Purchasing Data Model Manager

Company Description

Continental 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 2021, Continental generated sales of €33.8 billion and currently employs more than 190,000 people in 58 countries and markets. On October 8, 2021, the company celebrated its 150th anniversary.

The ContiTech group sector develops and manufactures, for example, cross-material, environmentally friendly and intelligent products and systems for the automotive industry, railway engineering, mining, agriculture and other key industries. Guided by the vision of “smart and sustainable solutions beyond rubber,” the group sector draws on its long-standing knowledge of the industry and materials to open up new business opportunities by combining various materials with electronic components and individual services. 

Job Description

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 well-being of our employees is important to us. That's why we offer exciting career prospects and support you in achieving a good work-life balance with additional benefits such as:

• Training opportunities
• Mobile and flexible working models
• Sabbaticals

and much more...

Ready to drive with Continental? Take the first step and fill in the online application.