Digital Data

vor 3 Wochen

Hamburg, Hamburg, Deutschland tesa Vollzeit


Location:
Germany, Hamburg, Norderstedt - tesa Headquarter

Levels:
Professionals

Functions:
Research & Development

Working Hours: Full time



Your Tasks

Develops and implements data governance, strategy and smart processes to ensure efficient quality of digital data leading to increased efficiency, higher ROIs and reduction of errors. Is the global owner of all TD/PD data (new, real time and synthetic data). Leads data expert team and is accountable for execution of digital data governance, strategy & data-related processes.

  • Teams up with DIT team to evaluate, design and implement data governance, data warehouses, and data lakes to support the TD/PD organization's needs.
  • Collaborates with DIT teams to ensure the security, integrity, and accessibility of digital data assets.
  • Defines and enforces data governance policies and procedures to maintain data quality and compliance with regulatory requirements.
  • Leads initiatives to standardize data formats, naming conventions, and data classification schemes for consistency and interoperability.
  • Identifies opportunities to leverage advanced analytics, machine learning, and artificial intelligence techniques to extract insights from digital data.
  • Designs and creates data pipelines for more efficient and repeatable data science projects.
  • Works closely with cross-functional teams to understand requirements and translate them into data management solutions.
  • Develops and delivers training programs to educate employees on data management best practices and tools.
  • Stays abreast of industry trends and emerging technologies in digital data management to drive continuous improvement and innovation.
  • Provides regular reports and updates to senior management on the performance and impact of digital data initiatives.


Your Profile
  • Education: Master in computer science with minimum 10 years of experience, or equivalent.
  • Language skills: English fluent and German beginner.
  • Experience in digital data management, database administration, and data engineering.
  • Strong understanding of data governance principles, data modeling techniques, and data visualization tools.
  • Process orientation, financial acumen and operational awareness are a must.
  • Excellent analytical skills with the ability to interpret complex challenges & communicate effectively.
  • Digital native with knowledge in languages ​​such as SQL, NoSQL, Python, HTML, cloud-based platforms (eg, AWS, Azure, Google Cloud), databases SAP S/4 HANA, analytic & reporting tools, LLM, Gen AI, Jira and Confluence.
  • Exceptional leadership, communication, and project management skills.


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