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Entity: Technology
Job Family Group: IT&S Group
Job Description: As a member of the Mobility & Convenience, Fleet & Pulse Technology leadership team, you will collaborate with strategic technology leaders and senior leaders across both the Mobility and Convenience Technology organization and the regional businesses to ensure the businesses are supported with safe & compliant operations & underpin key commercial strategies. You will work with a diverse group of professionals, including data scientists, data architects, and data analysts and collaborate with regional data and compute teams to manage data pipelines and visualization. In addition, you will work closely with the SAP Transformation Team, Quantum, to ensure base data models are addressed. You will also offer expertise to all data teams within the M&C organization to ensure the correct deployment of data tools, frameworks, and skills across the organization. This role will also closely collaborate with the Head of Department (HOD) to advance the application of AI and data.
The Principal Data Manager will bridge the gap between data engineering and analysis, ensuring that data structures are optimized for both storage and analysis, maintaining robust, scalable, and efficient data models that serve as the foundation for all data-related activities within an organization. They work closely with data engineers to develop and maintain databases or data warehouses, ensuring data integrity and consistency. The role involves collaborating with data analysts and data scientists to understand their requirements and translate them into efficient data models. Additionally, a data manager conducts data quality assessments, complies with data governance policies, and optimizes data workflows to enhance overall data accessibility and usability.
As part of a cross-disciplinary team, working closely with business partners, other data managers, product managers, data engineers, data analysts and software engineers. You will lead the setting of data standards, lead the design of data schemas, ensure quality at the source and write code to (semi-)automate manual data processes wherever possible.
Remote Type: This position is a hybrid of office/remote working
Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms, Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving
12-15 years
Experience
Full-time
Employment
Hybrid
Work Format
Director
Grade
C1 - Advanced
English Level
Data Engineering
Specialization
Other
Industry
Corporation
Company Type
By company and city
C1 - Advanced
English Level
Data Engineering
Specialization
Other
Industry
Corporation
Company Type