Project manager – data & ai -qatar onsite

Full Description

Project Manager – Data & AILocation: Qatar Onsite Experience: 5+ Yrs Language Requirement: Bilingual, good command of both Arabic and English language is required. Role Description: We are seeking a skilled data and analytics senior project manager. As a senior project manager, you play a critical role in leading the project planning and delivery of Data Analytics, AI/ML based solutions and clientengagements. You will work with project owners and stakeholders to understand their needs and expectations as well as with the team to scope and manage projects, mitigate risk, apply governance best practices, manage key stakeholders, execute communication plans, and ensure the successful delivery of projects with a focus on offering excellence in customer experience. In this role, you will deliver data projects and products on time, within budget, while meeting client’s expectations. You will plan, assign, manage and coordinate activities pertaining to data technology multi-year projects, on an enterprise level with multiple releases and work streams. You will verify project goals are accomplished and in line with business objectives. Responsibilities: Accountable for the planning and successful delivery of analytics, business intelligence, data management, and Artificial Intelligence projects from initiation, through design, implementation, operationalization, handover, and support. Create, maintain, own and accountable for WBS, project plan, issue and risk logs, and other PM tools. Manage project delivery team consisting of multiple vendors and internal resources, ensuring alignment on development timelines and handoffs between teams. Actively manage delivery process between requirements gathering, data ingestion, data modeling, pipeline development, and data visualization via multiple delivery vendors and teams. Organize and facilitate cross-functional teams (product owners, IT data engineering, IT security, business data analytics, QA, and data science) for projects.

Own and manage the Data Engineering and Visualization product backlog ensuring backlog is up to date, tickets include fulsome descriptions, and tickets are linked where necessary. Prepare and present program level reporting to project stakeholders and executives via bi-weekly Project Review meeting. Provide quality review of client deliverables, secure client delivery acceptance. Work with the client and the team to identify solutions to challenges and roadblocks that come up. Lead lessons learned reviews to evaluate project success and recommend process improvements. Establish effective project communication plans and ensure their successful execution. Manage customer satisfaction, conduct post-project evaluation, and provide feedback to PMO for continuous improvements. Other Responsibilities: Facilitate Agile ceremonies including Sprint Planning, Reviews, Retrospectives, and leading Standups. Administrator and co-administer various Jira boards (Enterprise Engineering, Prototyping, etc). Be the first point of escalation for project risks. Manage the process of escalating risks and communicating to the appropriate parties in a timely manner. Proactively identify and own the process of removing blockers in a timely manner. Qualifications: Bachelor's degree in business administration, computer science, business analytics, or a related field. Excellent customer-facing skills with strong verbal, written, and listening communication skills. Proven experience in conflict resolution, organizational change management, facilitation, and presentation development. Must Have: Certified Project Management Professional (PMP) and/or Scrum Master certification is required. At least 5 years’ experience delivering data, analytics & BI projects, minimum 2 years should be in project management role. Arabic & English speaker Skills: teams, customer, agile methodology, analytics, project, project management, risk management, data, data management, projects, jira, management,

communication, arabic, business intelligence, ai/ml, customer communication, stakeholder management, data analytics

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