Transformation Data & AI Architect

Overview

As Transformation Data & AI Architect you define and govern the end‑to‑end Data & AI architecture for Weir’s S4+ transformation, aligning data models, governance, and AI capabilities with enterprise value streams. You’ll collaborate across SI partners, internal teams and enterprise architecture to ensure consistent, high‑quality delivery. You’ll lead data migration, integration patterns and ML foundations to enable a clean core across SAP and non‑SAP platforms. This role sits at the intersection of business value and technology scale, shaping the enterprise data landscape for a decade of growth.

Responsibilities

• Define and own the 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 to 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 ADRs and govern adherence across all partners
• Lead the data migration architecture including profiling, cleansing, harmonisation, enrichment, cutover and reconciliation
• Ensure 98% critical master and transactional data accuracy at go‑live
• Define integration patterns between S/4 and ecosystem applications (APIs, events, SLT/CDC, iPaaS/BTP)
• Prioritise AI use cases (forecasting, ATP optimisation, document AI, anomaly detection)
• Define ML data contracts and embed models in operational processes (Fiori, SAC)
• Establish MLOps foundations: pipelines, CI/CD, monitoring, retraining, drift
• Chair the Data & AI Design Authority, driving alignment across internal teams and multiple SI/vendor partners
• Govern architectural artefacts, design standards, roadmaps and patterns
• Identify and manage architectural risks, dependencies and technical debt

Key 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 SI and vendor partners
• Exposure to SAP MDG, BTP, Datasphere, Data Intelligence
• Understanding of enterprise AI capabilities across SAP, Salesforce, Workday
• Strong leadership, communication and stakeholder management skills

• leadership
• communication
• stakeholder management
• SAP S/4HANA
• S/4HANA data structures
• SAP BTP

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