Data Project Manager(Clients IBM, DBS)
7000 - 7300 SGDNEXTERA SOFTWARE SERVICES PTE. LTD.
JD : DATA Project Manager
- Sr PM – 9+ years of experience
Key Responsibilities
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, deployment)
Estimate timelines, budget,and resource needs
Identify data sources,ownership, and access requirements early
2. Stakeholder Management
Act as the primary liaisonbetween business teams, data engineers, analysts, data scientists, andleadership
Gather and translate businessrequirements into technical specifications
Manage expectations around data quality, timelines, and scope changes
Report progress, risks, andblockers to sponsors and steering committees
3. Team Coordination
Assign tasks across dataengineers, analysts, DBAs, QA/testers, and data scientists
Facilitate standups, sprintplanning, and retrospectives (often Agile/Scrum or Kanban)
Resolve cross-functionaldependencies (e.g., IT infrastructure, security, compliance teams)
4. Data Governance &Quality Oversight
Ensure data qualitystandards, validation rules, and cleansing processes are followed
Coordinate withgovernance/compliance teams on privacy, security, and regulatory requirements
Track data lineage anddocumentation requirements
5. Risk & IssueManagement
Identify risks specific todata projects: data quality issues, schema changes, integration failures,scalability concerns
Maintain a risk register andmitigation plans
Escalate blockers (e.g.,missing access, vendor delays, infrastructure limits)
6. P&L - Budgettracking & Resource Management
Track costs
Manage vendor/contractorrelationships if external data tools or consultants are used
7. Quality Assurance &Testing Oversight
Ensure testing plans coverdata validation, transformation logic, and end-to-end pipeline testing
Coordinate UAT (useracceptance testing) with business stakeholders
8. Documentation &Reporting
Maintain projectdocumentation: requirements, data dictionaries, architecture diagrams, statusreports
Ensure knowledge transfer andhandover documentation for ongoing maintenance
9. Deployment & ChangeManagement
Oversee rollout/migration plans, including rollback strategies
Manage change requests and their impact on scope/timeline
Support user training and adoption post-launch
10. Post-ProjectEvaluation
Conductpost-mortems/retrospectives to capture lessons learned
Measure project outcomesagainst KPIs (data accuracy, system performance, business impact)
Required Skills
Have technical fluency to understand Cloud architecture(GCP/AWS), Pyspark/Scala data pipelines, Metadatamanagement, Datawarehousing, Scheduling
To communicate effectivelybetween technical and business teams and to make informed tradeoff decisions.
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