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The Weir Group

Mining technology and engineering solutions provider

Transformation Data & AI Architect

Data ManagementConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Proven experience as a Data Architect on complex SAP S/4HANA transformation programmes.
  • Deep knowledge of SAP master and transactional data structures and S/4 semantics.
  • Strong experience in data migration, data quality, and harmonisation.
  • Experience designing integration architectures across multi-system landscapes.
  • Familiarity with Clean Core principles and upgrade-safe architecture.
  • Experience working with and orchestrating multiple systems integrator and vendor partners.
  • Exposure to SAP Master Data Governance, Business Technology Platform, Datasphere, and Data Intelligence.
  • Understanding of enterprise AI capabilities across SAP, Salesforce, and Workday.
  • Strong leadership, communication, and stakeholder management skills.

Responsibilities

  • Define and own the target Data & AI architecture across SAP Business Technology Platform, Datasphere, Data Intelligence, Master Data Governance, SLT, BW/4HANA where relevant, and non-SAP platforms.
  • Establish data and AI principles aligned with enterprise governance and Clean Core standards.
  • Partner with Manufacturing, Supply Chain, Procurement, and other domains to ensure data supports end-to-end value streams.
  • Lead the architecture runway, publish architecture decision records, and govern adherence across all partners.
  • Lead data migration architecture, including profiling, cleansing, harmonisation, enrichment, cutover, and reconciliation.
  • Ensure at least 98% critical master and transactional data accuracy at go-live.
  • Define integration patterns between S/4 and ecosystem applications, including APIs, events, SLT/CDC, and iPaaS/BTP.
  • Prioritise AI use cases, including forecasting, available-to-promise optimisation, document AI, and anomaly detection.
  • Define machine-learning data contracts and embed models in operational processes such as Fiori and SAC.
  • Establish MLOps foundations, including pipelines, continuous integration and continuous delivery, monitoring, retraining, and drift management.
  • Chair the Data & AI Design Authority, driving alignment across internal teams and multiple systems integrator and vendor partners.
  • Govern architectural artefacts, design standards, roadmaps, and patterns.
  • Identify and manage architectural risks, dependencies, and technical debt.

About the Company

The Weir Group

Mining technology and engineering solutions provider

The Weir Group provides mining engineering equipment and services to help mines operate more sustainably and efficiently. Its products include pumps, circulating systems, and classification and separation equipment designed for large industrial sites. The company differentiates itself with a long industrial history, a focused shift to mining technology, and strategic acquisitions such as ESCO, along with selling its Oil & Gas unit. Its goal is to be a leading supplier that makes mining safer, more productive, and more sustainable through reliable equipment and services.

Company size
51-200
Company stage
IPO
Headquarters
Kuala Lumpur, Malaysia
Founded
1926

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