Data & AI Project Manager
Posted yesterday · 35 applicants
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The role in plain words
- 4 years of experience managing Information Technology projects
- Experience managing Data and AI projects, including budgeting, work plans, Gantt charts, and leading end-to-end projects
- Experience in business analysis and leading processes in BI, Analytics, DWH, Data Lake, and ETL
- Experience managing cross-functional development teams, working with vendors, and familiarity with Agile, Scrum, and Waterfall
- Experience working with Data Architecture and AWS and GCP environments
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceWe are hiring a Data & AI Project Manager for a government organization located in central Israel.
Responsibilities:
• Work with technology projects in the Data and AI domains
• Lead end-to-end projects
• Analyze business requirements and promote data-driven solutions
• Work with government ministries and stakeholders
• Manage vendors and cross-functional teams, support digital transformation processes, and lead Data and AI infrastructure, products, and solutions in cloud environments
Requirements:
• 4 years of experience managing Information Technology projects
• Experience managing Data and AI projects, including budgeting, building work plans, managing Gantt charts, and leading end-to-end projects
• Experience in business analysis and leading processes in BI, Analytics, DWH, Data Lake, and ETL
• Experience managing cross-functional development teams, working with vendors, and familiarity with Agile, Scrum, and Waterfall
• Experience working with Data Architecture and AWS and GCP environments – advantage
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 4 years of experience managing Information Technology projects, Experience managing Data and AI projects, including budgeting, work plans, Gantt charts, and leading end-to-end projects, Experience in business analysis and leading processes in BI, Analytics, DWH, Data Lake, and ETL, Experience managing cross-functional development teams, working with vendors, and familiarity with Agile, Scrum, and Waterfall