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Senior Team Lead Data Management & Reporting (remote, m/f/d)

Posted 2024-08-31

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📍 Location: Anywhere in the world

🔍 Industry: Pharmaceutical logistics

🗣️ Languages: English

🪄 Skills: LeadershipPythonSQLIoTMachine LearningData engineeringSparkCommunication SkillsCollaboration

Requirements:
  • Bachelor's or Master's degree in Computer Science, a related field, or relevant working experience.
  • Proficiency in data engineering tools and technologies (SQL, Python, DAX, Spark, ...).
  • Ability to develop and implement strategic visions for data architecture and AI capabilities.
  • Experience with deployment of AI solutions.
  • Experience with IoT data and telemetry data is a plus.
  • Prior experience leading and managing data management teams.
  • Ability to understand business concepts quickly and communicate with stakeholders across the org.
  • Strong verbal and written communication skills to convey technical concepts and project updates clearly.
Responsibilities:
  • Lead the data management team in the design and implementation of a new data architecture.
  • Build a high-performance team of data/AI engineers, data scientists, and reporting specialists.
  • Develop and communicate a clear vision for the company's data architecture and strategy.
  • Oversee the design, development, and maintenance of scalable data solutions and data pipelines.
  • Lead the development and implementation of AI and machine learning initiatives.
  • Ensure seamless integration of data from various sources into a unified system.
  • Support in the implementation of robust data quality and governance practices.
  • Support leadership in planning, designing, and executing projects.
  • Propose roadmap for technological development of applications (e.g., architecture, AI deployments).
  • Develop and manage comprehensive reporting systems in close collaboration with business stakeholders.
  • Monitor and optimize the performance of data systems and applications.
  • Maintain thorough documentation of data processes, architectures, and methodologies.
  • Provide technical leadership and mentorship to the data management team.
  • Drive innovation in data management practices and tools to improve the team's effectiveness.
  • Promote a culture of continuous improvement and the adoption of new technologies and methodologies.
  • Conduct and lead regular 1-on-1s and team meetings, performance reviews, and annual appraisals.
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  • Lead the data management team in the design and implementation of a new data architecture
  • Build a high-performance team of data/AI engineers, data scientists, and reporting specialists
  • Develop and communicate a clear vision for the company's data architecture and strategy
  • Oversee the design, development, and maintenance of scalable data solutions and data pipelines
  • Lead the development and implementation of AI and machine learning initiatives
  • Ensure seamless integration of data from various sources into a unified system
  • Support in the implementation of robust data quality and governance practices
  • Monitor and optimize the performance of data systems and applications
  • Drive innovation in data management practices and tools
  • Conduct and lead regular 1-on-1s and team meetings, performance reviews, and annual appraisals

LeadershipPythonSQLIoTMachine LearningStrategyData engineeringSparkCommunication SkillsCollaboration

Posted 2024-10-21
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