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Engagement / Project Manager (Data projects)

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Location
India
Rackspace

Job Description

PROJECT MANAGER

Overview

We are seeking an experienced Senior Project Manager for managing the Professional Services (PS) projects for Data Services practice. The ideal candidate will have a strong background in project management, particularly within the realm of data projects including deploying Data warehouse and Data Lakes on public cloud (Azure, AWS or GCP), and a proven ability to lead cross-functional teams. As the Senior Project Manager, you will be responsible for managing detailed tasks, monitoring RAG (Red, Amber, Green) status for scope, schedule, budget, and risks/issues, and implementing detailed tracking mechanisms using agile methodologies.

Key Responsibilities:

  • Lead and manage PS engagements for Data Services practice from initiation to completion, ensuring alignment with client objectives and expectations.
  • Develop comprehensive project plans, including scope, schedule, budget, resource allocation, and risk management strategies.
  • Utilize agile methodologies to implement detailed task tracking, manage priorities, and adapt to changing project requirements.
  • Coordinate and collaborate with cross-functional teams, including data engineers, analysts, developers, and stakeholders, to drive project execution and deliverables.
  • Monitor and report RAG status for scope, schedule, budget, and risks/issues, providing timely updates to stakeholders and senior management.
  • Proactively identify project risks and issues, develop mitigation plans, and escalate as necessary to ensure timely resolution.
  • Foster a culture of collaboration, accountability, and continuous improvement within the project team.
  • Establish and maintain strong relationships with clients, serving as the primary point of contact for project-related inquiries and updates.
  • Conduct regular project reviews and retrospectives to assess performance, identify lessons learned, and drive process improvements.
  • Mentor and coach junior project management staff, providing guidance and support to enhance their skills and capabilities.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Business Administration, or related field; PMP certification preferred.
  • Proven experience managing complex data projects within a Professional Services or consulting environment.
  • Strong understanding of agile methodologies, with hands-on experience using agile project management tools and techniques.
  • Excellent leadership and communication skills, with the ability to effectively influence and collaborate with diverse stakeholders.
  • Demonstrated ability to manage multiple priorities and deadlines in a fast-paced, dynamic environment.
  • Solid analytical and problem-solving skills, with a keen attention to detail and accuracy.
  • Experience with data management, analytics, and business intelligence technologies is highly desirable.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and data-related tools (e.g., SQL, Python, Tableau) is a plus.
  • Proven track record of successfully delivering projects on time, within budget, and with high quality.

Advice from our career coach

Having experience as a Senior Project Manager in the Professional Services industry, particularly in data projects, is key to standing out as an applicant for this role. Here are some tips to help you shine:

  • Demonstrate your ability to lead and manage Professional Services engagements for data projects, showing how you align with client objectives and expectations.
  • Showcase your expertise in developing comprehensive project plans, including scope, schedule, budget, and risk management strategies.
  • Highlight your experience with agile methodologies and agile project management tools, proving your ability to manage priorities and adapt to changing project requirements.
  • Emphasize your strong leadership and communication skills, as well as your track record of successfully delivering projects on time, within budget, and with high quality.
  • Describe your experience with data management, analytics, and business intelligence technologies, including cloud platforms and data-related tools such as SQL, Python, and Tableau.

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