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Data Project Manager

Summary

Leads data-driven transformation projects for clients, coordinating cross-functional teams to deliver analytics, data platforms, and reporting solutions using Agile or hybrid methodologies.

Company Overview

Capgemini is an AI-powered global business and technology transformation partner with 420,000 team members in 50+ countries. We deliver end-to-end services leveraging deep industry expertise and a strong partner ecosystem to drive tangible business value.

Job Summary

Lead and deliver data-driven transformation projects by managing cross-functional teams and stakeholders to achieve business objectives and client expectations in a collaborative environment.

Responsibilities

  • Lead planning, execution, monitoring, and delivery of data-related projects and transformation initiatives to meet business goals
  • Define project scope, objectives, and deliverables in collaboration with business stakeholders, data, technology teams, and project sponsors
  • Manage project timelines, budgets, resources, risks, dependencies, and governance to ensure successful delivery
  • Coordinate cross-functional teams to drive project execution and resolve obstacles
  • Develop and implement stakeholder engagement and communication plans throughout the project lifecycle
  • Monitor project progress and provide regular status updates to stakeholders and leadership
  • Identify, assess, and mitigate project risks and issues to support successful outcomes
  • Ensure project deliverables comply with agreed quality standards and business requirements
  • Support change management, user adoption, and project transition activities as needed
  • Contribute to proposal development, client presentations, pre-sales support, and business development initiatives
  • Promote project management best practices and continuous improvement across delivery engagements

Requirements

  • Experience managing data, analytics, data platform, or digital transformation projects
  • Familiarity with Agile, Scrum, Waterfall, or hybrid delivery methodologies
  • Knowledge of data governance, data quality, reporting, or business intelligence concepts
  • Experience managing geographically dispersed or cross-functional teams
  • Experience working in consulting, professional services, or client-facing environments
  • Exposure to proposal development, pre-sales support, or client pursuit activities
  • Relevant project management certifications (e.g., PMP, PRINCE2, Agile certifications)
  • Strong analytical, problem-solving, and organizational skills
  • Experience delivering data management, data engineering, analytics, reporting, or cloud data platform projects
  • Experience working in fast-paced consulting and project delivery environments

See also