Want to know if this job is worth applying to?
Glasgow, Alba / Scotland, United Kingdom
Onsite
Job Title: S4+ Data & Analytics Lead
Location: UK / India / US
Remote with International Travel
Purpose of Role:
The S4+ Data & Analytics Lead is the single-thread accountable leader for the end-to-end data and analytics agenda across the S4+ programme, owning all programme data outcomes across design, build, test, migration, cutover, and post go-live stabilisation.
The role ensures the programme delivers clean, reconciled data, trusted analytics, and AI ready foundations, while protecting operational and financial integrity through cutover. It has the mandate to define standards, chair programme data governance, and stop or escalate delivery where data readiness or risk would compromise go live integrity or future value realisation.
This is a programme role with explicit responsibility to ensure programme artefacts, controls, and ways-of-working become BAU-ready and are transitioned into business-as-usual operating rhythms post go-live.
About the S4+ Programme
The Weir Group is undertaking S4+, a major global business transformation programme built around SAP S/4HANA. S4+ is far more than an IT or systems upgrade, it is an enterprise-wide transformation encompassing process redesign, data harmonisation, operating model change, and cultural change across Weir.
S4+ will replace legacy systems with a single, integrated global operating model built on common standards and a single source of truth, transforming end-to-end value streams across Finance, Supply Chain, Sales & Marketing, Service, Manufacturing, and Engineering/Innovation/PLM (HR excluded, having already transitioned to Workday).
Data, analytics and AI are core enablers of S4+, with clean, harmonised, high-quality data foundations required to unlock real-time insight and scalable AI across SAP and connected enterprise platforms.
Key Responsibilities:
Programme Data Leadership & Governance
- Single accountable owner for S4+ data outcomes; owns integrated data roadmap and governance.
Measures / Indicators (examples):
- Integrated data roadmap published, maintained, and used in programme governance.
- Cross-domain dependencies and data risks tracked early and resolved through governance.
Information Modelling & Design Authority
- Own programme information modelling outputs and chair data-related design authority decisions.
Measures / Indicators (examples):
- Source-of-record (SoR) and information model artefacts approved and adopted.
- Design authority decisions are evidence-based and minimise semantic divergence.
Migration, Readiness & Cutover Integrity
- Own end-to-end data migration and go live readiness; stop/escalate where data risk exists.
Measures / Indicators (examples):
- Evidence-based data gates achieved for readiness-to-test, readiness-to-cutover, and go-live.
- Go-live recommendations supported by auditable evidence packs (reconciliation, defect position, residual risk).
Analytics & AI Enablement
- Deliver trusted analytics and AI ready foundations aligned to enterprise controls.
Measures / Indicators (examples):
- Trusted analytics maintained through cutover (one version of truth, agreed KPIs, lineage).
- AI enablement criteria embedded into data gates and BAU-ready monitoring.
Decision Rights & Escalation
S4+ Data & Analytics Lead — Decides:
- Programme data standards and evidence requirements for data gates (within enterprise guardrails).
- Data readiness go/no-go recommendations for each major gate, based on auditable evidence and residual risk.
S4+ Data & Analytics Lead — Stops / Escalates:
- Stops or escalates delivery where data readiness threatens operational/financial integrity through cutover.
S4+ Data & Analytics Lead — Recommends:
- Material risk recommendations to Exec/Board governance via the Data & AI Transformation Director, supported by evidence packs and mitigations.
Key Outputs & Deliverables
- Integrated S4+ Data Roadmap (including data gates, dependency map, and readiness milestones).
- Programme Information Model Pack (SoR decisions, object catalogue, data quality rules, KPI definitions and lineage).
- Migration & Cutover Evidence Packs (auditable reconciliation results, defect logs, residual risk dossier, go/no-go recommendations).
- Trusted Analytics Pack (one version of truth KPI catalogue, lineage, reporting transition plan).
- BAU Transition Pack (governance cadence, monitoring dashboards, ownership/stewardship model, early-life support routines).
Key Interactions & Stakeholders
- Data & AI Transformation Director: escalation and Exec/Board risk recommendations.
- Transformation Data & AI Architect: alignment to target architecture and data patterns.
- Data & AI Governance Lead – S4+: enterprise controls, quality, privacy/security, Responsible AI by design.
- Programme leadership (Programme Director, Chief Architect, PMO) and Change/People & OD for readiness/adoption.
- Product Domains (PDO/PDLs, Domain Architects, SMEs): ensure data outcomes align to process design and value streams.
- SI/Partners: enforce standards, evidence requirements, and consistent delivery across domains.
Job Knowledge/Education and Qualifications:
KNOWLEDGE
- Data governance, migration, analytics and AI enablement in SAP S/4HANA programmes.
- Information modelling artefacts (SoR, object catalogue, DQ rules, KPI lineage).
- Data readiness and cutover integrity in ERP transformations.
SKILLS
- Programme leadership and delivery management.
- Standard setting and enforcement across partners and domains.
- Confident escalation where data risk threatens go live.
CAPABILITY
- Single thread accountability for S4+ data outcomes.
- Establish and run programme data governance and design authority.
- Protect operational and financial integrity through cutover.
EXPERIENCE
- Leading data and analytics on SAP S/4HANA or ERP scale transformations.
- Hands-on data migration, reconciliation and go live readiness.
- Delivering trusted analytics and eliminating fragmented reporting.
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.
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.