Data IT Project/Program Manager

Synectics APAC

Key Responsibilities

  • Data Project Planning & Delivery Management
  • Develop and manage comprehensive data delivery plans covering data discovery, profiling, mapping, cleansing, transformation, migration, and testing.
  • Track project milestones, deliverables, dependencies, and timelines across internal teams and external vendors.
  • Monitor planned versus actual progress and drive corrective actions to address delivery delays.
  • Ensure alignment of data activities with overall programme milestones and deployment schedules.
  • Data Management & Readiness
  • Coordinate data identification, classification, discovery, and profiling activities.
  • Ensure data readiness based on completeness, accuracy, consistency, validity, and accessibility.
  • Identify data gaps, inconsistencies, duplication, and quality issues and coordinate remediation.
  • Maintain data readiness trackers with clear ownership, dependencies, and completion timelines.
  • Agile & Scrum Management
  • Facilitate daily Scrum meetings, sprint planning, backlog refinement, and delivery reviews.
  • Track sprint commitments, work progress, blockers, and dependencies.
  • Drive accountability across delivery teams and ensure timely closure of outstanding actions.
  • Manage and prioritize data-related activities based on business requirements and programme priorities.
  • Stakeholder & Vendor Management
  • Coordinate with business stakeholders, data owners, data engineers, integration teams, and third-party vendors.
  • Manage cross-functional dependencies and ensure smooth coordination between different workstreams.
  • Track vendor deliverables, commitments, risks, and delivery progress.
  • Facilitate discussions and resolve delivery-related issues across multiple teams.
  • Data Quality, Governance & Reporting
  • Monitor data quality, data transformation, migration, and reconciliation activities.
  • Establish and track data health metrics, KPIs, and readiness indicators.
  • Coordinate the development of BI dashboards and management reports.
  • Maintain data governance standards, data ownership, lineage, and audit documentation.
  • Ensure data-related risks, issues, defects, and corrective actions are tracked to closure.
  • Data Migration & Deployment Readiness
  • Coordinate data migration planning, rehearsal, execution, and validation activities.
  • Monitor migration volumes, rejected records, processing failures, and reconciliation results.
  • Track cutover dependencies, data freezes, validation activities, and go-live readiness.
  • Ensure operational handover and post-migration support readiness.

Mandatory Skills & Experience

  • 6+ years of overall experience in IT Project Management / Program Management.
  • Strong experience in Data Transformation, Data Management, and Data Governance.
  • Experience in PMO, Product Management, or programme delivery coordination.
  • Experience managing data-related activities within technology transformation, ERP, PLM, or system implementation programmes.
  • Good understanding of data discovery, profiling, data quality, source-to-target mapping, data migration, transformation, and reconciliation.
  • Experience coordinating multiple vendors, business stakeholders, technical teams, and data owners.
  • Strong knowledge of Agile methodologies, Scrum ceremonies, sprint planning, and backlog management.
  • Experience in project reporting, RAID management, dependency tracking, and stakeholder communication.
  • Strong understanding of data governance, data quality controls, and readiness assessments.

Preferred Technical Skills

  • Power BI or equivalent BI and reporting tools.
  • Advanced MS Excel and data analysis.
  • Jira / Azure DevOps.
  • Project planning and data management tools.
  • Familiarity with ERP, PLM, and enterprise data transformation programmes.

Preferred Domain Experience

  • Manufacturing industry experience is highly preferred.
  • Experience in large-scale enterprise data transformation or migration programmes.
  • Exposure to multi-vendor and cross-functional project environments.

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