Data Project Manager: Drive Data Pipelines & Governance

INFINITE COMPUTER SOLUTIONS PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

INFINITE COMPUTER SOLUTIONS PTE LTD is seeking a skilled Project Manager to lead data-centric initiatives in Singapore. You will plan and scope projects, define objectives, and collaborate with stakeholders to deliver measurable outcomes.

The role involves coordinating data engineers, analysts, DBAs, and governance teams, managing risks, budgets, and timelines, and ensuring data quality and regulatory compliance throughout the project lifecycle.

Qualifications

• Technical fluency in cloud architectures (GCP/AWS) and data pipelines.
• Ability to communicate effectively between technical and business teams and make informed trade-offs.

Responsibilities

• Define project objectives, deliverables, and success criteria with stakeholders.
• Break down work into phases (requirements, data sourcing, modeling, ETL/ELT, validation, and deployment).
• Estimate timelines, budget, and resource requirements.
• Identify data sources, ownership, and access requirements early.
• Liaise between business teams, data engineers, analysts, data scientists, and leadership.
• Translate business requirements into technical specifications.
• Manage expectations around data quality, timelines, and scope changes.
• Report progress, risks, and blockers to sponsors and steering committees.
• Coordinate cross-functional dependencies (IT, security, and compliance).
• Ensure data quality standards, validation rules, and cleansing processes.
• Track data lineage and documentation.

Skills

Cloud architectures (GCP/AWS)

PySpark/Scala pipelines

Metadata management

Data warehousing

Scheduling platforms

Communication skills

Job description

INFINITE COMPUTER SOLUTIONS PTE LTD is seeking a skilled Project Manager to lead data-centric initiatives in Singapore. You will plan and scope projects, define objectives, and collaborate with stakeholders to deliver measurable outcomes.

The role involves coordinating data engineers, analysts, DBAs, and governance teams, managing risks, budgets, and timelines, and ensuring data quality and regulatory compliance throughout the project lifecycle.