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.
