Data Manager (f/m/d)

at  HENSOLDT

Company
HENSOLDT Optronics GmbH
Full time / Part time:
The position can be filled in full or part time.
Summary
The Ground Based Systems division is a rapidly growing business area of HENSOLDT Optronics GmbH, which supplies vision systems for military land vehicles. Due to the rapidly increasing number of projects and thus also delivery positions, a Data Manager (f/m/d) is required to ensure the synchronization of the data stocks within the S&OP and FCO processes.

Your Tasks

• Develop and implement a comprehensive data quality strategy that aligns with business objectives
• Establishing and enforcing data quality policies, standards, procedures and processes as well as their documentation
• Definition, implementation and regular monitoring and reporting (dashboards) of key performance indicators (KPIs) for data quality
• Leading data cleansing, validation and enrichment activities and moderating data quality working groups and committees
• Working with data owners, data owners and IT to resolve data quality issues
• Provide training and support to employees on data quality best practices
• Identify data quality risks and develop mitigation strategies

Your Profile

• Bachelor’s degree in computer science, information management, data science or a related field
• Several years of experience in data management, data quality or a similar role with proven success in leading data quality initiatives / projects
• Very good tool knowledge (incl. programming routines) XLS, Power-BI, SAP R3 / S4 Hana as well as common data quality tools and technologies
• Detail-oriented with a focus on accuracy and completeness
• Extensive experience in leading cross-divisional data quality projects from initiation to completion
• Analytical, structured and pro-active as well as result/goal-oriented way of thinking and working
• High level of resilience and flexibility to adapt to changing priorities and business requirements
• Excellent communication skills in German and English to effectively convey data quality concepts to technical and non-technical stakeholders
• Commitment to continuous learning and professional development
• Team player and enjoy working in teams.
• Fluent in English and German

Happy to hear

• Work on extraordinary high-tech products at the limits of physics
• Fair, performance-related remuneration, plus special payments
• Flexible working time and workplace models
• Company pension scheme
• Individual development and training opportunities
• Family-friendly working conditions and meal & snack options
• Health promotion and mobility offers

Discover more about our benefits "

• Develop and implement a comprehensive data quality strategy that aligns with business objectives
• Establishing and enforcing data quality policies, standards, procedures and processes as well as their documentation
• Definition, implementation and regular monitoring and reporting (dashboards) of key performance indicators (KPIs) for data quality
• Leading data cleansing, validation and enrichment activities and moderating data quality working groups and committees
• Working with data owners, data owners and IT to resolve data quality issues
• Provide training and support to employees on data quality best practices
• Identify data quality risks and develop mitigation strategie