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Purchasing Data Model Manager
1.2-2万·13薪
人 · 本科 · 5年及以上工作经验 · 性别不限2025/07/07发布

昆明路518号北美广场

公司信息
康迪泰克投资(中国)有限公司

外资(欧美)/10000人以上

该公司所有职位
职位描述
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.

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