Senior Data Project Manager – Data, Analytics & Cloud

We are looking for an experienced Senior Data Project Manager to lead complex data, analytics, cloud, data migration and digital transformation programmes. The role involves managing multiple workstreams, cross-functional teams, senior stakeholders and external vendors to ensure successful delivery of strategic technology initiatives.

Key Responsibilities

• Lead end-to-end delivery of complex data, analytics, cloud and digital transformation projects.
• Manage project planning, scope, timelines, budgets, resources, milestones and dependencies.
• Coordinate multiple workstreams involving Data Engineers, Data Architects, Analysts, Data Scientists, Cloud, DevOps, QA, Security and Governance teams.
• Manage senior business and technology stakeholders and provide regular programme updates.
• Lead governance meetings, steering committees and project reviews.
• Identify and manage project risks, issues, assumptions, dependencies and decisions (RAID).
• Manage vendors, contractors and external technology partners.
• Oversee implementation of data platforms, data pipelines, data warehouses, data migrations and analytics solutions.
• Ensure data quality, security, privacy, metadata, lineage and governance requirements are addressed.
• Oversee ETL/ELT, data validation, reconciliation, testing, UAT, deployment and production readiness.
• Manage change requests and assess their impact on scope, cost, timeline, resources and quality.
• Lead release, migration, cutover and transition-to-support activities.
• Prepare executive dashboards, project reports, financial updates and risk summaries.
• Conduct post-project reviews and track business benefits and outcomes.

Required Skills & Experience

• 10+ years of experience in Project or Programme Management.
• Proven experience delivering complex Data, Analytics, Cloud, Data Migration, Integration, Data Platform or Digital Transformation projects.
• Strong experience managing multiple cross-functional teams and technical workstreams.
• Good understanding of Cloud Data Architecture, preferably AWS and/or GCP.
• Working knowledge of PySpark and Scala data pipelines.
• Strong understanding of ETL/ELT, APIs, data integration, data warehousing and data lakes/lakehouses.
• Knowledge of data modelling, scheduling and orchestration platforms.
• Experience in data governance, metadata management, data catalogues, data lineage and data quality.
• Experience with data validation, transformation, reconciliation, testing and UAT.
• Strong experience in budget, resource, vendor and risk management.
• Excellent stakeholder management, communication, negotiation and presentation skills.
• Strong knowledge of Agile/Scrum, Kanban, Waterfall or Hybrid methodologies.
• Experience with tools such as Jira, Confluence, Azure DevOps, MS Project or Smartsheet.

Preferred Qualifications

• PMP / PRINCE2 / PMI-ACP / SAFe / Scrum Master or equivalent certification.
• AWS / GCP / Azure / Databricks / Snowflake or Data Governance certification.
• Experience in regulated industries such as Banking, Financial Services, Insurance, Healthcare, Government or Telecommunications.