Data Project Manager

Description

Job Summary: Data Project Manager to lead engineering and data modernization projects in Azure and Databricks environments, ensuring high-impact deliveries and customer satisfaction. Key Highlights: 1. Leadership of engineering and data modernization projects 2. Coordination of technical teams on Azure and Databricks 3. Stakeholder management and contribution to technical/commercial proposals Responsible for leading engineering and data modernization projects in Azure and Databricks environments, the Data Project Manager works with multidisciplinary 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-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. Refer to Job description section for qualification required