Responsibilities:
- Oversee the full implementation lifecycle of data analytics projects, including day-to-day operational support and handling change requests for customer solutions.
- Lead and manage the project team, fostering collaboration and supporting professional development.
- Ensure smooth communication and collaboration among all project stakeholders.
- Develop and execute detailed project work plans, monitor progress, and ensure on-time delivery.
- Provide regular updates on project progress, risks, and mitigation strategies.
- Define project scope, implement change control processes, and negotiate change requests with customers regarding effort, schedules, and prioritization based on business needs.
- Review and prepare project documentation to meet customer requirements and adhere to established standards and procedures.
Required Qualifications:
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- 5 – 8 years in IT project management, with at least 3 years leading data-focused projects.
- Proven experience delivering at least 2 data-focused projects such as data lakes, data warehouses, big data, or analytics/AI.
- Hands-on experience managing projects using both Agile/Scrum and traditional methodologies.
- Excellent written and verbal English communication skills, including technical writing for documentation and reporting.
- Strong leadership and stakeholder engagement abilities.
- Ability to manage multiple priorities and meet tight deadlines.
- Self-starter who works well independently and takes ownership of responsibilities.
- Collaborative team player with strong problem-solving and decision-making skills.
- Familiarity with project management tools (e.g., Microsoft Project, DevOps, Jira, or similar).
Preferred Qualifications:
- Professional certification in related fields (Project Management, Agile & Scrum, or Cloud & Technology)
- Good understanding of the data management principles and cloud technology.
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