Data Project Manager

Description

Job Summary: Data Project Manager to lead data engineering and data modernization projects in Azure and Databricks environments, ensuring high-impact deliveries and customer satisfaction. Key Highlights: 1. Lead data engineering and data modernization projects 2. Coordinate technical teams on Azure and Databricks 3. Manage stakeholders and contribute to proposals Responsible for leading data engineering and data modernization projects in Azure and Databricks environments, the Data Project Manager works with cross-functional teams to ensure high-impact deliveries, technical quality, financial control, and customer satisfaction in Data \& AI initiatives.\* Manage data projects from inception through delivery and sustainment * Plan schedules and deliveries using agile and hybrid methodologies * Coordinate technical teams on Azure and Databricks * Integrate engineering, analytics, and architecture teams * Control project scope, budget, and risks * Manage internal stakeholders, customers, and Microsoft partners * Contribute to technical and commercial proposals * Support definition of customers' data roadmaps * Promote DevOps, FinOps, and DataOps practices.\* Bachelor's degree in technology or related fields * Minimum 5 years of experience managing data projects * Proficiency in Azure and Databricks (Delta Lake, notebooks, jobs, clusters, pipelines) * Knowledge of ADF, Synapse, and Purview * Experience with agile methodologies and tools such as DevOps Boards and Jira * Executive communication skills and strategic influence * Intermediate or advanced English proficiency. Refer to Job description section for qualification required