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Data Project Manager

ExperiencedNo visa sponsorship
Capgemini logo

at Capgemini

Consultancies

Posted 7 days ago

No clicks

**Data Project Manager:** Lead cross-functional teams and stakeholders to deliver data-driven transformation projects, ensuring strategic goals and client expectations. Key responsibilities include project planning, execution, risk mitigation, team coordination, stakeholder communication, and quality assurance. Required skills encompass data governance, data-quality, project management methodologies (Agile, Scrum, Waterfall), and relevant certifications (PMP, PRINCE2, Agile). Proven experience in data, analytics, digital transformation, and consulting environments.

Compensation
Not specified

Currency: Not specified

City
Singapore
Country
Singapore

Full Job Description

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

Data Project Manager

Compensation

Not specified

City: Singapore

Country: Singapore

Capgemini logo
Consultancies

7 days ago

No clicks

at Capgemini

ExperiencedNo visa sponsorship

**Data Project Manager:** Lead cross-functional teams and stakeholders to deliver data-driven transformation projects, ensuring strategic goals and client expectations. Key responsibilities include project planning, execution, risk mitigation, team coordination, stakeholder communication, and quality assurance. Required skills encompass data governance, data-quality, project management methodologies (Agile, Scrum, Waterfall), and relevant certifications (PMP, PRINCE2, Agile). Proven experience in data, analytics, digital transformation, and consulting environments.

Full Job Description

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