Procurement Data Specialist
Mission / Position Headline
- Drive data excellence in Supply Chain Management by ensuring the integrity, quality, and strategic use of data across procurement processes. The SCM Data Specialist acts as a key enabler for data-driven decision-making, supporting digital transformation and compliance with data governance standards.
- More details: https://wiki.siemens.com/x/bpu4Aw
Dimensions / KPIs
- Data quality metrics
- Data usage adoption and satisfaction
Experience & Technical Requirements
- 6 to 8 years of relevant experience in SCM, with hands-on exposure to data management, governance, analytics, and process standardization within procurement or supply chain functions.
- Strong hands-on experience in Tableau and Power BI is mandatory for data analysis, visualization, and business reporting; working knowledge of SQL for data extraction and modelling is good to have.
Internal / External Contacts
- SCM Procurement teams (including Category Managers, Buyers, Commodity Management, Commodity Engineering)
- Data Stewards, Data Content Owners, Data Governance teams and Data Domain Management
- IT and Business Intelligence units
- Cross-functional partners (e.g., Finance, Legal, Quality, Compliance, Sustainability)
- Heads of SCM Regional Areas, Department Heads, Business Procurement Heads
- Suppliers and external data providers
Areas of Responsibility / Key Tasks
Project Management & Data Analysis
- Project management: Project management (including coordination, controlling and monitoring) to meet the targets of the projects (e.g. required time, quality and content).
- Standardization: Design and implement standardized methods, processes and systems to optimize processes and work results.
- Analyses: Prepare, analyze, and model structured and unstructured data using methods such as data mining, machine learning, predictive analytics, and SQL-based data acquisition to support strategic SCM decisions.
Strategic Alignment & Business Understanding
- Enhance business understanding by translating strategic objectives into Procurement-relevant actions also in context of One Tech Company.
- (Strategic) Projects: Responsible for interdisciplinary project work to further develop the function.
Data Management & Governance
- Define and maintain data structures, metadata models, and creation rules to ensure complete, consistent, and business-aligned Data Objects across Procurement.
- Operate end-to-end data lifecycle processes, including content maintenance, quality monitoring, metadata publication (e.g. table and field names, data types), archiving, deletion, and continuous curation.
- Ensure data quality, compliance, and security by enforcing data access rules, legal requirements, classification handling, and technical data governance standards.
- Manage Data Products operationally by maintaining product metadata, executing lifecycle operations (deployment, updates, retirement), and ensuring stable, compliant product operation.
- Govern responsible data consumption by ensuring that users access approved sources, follow sharing agreements, and adhere to required protection measures.
Collaboration & Communication
- Collaborate with cross-functional teams to align data management practices with business objectives and support change management initiatives.
- Provide operational support for data-related inquiries and integrate Data Products into SCM processes.
- Communicate data insights and recommendations effectively to stakeholders at all levels.
- Coordinate with internal and external partners to ensure data governance requirements are met.
