Procurement Data Specialist

Siemens España; Mumbai; In loco; INR 1.200.000 - 1.800.000; Tempo pieno

Descrizione del lavoro

Siemens AG is seeking a Procurement Data Specialist to drive data excellence across SCM procurement processes, ensuring data integrity, governance, and strategic use to enable data-driven decisions and digital transformation.

The role combines project management with hands-on analytics in Tableau and Power BI, SQL-based data extraction, and collaboration with SCM, IT, and governance teams to standardize data objects and support sustainable procurement outcomes.

Competenze

• 6–8 years of relevant SCM data management and governance experience.
• Hands-on analytics experience with data modeling and process standardization.

Mansioni

• Project management to meet time, quality, and scope targets.
• Standardize methods and systems to optimize procurement data processes.
• Analyze and model structured/unstructured data to support SCM decisions.
• Ensure data quality, compliance, and governance across data objects.
• Collaborate with cross-functional teams to align data practices with business goals.

Conoscenze

Data governance

Data quality

Data analytics

Stakeholder communication

Strumenti

Tableau

Power BI

SQL

Descrizione del lavoro

SCM-Procurement / Supply Chain Logistics

Mid-level Professional

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.

Dimensions / KPIs

• 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.
• 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.