Delivery Manager

Project Management: Oversee the end-to-end delivery of data projects, ensuring they are completed on time, within scope, and within budget by managing Risk. Strong proficiency in Scrum methodologies is required. 

Stakeholder Collaboration: Work closely with project sponsors and external partners to define project goals, deliverables, and acceptance criteria.   

Data Quality Assurance: Implement and maintain data quality standards and practices to ensure the accuracy and reliability of data. 

Team Leadership: Lead and coordinate the activities of data engineers, test engineers, and other team members to ensure seamless project execution. 

Continuous Improvement: Foster a culture of continuous improvement by implementing best practices for data delivery, and staying updated with the latest industry trends and technologies. 

Education: Bachelor's degree in computer science, Data Science, Information Technology, or a related field. A master's degree is preferred. 

Experience: Minimum of 5 years of experience in data management, project management, or a related field. Experience in Data Delivery, AI and DataOps is highly desirable. 

Cloud Platform and Technical Skills: Experience in one or more cloud platforms such as GCP, AWS and Databricks is highly recommended. Proficiency in data management tools and platforms (e.g., SQL, Python, ETL processes), and familiarity with AI and machine learning concepts. 

Project Management: Strong project management skills, with experience in Agile and Waterfall methodologies. Proficiency in Scrum is essential. 

Communication and Problem Solving: Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders. Have strong problem-solving skill, with the ability to think strategically and drive innovative solutions.