- Singapore
Kerja Sepenuh Masa Senior Data Manager, Gaji tinggi SGD 12,000 di Quantum Infotech Solutions - Maukerja
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
1. Planning & Scoping:
Define project objectives, deliverables, and success criteria in collaboration 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.
2. Stakeholder Management:
Act as the primary liaison between business teams, data engineers, analysts, data scientists, and leadership.
Gather and 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.
3. Team Coordination:
Assign tasks across data engineers, analysts, DBAs, QA testers, and data scientists.
Facilitate stand-ups, sprint planning, and retrospectives (often Agile/Scrum or Kanban).
Resolve cross-functional dependencies (e.g., IT infrastructure, security, and compliance teams).
4. Data Governance & Quality Oversight:
Ensure data quality standards, validation rules, and cleansing processes are followed.
Coordinate with governance and compliance teams on privacy, security, and regulatory requirements.
Track data lineage and documentation requirements.
5. Risk & Issue Management:
Identify risks specific to data projects, including data quality issues, schema changes, integration failures, and scalability concerns.
Maintain a risk register and mitigation plans.
Escalate blockers (e.g., missing access, vendor delays, and infrastructure limitations).
6. P&L, Budget Tracking &Resource Management:
Track costs.
Manage vendor and contractor relationships if external data tools or consultants are used.
7. Quality Assurance & Testing Oversight:
Ensure testing plans cover data validation, transformation logic, and end-to-end pipeline testing.
Coordinate UAT (User Acceptance Testing) with business stakeholders.
8. Documentation & Reporting
Maintain project documentation, including requirements, data dictionaries, architecture diagrams, and status reports.
Ensure knowledge transfer and handover documentation for ongoing maintenance.
9. Deployment & Change Management
Oversee rollout and migration plans, including rollback strategies.
Manage change requests and their impact on scope and timelines.
Support user training and adoption post-launch.
10. Post-Project Evaluation
Conduct post-mortems and retrospectives to capture lessons learned.
Measure project outcomes against KPIs (data accuracy, system performance, and business impact).
Required Skills
Technical fluency in Cloud architectures (GCP/AWS), PySpark/Scala data pipelines, metadata management, data warehousing, and scheduling platforms.
Ability to communicate effectively between technical and business teams and make informed trade-off decisions
At Quantum Infotech, we provide technology-empowered business solutions for our clients with demanding technical needs and challenges. Our key objective is to build trust with clients for life: long-term enterprise relationships that deliver impacting and lasting business value.
Our highly-skilled consultants, and global delivery capabilities ensure the scalability and access to align your technology solutions with your growing business needs.
At Quantum Infotech, we represent several highly motivated and qualified IT talents available for permanent, contract or temporary placement services over the full scope of projects with a wide range of technological needs.
We assure to be an entrusted service to your company needs to source highly skilled IT professionals. We have the capabilities and scale to source the right skilled IT consultants for your projects needs in a short span of time and at economical costs.
Quantum Infotech also has in place the infrastructure and resources to organize professional and corporate training programs as per client requirements.
Define project objectives, deliverables, and success criteria in collaboration 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.
2. Stakeholder Management:
Act as the primary liaison between business teams, data engineers, analysts, data scientists, and leadership.
Gather and 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.
3. Team Coordination:
Assign tasks across data engineers, analysts, DBAs, QA testers, and data scientists.
Facilitate stand-ups, sprint planning, and retrospectives (often Agile/Scrum or Kanban).
Resolve cross-functional dependencies (e.g., IT infrastructure, security, and compliance teams).
4. Data Governance & Quality Oversight:
Ensure data quality standards, validation rules, and cleansing processes are followed.
Coordinate with governance and compliance teams on privacy, security, and regulatory requirements.
Track data lineage and documentation requirements.
5. Risk & Issue Management:
Identify risks specific to data projects, including data quality issues, schema changes, integration failures, and scalability concerns.
Maintain a risk register and mitigation plans.
Escalate blockers (e.g., missing access, vendor delays, and infrastructure limitations).
6. P&L, Budget Tracking &Resource Management:
Track costs.
Manage vendor and contractor relationships if external data tools or consultants are used.
7. Quality Assurance & Testing Oversight:
Ensure testing plans cover data validation, transformation logic, and end-to-end pipeline testing.
Coordinate UAT (User Acceptance Testing) with business stakeholders.
8. Documentation & Reporting
Maintain project documentation, including requirements, data dictionaries, architecture diagrams, and status reports.
Ensure knowledge transfer and handover documentation for ongoing maintenance.
9. Deployment & Change Management
Oversee rollout and migration plans, including rollback strategies.
Manage change requests and their impact on scope and timelines.
Support user training and adoption post-launch.
10. Post-Project Evaluation
Conduct post-mortems and retrospectives to capture lessons learned.
Measure project outcomes against KPIs (data accuracy, system performance, and business impact).
Required Skills
Technical fluency in Cloud architectures (GCP/AWS), PySpark/Scala data pipelines, metadata management, data warehousing, and scheduling platforms.
Ability to communicate effectively between technical and business teams and make informed trade-off decisions
At Quantum Infotech, we provide technology-empowered business solutions for our clients with demanding technical needs and challenges. Our key objective is to build trust with clients for life: long-term enterprise relationships that deliver impacting and lasting business value.
Our highly-skilled consultants, and global delivery capabilities ensure the scalability and access to align your technology solutions with your growing business needs.
At Quantum Infotech, we represent several highly motivated and qualified IT talents available for permanent, contract or temporary placement services over the full scope of projects with a wide range of technological needs.
We assure to be an entrusted service to your company needs to source highly skilled IT professionals. We have the capabilities and scale to source the right skilled IT consultants for your projects needs in a short span of time and at economical costs.
Quantum Infotech also has in place the infrastructure and resources to organize professional and corporate training programs as per client requirements.
Peringatan Penting
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