Description

In a digital age where the nearly infinite and extravagant availability of data presents unlimited opportunities, our client is a key enabler in leveraging this resource, as it is among the first Saudi companies dedicated to offering market-leading Data Science and AI products and solutions. Our client empowers aspiring businesses and dynamic governments across industries to become data-driven, allowing them to optimize operations, enhance efficiency, and augment decision-making.

As a Project Manager, you will be responsible for leading the projects from requirements definition through deployment, identifying schedules, scopes, budget estimations, and project implementation plans, including risk mitigation. As well as building and developing the project team to ensure maximum performance.

• Job ResponsibilitiesParticipate in the allocation of budget, staff, and any other resources that are needed to accomplish or achieve set-out projects.
• Manage, direct, support, and control all aspects of data science projects both internally and externally and ensure proper delivery within the identified timeframe, quality standards, cost, and scope of work.
• Create required project documents, including project plans, progress reports, change requests, corrective action documents, and any supporting documents for the organization and its clients.
• Manage project risks, including the development of contingency plans.
• Responsible for following up on instructions and commitments associated with the project.
• Liaise with third parties and communicate with project stakeholders to ensure proper engagement from all parties involved.
• Working with other managers and functions leads to developing budgets, schedules, and plans for a project\'s various elements.
• Negotiate necessary changes to the scope of work, project price, and time with the client, key subcontractors, and project team.
• Assign responsibility for executing project plans to subordinates after careful assessment of how to utilize their qualifications and strengths.
• Leading weekly meetings both with the project team and clients to review project status and create action items.
• Develop and ensure the quality of project management policies, tools, and systems and reinforces organization standards.
• Conduct project evaluation reviews and return on investment analysis to assess and document project outcomes.
• Periodically reporting the performance of the projects with the senior management and ensuring alignment of the company\xe2\x80\x99s key targets with the performance of the Data Science Department.

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