Capgemini Hiring! Full Time Data Project Manager in - Ricebowl

Job Description

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