The Project Manager plays a crucial role in leading and managing multiple data-related projects, including Data Visualization, Data Migration, Data Engineering, Data Science, Data Warehousing, and Business Intelligence. This role requires strategic planning, effective communication, and proactive risk management to ensure successful project execution.
Key Responsibilities:
- Lead and manage multiple data related projects (Data Visualization, Data Migration, Data engineering, Data Science, Data Warehouse and Business Intelligence.)
- Develops project plan within constraints, delivery approach, key milestones and dependencies within the plan, requirements and scope, effort and resources, budgets and quality.
- Act as a primary liaison between customers and technical teams.
- Organise all project meetings including project kick-off, progress updates meeting, steering committee meetings, etc. Responsible in capturing and sharing meeting minutes and actions with project teams and updating project plans.
- Proactively monitors project execution to effectively identify risks, issues, dependencies as they arise throughout the project life cycle.
- Take ownership of highlighted risk, scope creep or concerns on projects and ensure effective, timely resolution.
- Complete appropriate project initiation, planning, close-out documentation.
Qualifications:
- Bachelor's degree in a relevant field such as Information Technology, Data Analytics or any relevant field.
- 2-3 years of demonstrated experience in project management roles.
- Experience in delivering data analytics solutions.
- Experience in leading Agile project implementations.
Skills & Competencies:
- Understanding of data lifecycle methodology for data related projects.
- Good team player with excellent engagement and collaboration skills.
- Ability to review and assimilate information across multiple projects.
- PMP Certification or other equivalent certifications would be a plus.
The Project Manager plays a crucial role in leading and managing multiple data-related projects, including Data Visualization, Data Migration, Data Engineering, Data Science, Data Warehousing, and Business Intelligence. This role requires strategic planning, effective communication, and proactive risk management to ensure successful project execution.
Key Responsibilities:
- Lead and manage multiple data related projects (Data Visualization, Data Migration, Data engineering, Data Science, Data Warehouse and Business Intelligence.)
- Develops project plan within constraints, delivery approach, key milestones and dependencies within the plan, requirements and scope, effort and resources, budgets and quality.
- Act as a primary liaison between customers and technical teams.
- Organise all project meetings including project kick-off, progress updates meeting, steering committee meetings, etc. Responsible in capturing and sharing meeting minutes and actions with project teams and updating project plans.
- Proactively monitors project execution to effectively identify risks, issues, dependencies as they arise throughout the project life cycle.
- Take ownership of highlighted risk, scope creep or concerns on projects and ensure effective, timely resolution.
- Complete appropriate project initiation, planning, close-out documentation.
Qualifications:
- Bachelor's degree in a relevant field such as Information Technology, Data Analytics or any relevant field.
- 2-3 years of demonstrated experience in project management roles.
- Experience in delivering data analytics solutions.
- Experience in leading Agile project implementations.
Skills & Competencies:
- Understanding of data lifecycle methodology for data related projects.
- Good team player with excellent engagement and collaboration skills.
- Ability to review and assimilate information across multiple projects.
- PMP Certification or other equivalent certifications would be a plus.