Director - Data Engineering

Role Overview: As an experienced Data Project Manager, you will be responsible for overseeing various data projects such as Data Warehouse, Business Intelligence, and Data Lake initiatives. Your role will involve managing a team of at least 15 individuals, ensuring that projects are executed efficiently and effectively. You will need to possess a strong understanding of project finance, scheduling, quality planning, and audit processes. Your ability to effectively manage customer relationships and expectations will be crucial to the success of the projects under your supervision. Key Responsibilities: - Oversee various data projects including Data Warehouse, Business Intelligence, and Data Lake initiatives - Manage a team of at least 15 individuals to ensure efficient and effective project execution - Understand project finance, scheduling, quality planning, and audit processes - Manage customer relationships and expectations to ensure project success - Possess additional certifications in project management, Agile, or Lean Six Sigma from reputable institutions such as PMI or ASQ - Demonstrate knowledge of data warehousing principles, business intelligence technologies, and data analytics concepts - Experience with ETL processes, data warehouse development, and working in Agile/Scrum environments - Proficient in leading Agile projects using tools like Jira, git, or similar project management systems - Background in project management, process improvement, System Development Life Cycle, CI/CD, and DevOps practices - Resolve conflicts and address project blockers efficiently to ensure project success - Excellent communication and presentation skills, both oral and written, tailored to engage stakeholders at various levels within the organization Qualifications Required: - Strong understanding of project finance, scheduling, quality planning, and audit processes - Additional certifications in project management, Agile, or Lean Six Sigma from reputable institutions such as PMI or ASQ - Knowledge of data warehousing principles, business intelligence technologies, and data analytics concepts - Experience with ETL processes, data warehouse development, and working in Agile/Scrum environments - Proficiency in leading Agile projects using tools like Jira, git, or similar project management systems - Background in project management, process improvement, System Development Life Cycle, CI/CD, and DevOps practices - Excellent communication and presentation skills, both oral and written, tailored to engage stakeholders at various levels within the organization,