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Mobileye Data Manager 
Israel, Jerusalem District, Jerusalem 
575200196

02.07.2024
What will your job look like:
  • Apply your expertise in quantitative analysis and data mining to define data collection requirements based on safety regulations and R&D needs.
  • Manage and track data projects, setting requirements for involved teams, leading project meetings and calls, managing stakeholders, tracking budgets, and ensuring timely project delivery.
  • Coordinate internal resources for flawless execution of data collection projects.
  • Ensure data quality throughout the process by managing cross-team collaborations.
  • Lead end-to-end technical processes and communicate requirements with customers and third parties to streamline efficient performance analysis.
  • Promote and manage internal data engineering and automation projects.
  • Investigate technical data issues deeply, solve problems, or escalate to upper management or experts when necessary.
  • Work closely with data collection teams, defining needs and coordinating efforts to meet data requirements.
  • Collaborate with various groups within the department to support data-related activities, such as defining new schemas and managing data processes.
  • Track project status, ensuring pace and adherence to schedules, and provide regular updates.
  • Utilize JIRA for managing data-related tasks, creating dashboards, and informative displays to improve processes.
  • Simplify complex data processes, making knowledge accessible and managing data status and gaps, presenting a clear high-level overview.
  • Build and maintain reports, dashboards, and metrics to monitor data processing.
What you need to succeed:
  • Bachelor's degree in computer science, Data Science, Industrial Engineering, or a related quantitative field.
  • 5+ years of experience in project management, demonstrating leadership, strategic planning, and effective execution of complex projects within a technology company.
  • Proven experience in leading and completing projects with minimal supervision.
  • Experience with large data sets and distributed computing.
  • Strong ability to communicate and present complex analysis results to senior leadership.
  • Excellent interpersonal skills, as the role involves significant interaction with people.
  • Fluent in English (verbal and written).
  • Strong problem-solving skills, patience, and flexibility.
  • Ability to understand and simplify complex problems, ensuring sufficient understanding of different systems to drive activities and communicate effectively.
  • Thoroughness, attention to detail, and strong organizational skills.
Advantages:
  • Experience in data management, quantitative analysis, or a related role.
  • Experience working in a Linux environment.
  • Familiarity with ADAS regulations.
  • Technical background.