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Urgent! Project Manager – Data Management & Analytics Job Opening In Cupertino – Now Hiring Capgemini

Project Manager – Data Management & Analytics



Job description

Project Manager – Data Management & Analytics-081554

Description

About the job you’re considering

Title: Project Manager – Data Management & Analytics

Location: Cupertino California (100% onsite)

Key Responsibilities:

  • Lead and manage end-to-end data management projects, from initiation through delivery, ensuring alignment across internal teams and external stakeholders.

  • Oversee the cleaning, normalization, and preparation of large-scale, real-world datasets to support business and analytical needs.

  • Collaborate with cross-functional teams to design, build, and maintain dashboards and reporting tools that drive data-driven decision-making.

  • Develop and maintain comprehensive project documentation including workflows, testing protocols, issue logs, and bug reports.

  • Ensure timely communication of project status, risks, and milestones to stakeholders and leadership.

  • Preferred Skills & Tools:

  • 8+ years of end-to-end Project management experience within Data / Analytics projects.

  • Strong hands-on experience with cleaning, normalization, and preparation of large-scale, real-world datasets to support business and analytical needs.

  • Familiarity with data APIs, Tableau, and other data visualization or integration tools.

  • Nice to have

  • Basic understanding of chemical structures and the ability to interpret and compare molecular data.

  • Exposure to cheminformatics concepts and digital molecular representations; experience with RDKit or similar libraries is a plus.

  • Life at Capgemini

    Capgemini supports all aspects of your well-being throughout the changing stages of your life and career.

    For eligible employees, we offer:

  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief

  • Required Skill Profession

    Computer Occupations



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      Unlock Your Project Manager Potential: Insight & Career Growth Guide


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    • Are You Looking for Project Manager – Data Management & Analytics Job?

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    • The Work Culture

      An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Capgemini adheres to the cultural norms as outlined by Expertini.

      The fundamental ethical values are:
      • 1. Independence
      • 2. Loyalty
      • 3. Impartiality
      • 4. Integrity
      • 5. Accountability
      • 6. Respect for human rights
      • 7. Obeying United States laws and regulations
    • What Is the Average Salary Range for Project Manager – Data Management & Analytics Positions?

      The average salary range for a varies, but the pay scale is rated "Standard" in Cupertino. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    • Interview Tips for Project Manager – Data Management & Analytics Job Success
      Capgemini interview tips for Project Manager – Data Management & Analytics

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      Before the Interview:
      • Research: Learn about the Capgemini's mission, values, products, and the specific job requirements and get further information about
      • Other Openings
      • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
      • Dress Professionally: Choose attire appropriate for the company culture.
      • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
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      Final Thought:

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