven data handling; Building and deploying Artificial Intelligence (AI) and Machine Learning (ML) models using cloud AI services (AWS SageMaker, Azure Machine Learning, or Google AI Platform); and, Utilizing programming skills in Python, Java, or Scala, and BI tools (Tableau and Power BI). Requires: Bachelors degree in Computer Engineering, Electronic Engineering or related field (willing to accept foreign education equivalent) plus seven (7) years of experience as a Feature Team Lead or related occupation leading technical execution of data-driven IT and software projects; or, alternatively, Master's degree in Computer Engineering, Electronic Engineering or related field (willing to accept foreign education equivalent) plus five (5) years of experience as a Feature Team Lead or related occupation leading technical execution of data-driven IT and software projects.