Senior Data Project Lead — Cloud Pipelines

ENCORA TECHNOLOGIES PTE. LTD.

Singapore

On-site

SGD 89,000 - 134,000

Part time

6 days ago
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Job summary

ENCORA TECHNOLOGIES PTE. LTD. seeks a Data Project Manager for a 6‑month engagement in Singapore to define objectives, scope, and success criteria.

You will coordinate data engineers, analysts, DBAs, QA, and data scientists, driving Agile/Scrum or Kanban processes and aligning delivery with business needs. Responsibilities include governance, quality oversight, budget tracking, and stakeholder reporting, with a focus on data pipelines, metadata, and regulatory compliance.

Qualifications

  • Experience leading data projects end‑to‑end in Agile/Scrum or Kanban environments.
  • Strong ability to translate business requirements into technical specifications for data teams.
  • Solid understanding of data governance, quality, and privacy considerations.

Responsibilities

  • Plan objectives, scope, and success criteria with stakeholders.
  • Coordinate cross‑functional teams including data engineers, analysts, DBAs, QA, and data scientists.
  • Lead sprint planning, stand‑ups, and retrospectives to drive delivery.
  • Ensure data quality, lineage, and governance throughout the project lifecycle.
  • Manage risks, issues, and change requests with transparent reporting.
  • Track budgets, vendor relations, and resource utilization for the initiative.
  • Oversee testing plans, UAT, and validation of data pipelines.
  • Maintain comprehensive documentation and status reporting.
  • Coordinate deployment, rollout, and change management activities.
  • Conduct post‑mortems to capture lessons and measure outcomes.

Skills

Cloud architectures
PySpark/Scala pipelines
Metadata management
Data warehousing
Scheduling platforms
Stakeholder communication

Tools

GCP
AWS
SQL

Job description

ENCORA TECHNOLOGIES PTE. LTD. seeks a Data Project Manager for a 6‑month engagement in Singapore to define objectives, scope, and success criteria.

You will coordinate data engineers, analysts, DBAs, QA, and data scientists, driving Agile/Scrum or Kanban processes and aligning delivery with business needs. Responsibilities include governance, quality oversight, budget tracking, and stakeholder reporting, with a focus on data pipelines, metadata, and regulatory compliance.

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