Transformation Data & AI Architect

Weir•Fort Worth, TX

3d•Hybrid

About The Position

Weir’s global SAP S/4HANA (S4+) transformation represents a once-in-a-generation opportunity to build the core business platforms that will support operational excellence and growth for the next decade. As we modernise our enterprise applications across SAP and complementary systems such as Salesforce, Workday and Coupa, data and AI are fundamental to unlocking the full value of this transformation. The Transformation Data & AI Architect is a senior leadership role within the S4+ Programme, responsible for defining, governing and delivering the end-to-end Data & AI architecture. This includes ensuring all data models, flows, governance structures and AI capabilities align with enterprise value streams, S/4 best practice and Weir’s Clean Core approach. A key aspect of this role is operating across a multi-partner ecosystem, working directly with our systems integrator, technology partners, internal domain teams and enterprise architecture to ensure architectural consistency, integration alignment and high-quality delivery across all workstreams.

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.

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 Weir’s 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.