Data Architect – Procurement Data, AI for Spares (India)

Data Architect – Procurement Data, AI for Spares (India)

09 Oct
|
TuTeck Technologies
|
India

09 Oct

TuTeck Technologies

India

1. Role Summary
We are looking for a senior Data Architect to lead the data cleansing and harmonization workstream for an AI for Spares program within Purchasing.
The role will define the target data architecture and establish a trusted, standardized data foundation across material master, inventory, contracts, catalogs, supplier references, and purchasing history.
The Data Architect will collaborate with Purchasing, Maintenance, Engineering, Warehousing, enterprise data teams, SAP teams, AI teams, and implementation partners to prepare procurement data for semantic search, duplicate detection, equivalent-part matching, inventory reuse, and AI-guided buying.

2. Key Responsibilities
A. Data Architecture & Roadmap
• Define and own the target data architecture for the AI for Spares program, aligned with enterprise architecture and procurement transformation priorities.
• Develop a phased data roadmap covering discovery, pilot, rollout, and continuous improvement, including source onboarding, cleansing, harmonization, integration, governance, and operational support.




• Define canonical data models for materials, spare parts, technical attributes, inventory, contracts, catalogs, supplier references, and historical purchasing data.
• Document data flows, system boundaries, lineage, refresh models, interfaces, dependencies, and non-functional requirements.

B. Data Cleansing, Standardization & Harmonization
• Lead the profiling and remediation of duplicate, obsolete, incomplete, inconsistent, and low-quality material and spare-parts records.
• Define cleansing and standardization rules for descriptions, manufacturer and supplier part numbers, units of measure, technical characteristics, brands, product families, and local codification.
• Design cross-reference and golden-record approaches for identifying identical, similar, interchangeable, and technically equivalent items across plants and ERP systems.
• Establish repeatable data-quality controls, exception handling, app

📌 Data Architect – Procurement Data, AI for Spares (India)
🏢 TuTeck Technologies
📍 India

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