Product Master Data Management (MDM) Consulting Architect
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Job description
We are seeking an experienced AI Architect with strong expertise in the Retail industry to lead the design, development, and implementation of AI-driven solutions across enterprise SDLC. The ideal candidate will possess deep knowledge of AI/ML technologies, cloud platforms, retail business processes, and enterprise architecture., * Current-State Assessment: Profile and assess existing product and item data across PLM, ERP, supply chain and downstream systems. Identify duplication, attribute gaps, inconsistent classification, and the process breakpoints that create them.
- Target-State Architecture and High-Level Design: Define the product master data model - item and part entities, hierarchies, product families, variants and configurations, reference data and classification schemes - and establish clear system-of-record boundaries between PLM, ERP and the MDM platform.
- Manufacturing Domain Design: Address part numbering and item lifecycle, BOM and configuration relationships, engineering change management, attribute governance by product family, and the path from new product introduction to a sellable, orderable and manufacturable item.
- Integration Architecture: Define, at a conceptual and logical level, how product data is sourced, mastered and syndicated across PLM, ERP, planning, quote-to-cash and analytics platforms, and recommend appropriate integration patterns.
- Match, Merge and Survivorship Strategy: Define the matching, trust and survivorship approach for item data, recognizing that product domain matching differs materially from customer or party domain matching.
- Data Quality and Governance Framework: Define data quality dimensions, rules, measures and exception handling. Define stewardship roles, data ownership and the operating cadence between engineering, supply chain, product and IT.
- Roadmap and Phasing: Sequence the programme into releases with clear business outcomes, dependencies, prerequisites and indicative effort.
- Stakeholder Facilitation: Run design workshops across engineering, supply chain, product management, quality and IT, and build consensus on contested design decisions.
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Advisory Deliverables: Produce high-level design documents, architecture and data flow diagrams, the logical data model, the governance operating model, and the implementation roadmap.
- Design Assurance: Provide architectural oversight and design review to implementation teams during execution.
Requirements
- Bachelor’s degree in computer science, Engineering, Information Technology, or a related field.
- 10+ years in data management, including substantial experience in MDM architecture and solution design.
- Demonstrable delivery experience in the Product / Item Master domain - not solely customer, party or supplier domains.
- Manufacturing industry experience, ideally discrete manufacturing; high-tech, electronics, telecommunications equipment, industrial or similar.
- Strong working knowledge of product data as it is held in PLM and ERP: item masters, bills of material, part numbering schemes, product hierarchies, classification and engineering change.
- Proven consulting experience - current-state assessment, target-state design, roadmap definition, workshop facilitation and high-level design documentation.
- Excellent communication and facilitation skills, with the credibility to hold a substantive conversation with engineering and supply chain leaders as well as with IT.
- Able to work independently in a client-facing advisory capacity with minimal direction., * Hands-on background with the Reltio platform (Reltio 360), including data modelling, match and merge configuration, survivorship rules, and workflows.
- Experience with Oracle PLM or Agile PLM and Oracle ERP (E-Business Suite or Fusion Cloud SCM), including migration from on-premises to cloud-based PLM.
- Experience defining integration architecture using API-led and iPaaS patterns - Oracle Integration Cloud, MuleSoft or Boomi.
- Familiarity with classification and compliance schemes relevant to manufacturing, such as UNSPSC, ECCN and HTS, RoHS and REACH.
- Exposure to adjacent domains, particularly supplier master and supply chain planning.
- Experience syndicating mastered data into cloud data platforms such as Snowflake.
- Reltio or other recognized MDM certifications.
- Prior experience within a consulting or systems integration environment.
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