Project Manager – Data, Analytics & Cloud - #1100378

Location: Singapore

Job Type: Perm/FTC (Principal/SC)

About the Role:

We are seeking an experienced Project Manager to lead and deliver complex projects in the areas of data, analytics, and cloud technologies. The ideal candidate will have a strong background in project management, a deep understanding of data pipelines and analytics frameworks, and hands-on experience managing cloud-based solutions (e.g., ETL, AWS, Azure, GCP).

Key Responsibilities:

• Lead the planning and execution of data and analytics projects from initiation through delivery.

• Manage scope, timeline, budget, and resource allocation across multiple workstreams.

• Collaborate with data engineers, analysts, cloud architects, and business stakeholders to ensure alignment and delivery.

• Develop detailed project plans, define milestones, track progress, and manage risks.

• Facilitate daily standups, sprint planning, and retrospectives using Agile methodologies.

• Ensure data governance, compliance, and security standards are maintained throughout projects.

• Drive cloud migration and modernization initiatives for data platforms and reporting systems.

• Provide regular updates and reports to leadership on project status and key performance indicators.

Qualifications:

• 5+ years of experience in project management, preferably in data, analytics, or cloud domains.

• Proven experience delivering complex data projects involving cloud platforms (AWS, Azure, or GCP).

• Solid understanding of data architecture, data warehousing, and analytics solutions.

• Strong familiarity with Agile/Scrum and project management tools (JIRA, Confluence, sharepoint, MS Project, etc.).

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

• Excellent communication, leadership, and stakeholder management skills.

• Bachelor’s degree in computer science, Information Systems, Engineering, or related field.

Preferred Skills:

• Experience with tools such as Snowflake, Databricks, Power BI, Tableau, or similar.

• Understanding of data governance frameworks and regulatory compliance

• Ability to manage both technical and non-technical teams.