Location
In office (Mumbai)
Seniority
Senior · 6+ years exp
Visa
Sponsors visas in United States, Canada, Ireland; no register of this country names it
Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on Nov 6, 2026. Siemens scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Siemens is a German technology conglomerate founded in Berlin in 1847 by Werner von Siemens around a telegraph that indicated letters rather than Morse code. After a decade of divestments it now concentrates on industry, infrastructure, transport and healthcare, supplying factory automation and control systems, building and grid technology, trains and signalling, and the Teamcenter and NX design software acquired through a long run of software purchases. The Siemens Xcelerator platform ties hardware to software and digital twins, and the group retains a majority stake in the separately listed medical imaging company Siemens Healthineers.
Backed by Elevate Ventures, Climate Investment, Incubateur Kivo
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.
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