Transformation Data & AI Architect
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Key skills for this role
Role Overview
The Transformation Data & AI Architect is a senior leadership role within Weir’s global SAP S/4HANA transformation programme.
The role defines, governs, and delivers end-to-end Data & AI architecture across enterprise value streams and partner workstreams.
The role works across SAP, Salesforce, Workday, Coupa, internal domain teams, enterprise architecture, systems integrators, and technology partners.
Key Skills for This Role
Full Job Posting
Role Overview
The Transformation Data & AI Architect is a senior leadership role within Weir’s global SAP S/4HANA transformation programme.
The role defines, governs, and delivers end-to-end Data & AI architecture across enterprise value streams and partner workstreams.
The role works across SAP, Salesforce, Workday, Coupa, internal domain teams, enterprise architecture, systems integrators, and technology partners.
Key Responsibilities
- Own target Data & AI architecture across SAP BTP, Datasphere, Data Intelligence, MDG, SLT, BW/4HANA where relevant, and non-SAP platforms.
- Establish data and AI principles aligned with enterprise governance and Clean Core standards.
- Lead data migration architecture, including profiling, cleansing, harmonisation, enrichment, cutover, and reconciliation.
- Define integration patterns between S/4HANA and ecosystem applications using APIs, events, SLT/CDC, and iPaaS/BTP.
- Prioritise AI use cases including forecasting, ATP optimisation, document AI, and anomaly detection.
- Define ML data contracts and establish MLOps foundations for pipelines, CI/CD, monitoring, retraining, and drift.
- Chair the Data & AI Design Authority and govern standards, roadmaps, risks, dependencies, and technical debt.
Knowledge, Education and Qualifications
- Proven experience as a Data Architect on complex SAP S/4HANA transformation programmes.
- Deep knowledge of SAP master and transactional data structures and S/4HANA 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 orchestrating multiple systems integrator and vendor partners.
- Exposure to SAP MDG, BTP, Datasphere, and Data Intelligence.
- Understanding of enterprise AI capabilities across SAP, Salesforce, and Workday.
- Strong leadership, communication, and stakeholder management skills.
About Weir
Weir is a global engineering business focused on making mining operations smarter, more efficient, and more sustainable.
The company operates globally and states that it has approximately 11,000 employees across more than 60 countries.
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