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Weir

Transformation Data & AI Architect

LocationGlasgow; Bangalore
Work modehybrid
SeniorityLead
DepartmentIS&T
Company size10,000+ people
First seenOct 7, 2026 · 4d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have9
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
Skills
SAP S/4HANA
SAP BTP
Datasphere
Data Intelligence
SAP MDG
SLT
BW/4HANA
Salesforce
Workday
Coupa
Fiori
SAC
iPaaS
Job Title: Transformation Data & AI Architect Division: IS&TLocation:UK/IndiaOnsite/Hybrid/Remote/ShiftPurpose of Role:
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.
About the company
Why choose Weir: Be part of a global organization dedicated to building a better future: At Weir, the growing world depends on us. It depends on us constantly reinventing, quickly adapting and continually finding better, faster, more sustainable ways to access the resources it needs to thrive. And it depends on each of us doing the best work of our lives. It’s a big challenge – but it is exciting.
Benefits
An opportunity to grow your own way: Everything moves fast in the dynamic world of Weir. This creates opportunities for us to take on new challenges, explore new areas, learn, progress and excel. Best of all, there is no set path that our people must take. Instead, everyone is given the support and freedom to tailor-make their own career and do the best work of their lives.
Feel empowered to be yourself and belong: Weir is a welcoming, inclusive place, where each individual’s contribution is recognized and all employees are encouraged to innovate, collaborate and be themselves. We continually focus on people and their wellbeing. We believe in fairness and choose to be honest, transparent and authentic in everything we do.
Key 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.
Job 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/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.
Founded in 1871, Weir is a world leading engineering business with a purpose to make mining operations smarter, more efficient and sustainable. Thanks to Weir’s technology, our customers can produce essential metals and minerals using less energy, water and waste at lower cost. With the increasing need for metals and minerals for climate change solutions, Weir colleagues are playing their part in powering a low carbon future. We are a global family of 11,000 uniquely talented people in over 60 counties, inspiring each other to do the best work of our lives.
For additional information about what it is like to work at Weir, please visit our Career Page and LinkedIn Life Page.
Legal
Weir is committed to an inclusive and diverse workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or any other legally protected status.
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