Data Project Manager(Clients IBM, DBS)

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

1. 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

1. 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)

1. 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

1. 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)

1. P&L - Budgettracking & Resource Management

• Track costs
• Manage vendor/contractorrelationships if external data tools or consultants are used

1. Quality Assurance &Testing Oversight

• Ensure testing plans coverdata validation, transformation logic, and end-to-end pipeline testing
• Coordinate UAT (useracceptance testing) with business stakeholders

1. Documentation &Reporting

• Maintain projectdocumentation: requirements, data dictionaries, architecture diagrams, statusreports
• Ensure knowledge transfer andhandover documentation for ongoing maintenance

1. 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

1. 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.