Delivery Manager - Data & Analytics

We are looking for an experienced Delivery Manager with a strong background in Data & Analytics to manage client communications, analyze requirements, define and allocate tasks, and track project progress. The ideal candidate should have hands-on experience in data engineering and advanced analytics projects, enabling them to effectively lead and deliver high-quality solutions. This role demands a mix of technical acumen and project management expertise to ensure successful execution of data-driven initiatives.

Responsibilities:

• Client Communication:
• Serve as the primary point of contact for clients, ensuring clear and consistent communication throughout the project lifecycle.
• Understand client needs and translate them into actionable tasks for the team.
• Requirement Analysis:
• Engage with clients and stakeholders to gather and analyze requirements for data and analytics projects.
• Ensure all requirements are documented and understood by the team.
• Task Definition & Allocation:
• Break down high-level project requirements into detailed, low-level tasks.
• Allocate tasks to appropriate resources based on skill sets and project needs.
• Ensure all team members have a clear understanding of their responsibilities.
• Project Planning & Roadmap:
• Define the project roadmap, including milestones, deliverables, and timelines.
• Develop a Work Breakdown Structure (WBS) to organize tasks and responsibilities.
• Estimate project timelines and resources required to achieve project goals.
• Resource Management:
• Identify and allocate the right resources to project tasks, ensuring optimal utilization.
• Monitor resource availability and adjust allocations as necessary to meet project demands.
• Progress Tracking & Reporting:
• Track the progress of tasks and the overall project, ensuring alignment with the roadmap.
• Identify and address any roadblocks or issues that may impact project delivery.
• Provide regular updates to stakeholders on project status, risks, and outcomes.
• Technical Oversight:
• Offer guidance and support to the team on data engineering and analytics projects.
• Ensure the technical quality and integrity of deliverables.
• Stay up to date with industry trends and technologies to drive innovation within the team.
• Project Execution:
• Lead the team in executing project tasks, ensuring adherence to quality standards and deadlines.
• Coordinate with cross-functional teams to integrate efforts and achieve project objectives.

Requirements:

• Bachelors degree in Computer Science, Information Technology, Data Science, or a related field. A Master s degree is a plus.
• Minimum of 10 years of experience in project management, with at least 7 years in managing data engineering and advanced analytics projects.
• Proven experience in client management and requirement analysis.
• Strong background in data engineering, including knowledge of ETL processes, data warehousing, and data modeling.
• Experience with advanced analytics techniques, including machine learning, statistical analysis, and data visualization.
• Excellent communication and interpersonal skills, with the ability to manage client relationships effectively.
• Strong organizational skills, with the ability to manage multiple tasks and projects simultaneously.
• Proficiency in project management tools such as Jira, Trello, or MS Project.
• Understanding of Agile and Waterfall methodologies.
• Technical proficiency in relevant tools and technologies (e.g., SQL, Python, Big Data technologies, Snowflake, Data Bricks, cloud platforms, like AWS, Azure).

Certifications:

• PMP, PRINCE2, or Agile certification is a plus.
• AWS or Azure certification is a plus.