Purchasing Data Model Manager

China
Permanent
Full-time

17 days ago

Company DescriptionContinental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent, and affordable solutions for vehicles, machines, traffic and transportation. In 2023, Continental generated sales of €41.4 billion and currently employs around 200,000 people in 56 countries and markets.Guided by the vision of being the customer's first choice for material-driven solutions, the ContiTech group sector focuses on development competence and material expertise for products and systems made of rubber, plastics, metal, and fabrics. These can also be equipped with electronic components in order to optimize them functionally for individual services. ContiTech's industrial growth areas are primarily in the areas of energy, agriculture, construction, and surfaces. In addition, ContiTech serves the automotive and transportation industries as well as rail transport.Job DescriptionThe Purchasing Data Model Manager is responsible for overseeing and steering the overall global purchasing data landscape, data architecture, and data governance within the Processes, Systems, and Governance department. This role assumes global ownership for the GSCF Purchasing data management processes, compliance, and governance within the purchasing data layer, enabling data to be treated as an asset and leveraged strategically. This role also owns the Logical GSCF Purchasing Data Model, ensuring that all data-related activities support strategic decision-making, are in synch with the purchasing digitalization and compliant on a global scale.We are looking for a data enthusiastic colleague to join our SMART Purchasing and Digitalization team. If you are passionate about interfaces between business processes and data technologies, you might be just the right fit. Your responsibilities will include:

Data Landscape Ownership: own the overall purchasing data landscape, ensuring data is accurately integrated and maintained across systems.
Data Architecture: Develop and steer the global data architecture to leverage efficient data management and intelligence.
Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure data quality and compliance.
Single Point of Data Truth: Ensure the realization of a single point of data truth within the purchasing organization.
Digitalization Projects: Integrate major purchasing digitalization projects and the complex SAP R/3 and SAP S/4HANA-based purchasing digital infrastructure into the purchasing data model.
Data Integration: Integrate further data sources, both internal and external, into the purchasing data model and implement processes for this integration.
Logical Data Model Ownership: Own the Logical GF Purchasing Data Model, ensuring its accuracy and alignment with business needs.
Data Quality Assurance: Conduct regular audits of data to identify and resolve discrepancies, ensuring high data quality standards.
Training and Support: Provide training and support to internal users on data management best practices and system usage.
Data Literacy: Ensure that the purchasing organization increases its data literacy capacity.

Qualifications

Education: Bachelor's degree in Data Science, Information Technology, Business, or a related field.
Experience: Minimum of 7-9 years of experience in data management, data governance, or a related role.
Technical Skills: Proficiency in data management systems, databases, and data governance tools. Strong PBI and similar tool skills are a plus.
Communication Skills: Excellent verbal and written communication skills. Ability to work effectively with internal stakeholders, also on management level
Strong attention to detail and organizational skills.
Problem-Solving: Ability to identify and resolve issues related to data management and governance.
Entrepreneurship and Visionary Thinking: Demonstrate ability to think strategically and innovatively, driving data initiatives that align with the organization's long-term goals.
Experience with specific data management and governance systems (e.g., SAP SAC, AWS, Azure or similar).
Knowledge of industry-specific data management practices and standards.

Additional Information

The multi-cultural and international environment of a global player
Chance to solve problems, shape innovations and contribute to a change
Attractive working conditions and benefits

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