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Salary
≈ $130k – $215k per year (Estimated)
Location
Hybrid (Glasgow, United Kingdom, Bengaluru, India)
Seniority
Architect
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jul 22, 2026.

Overview
Company
Impact
Profile match
Weir is a British engineering company headquartered in Glasgow, Scotland, that supplies mining technology, including slurry pumps, crushers, wear parts, digital and AI tools and services for mining, mineral processing and infrastructure customers. Founded in 1871 and listed on the London Stock Exchange as Weir Group, it operates through its Minerals and ESCO divisions with manufacturing and service sites across Australia, Canada, Chile, Brazil, India, China and the United States. It hires production operators and pump assembly technicians, sales and lab test engineers, continuous improvement and logistics staff, and finance and payroll specialists.

Job Title:Transformation Data & AI Architect

Division: IS&T

Location:UK/India

Onsite/Hybrid/Remote/Shift

Purpose of Role:

Weir’s global SAP S/4HANA (S4+) transformationrepresentsa once-in-a-generation opportunity to build the core business platforms that will support operational excellence and growth for the next decade. As wemoderniseour 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,governingand delivering the end-to-end Data & AI architecture. This includes ensuring all data models, flows, governancestructuresand AI capabilities align with enterprise value streams, S/4 bestpracticeand Weir’s Clean Core approach.

A key aspect of this role isoperatingacross a multi-partner ecosystem, working directly with our systems integrator, technology partners, internal domainteamsand enterprise architecture to ensure architectural consistency, integrationalignmentand high-quality delivery across all workstreams.

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.

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.
  • Establishdata and AI principles aligned to Weir’s enterprise governance and Clean Core standards.
  • Partner with Manufacturing, Supply Chain,Procurementand 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,cutoverand 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).
  • PrioritiseAI use cases (forecasting, ATPoptimisation, document AI, anomaly detection).
  • Define ML data contracts and embed models in operational processes (Fiori, SAC).
  • EstablishMLOpsfoundations: 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,roadmapsand patterns.
  • Identifyand manage architectural risks,dependenciesand technical debt. Job Knowledge/Education and Qualifications:
  • Proven experience as a Data Architect on complex SAP S/4HANA transformationprogrammes.
  • Deep knowledge of SAP master and transactional data structures and S/4 semantics.
  • Strong experience in data migration, dataqualityandharmonisation.
  • 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 toSAP MDG, BTP, Datasphere, Data Intelligence.
  • Understanding ofenterprise AI capabilities across SAP, Salesforce, Workday.
  • Strong leadership,communicationand 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.

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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