MBZUAI
Mohamed Bin Zayed University of Artificial Intelligence

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Project Manager

As a member of the Engineering team, the Project Manager is responsible for the management of complex AI/Machine Learning/Data Science related application projects in collaboration between MBZUAI and enterprise/government organizations. Will support the Engineering team in developing and managing project plans, ensuring scope and objectives are thoroughly documented, dependencies are identified and managed, project risks and issues are mitigated, implementation activities are managed and timely project status is communicated to executives and stakeholders. The Project Manager is responsible for managing associated project resources with the goal of delivering the initiatives on time (within budget), adhering to high quality standards and meeting customer expectations. The Project Manager is responsible for driving strategic initiatives that may involve senior management or other project owners.

Responsibilities

  • Proactively interface customers or across departments to manage all facets of project delivery including defining project scope & objectives, requirements, benefits, impacts to business and technology processes, methodologies, implementation plans, stakeholder relationships, project deliverables, risk assessment and business results
  • Create detailed project plans to monitor and track progress
  • Continually monitor project performance and guide project activities to ensure that projects are delivered on time, within scope and within budget
  • Support project leads in calendaring and leading meetings producing timely meeting summaries of key takeaways, decisions and action items
  • Create and maintain comprehensive project documentation including scope, schedule, risks, actions, issues and decisions log
  • Establish processes to efficiently collect and communicate progress and outcomes with engineering team and stakeholders
  • Perform risk management to minimize project risks, reporting critical issues that may jeopardize timelines or success to management as needed
  • Manage changes to the project scope, project schedule, and project costs using appropriate verification techniques
  • Participate as a valuable team member to help build and maintain AI/Machine Learning/data science strategies and solutions
  • Ensure solutions are feasible to implement and achieve the business’ objectives
  • Demonstrate behaviors which are aligned with the organization’s desired culture and values
  • Perform other related duties as required and assigned by manager

Minimum Qualifications

  • Minimum of a Bachelor’s Degree in Computer Science, Engineering, or Scientific discipline
  • Minimum of 3 years of post-educational professional experience in the direct management of complex, cross-functional software development projects with successful delivery
  • Experience with Agile Scrum methodologies
  • Experience driving and delivering projects which involve integration with multiple different teams
  • Ability to create and execute plans while constructively dealing and reducing ambiguity
  • Ability to communicate aspects of the project and filter messaging based on the target audience
  • Unafraid to ask hard questions
  • A deeply curious mindset about new ideas

Preferred Qualifications

  • Master’s degree in Computer Science, Engineering, or Scientific discipline
  • 5+ years of post-educational professional experience in the direct management of complex, cross-functional AI/ML development projects with successful delivery
  • Thorough understanding of project/program management techniques and methods
  • Strong collaborative, communication, and influencing skills to obtain buy-in and drive change across multiple functions
  • Working knowledge of program/project management software
  • Proven track record at delivering timely results in a fast paced environment
  • Strong attention to detail, strong organizational skills, and ability to work independently
  • Able to maximize efficiency in a constantly evolving environment with a fluid process
  • Self-starter with excellent communication and presentation skills
  • Strong business acumen and ability to interface effectively with management team
  • Proven people management skills
  • Desired Skills:
    • Knowledge of AI/Machine Learning/Data Engineering/Data Analytics
    • Experience onboarding new vendors working with Vendor Management, Compliance, Legal, and Contracts teams
    • Proven experience with software and data solution development lifecycle

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