GenAI Lead - Manager

Responsibilities

• Leading GenAI data engineering workstreams across cloud-based platforms and data modernization initiatives
• Managing client-facing delivery for data pipelines, data integration, and data transformation activities
• Guiding teams in designing GenAI-ready data architectures, data models, and data warehouses
• Supervising development of scalable solutions using Databricks, Snowflake, Azure Data Factory, and AWS services
• Reviewing data quality, validation, security, anonymization, and performance tuning activities across engineering deliverables
• Applying AI fluency and AI-human collaboration concepts to shape automation and analytics use cases
• Coaching team members on agile delivery methods, technical problem solving, and digital tooling adoption
• Identifying opportunities to improve data strategy, pipeline reliability, and platform efficiency
• Supporting stakeholder discussions on delivery priorities, risks, dependencies, and implementation timelines
• What You Must Have
• At least a Bachelor's degree
• At least 8 years of experience
• Oral and written proficiency in English required
• What Sets You Apart
• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Demonstrating leadership in GenAI delivery for enterprise data modernization
• Applying Databricks, Snowflake, or Azure Data Factory experience
• Managing data architecture, pipelines, and quality improvements
• Coaching teams through agile delivery and technical problem solving
• Translating AI strategy into client-ready implementation roadmaps