Technical Project Manager

• Lead and manage end-to-end project lifecycles, ensuring successful delivery of data engineering projects and BI tools initiatives.
  
• Collaborate with data engineers, data analysts, and business stakeholders to define project scope, requirements, and goals.
  
• Develop detailed project plans, timelines, and schedules, and ensure resources are allocated effectively.
  
• Track and report on project progress, addressing risks, issues, and delays promptly.
  
• Serve as the primary point of contact for business stakeholders, ensuring their needs and expectations are met while managing project priorities.
  
• Facilitate communication between technical teams and non-technical stakeholders, ensuring that all parties are informed of project status and milestones.
  
• Work closely with data engineering teams to ensure the successful design, development, and deployment of data pipelines, ETL processes, and integration of data systems.
  
• Help evaluate and select BI tools (e.g., Power BI, Tableau, Looker) and ensure their alignment with the organizations needs.
  
• Oversee the implementation of BI reporting solutions, dashboards, and analytics tools to deliver actionable insights to business users.
  
• Proactively identify project risks and issues and develop mitigation strategies.
  
• Lead problem-solving efforts to overcome roadblocks and ensure timely project delivery.
  
• Continuously evaluate and refine project management processes and methodologies to improve efficiency and effectiveness in data-driven projects.
  
• Stay up to date with industry trends and best practices in data engineering and BI tools to ensure the team uses cutting-edge technologies and techniques.

Requirements

Qualifications:

• Bachelor\u2019s degree in computer science, Information Technology, Engineering, or a related field.
  
• Proven experience as a Technical Project Manager in a data engineering or BI-focused environment.
  
• Strong understanding of data engineering concepts, ETL processes, and database technologies (e.g., SQL, NoSQL, data lakes, cloud platforms).
  
• Familiarity with business intelligence tools (e.g., Power BI, Tableau, Looker, Qlik) and data visualization best practices.
  
• Experience with Agile or Scrum methodologies and tools (Jira, Confluence, etc.).
  
• Excellent leadership, communication, and interpersonal skills to work with both technical and non-technical teams.
  
• Strong organizational and problem-solving skills with the ability to manage multiple projects simultaneously.
  
• Knowledge of cloud platforms like AWS, Azure, or Google Cloud is a plus.
  
  
  
  Benefits

  Company Standard benefits
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