Key Deliverables: 1. Lead and mentor a high-performing data engineering and AI/ML team.
Drive scalable data pipeline and automation solution development.
Execute data intelligence strategies aligned with business goals.
Leverage
Databricks and orchestration tools for ML workflows.
Role Responsibilities: 1. Translate business needs into actionable technical initiatives.
Collaborate with cross-functional teams for delivery alignment.
Promote innovation through tool and process improvements.
Ensure timely execution and quality of engineering deliverables.