{"id":3860855,"url":"https://alion.io/job/siemens-procurement-data-specialist","title":"Procurement Data Specialist","company":{"id":131,"name":"Siemens","domain":"siemens.com","url":"https://alion.io/company/siemens","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":30,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-11-06T09:13:53Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T05:40:01Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Procurement Data Specialist\nMission / Position Headline\n 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. \n More details: https://wiki.siemens.com/x/bpu4Aw \n Dimensions / KPIs\n Data quality metrics \n Data usage adoption and satisfaction \n Experience & Technical Requirements\n 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. \n 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. \n Internal / External Contacts\n SCM Procurement teams (including Category Managers, Buyers, Commodity Management, Commodity Engineering) \n Data Stewards, Data Content Owners, Data Governance teams and Data Domain Management \n IT and Business Intelligence units \n Cross-functional partners (e.g., Finance, Legal, Quality, Compliance, Sustainability) \n Heads of SCM Regional Areas, Department Heads, Business Procurement Heads \n Suppliers and external data providers\n Areas of Responsibility / Key Tasks\nProject Management & Data Analysis\n Project management: Project management (including coordination, controlling and monitoring) to meet the targets of the projects (e.g. required time, quality and content). \n Standardization: Design and implement standardized methods, processes and systems to optimize processes and work results. \n 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. \n Strategic Alignment & Business Understanding\n Enhance business understanding by translating strategic objectives into Procurement-relevant actions also in context of One Tech Company. \n (Strategic) Projects: Responsible for interdisciplinary project work to further develop the function. \n Data Management & Governance\n Define and maintain data structures, metadata models, and creation rules to ensure complete, consistent, and business-aligned Data Objects across Procurement. \n 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. \n Ensure data quality, compliance, and security by enforcing data access rules, legal requirements, classification handling, and technical data governance standards. \n Manage Data Products operationally by maintaining product metadata, executing lifecycle operations (deployment, updates, retirement), and ensuring stable, compliant product operation. \n Govern responsible data consumption by ensuring that users access approved sources, follow sharing agreements, and adhere to required protection 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