Data & AI Governance Lead – S4+

Job Title Data & AI Governance Lead – S4+

Location - US / UK / India

Remote with International Travel

Purpose of Role:

Designs, embeds, and operates enterprise grade data and AI governance across the S4+ programme, ensuring data, analytics, and AI assets are trusted, compliant, and ready for scale.

The role works into the Data Workstream and is responsible for delivery, ensuring that data, analytics and AI assets created or impacted by S4+ are trusted, compliant, well governed and ready for scale.

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 Weir’s 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 and AI capabilities are an explicit enabler of the programme’s strategic goals, making trusted data, governance, and Responsible AI controls foundational to successful delivery and sustainable value post go-live.

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:

Own delivery of Data & AI governance for S4+

Objective: Provide a single accountable owner for governance delivery across S4+, ensuring consistent standards, controls, and adoption readiness.

• Own delivery of enterprise grade Data & AI governance across the programme.
• Establish governance-by-design expectations across the delivery lifecycle (design, build, test, migration, cutover, stabilisation) so controls are embedded early, not retrofitted.
  
  

Embed ownership, stewardship, data quality, privacy, security, and Responsible AI controls by design

Objective: Ensure solutions are safe, trusted, and scalable by embedding controls into delivery and operating routines.

• Embed data ownership and stewardship roles, responsibilities, and decision cadence across domains and workstreams.
• Define and embed data quality controls (rules, thresholds, monitoring expectations, defect management and remediation governance).
• Embed privacy, security, and regulatory controls aligned to enterprise obligations; ensure compliant handling of sensitive/regulated data in pipelines and analytics.
• Embed Responsible AI controls appropriate to AI-enabled capabilities (traceability, transparency, auditability, appropriate use, risk classification, oversight).
  
  

Work in close partnership with the Transformation Data & AI Architect

Objective: Ensure architectural decisions are supported by appropriate governance controls.

• Work in close partnership with the Transformation Data & AI Architect.
• Ensure architectural decisions are supported by governance controls (ownership, stewardship, data quality, privacy/security, Responsible AI).
• Ensure governance requirements are designed into architecture patterns and reusable standards.
  
  

Track, report, and escalate data & AI risk and compliance

Objective: Make risk visible early, manage it actively, and ensure timely escalation where delivery or enterprise obligations are threatened.

• Track, report, and escalate data & AI risk and compliance.
• Operate as first line governance accountability: identify risks early, propose mitigations, and ensure clear action ownership.
• Support evidence-based decision packs for programme leaders and Exec/Board governance where material risk decisions are required.
  
  

Ensure governance artefacts and controls are BAU-ready post go-live

Objective: Ensure BAU inherits a working governance operating model, not just documentation.

• Ensure governance artefacts and controls are transition-ready for BAU adoption post go-live.
• Define BAU readiness criteria for governance (ownership assigned, monitoring live, exception handling operating, forums scheduled) and ensure criteria are met ahead of final programme gates.
• Define early-life support routines for governance issues post go-live (triage, escalation, remediation, monitoring) until BAU stabilises.
  
  

Job Knowledge/Education and Qualifications:

Knowledge

• Data governance, data management and Responsible AI practices.
• Privacy, security, regulatory and AI risk obligations.
• Characteristics of trusted, AI ready data.
  
  

Skills

• Translation of policy into executable controls.
• Facilitation, escalation and risk articulation.
• Collaboration with architecture, delivery, legal, security and risk.
  
  

Capabilities

• Embed governance into delivery without slowing progress.
• Operate as first line governance accountability.
• Ensure governance artefacts are BAU ready post go live.
  
  

Experience

• Delivering data governance and/or AI governance in large programmes.
• Embedding ownership, stewardship, data quality and Responsible AI by design.
• Operating with board safe judgement while remaining outcome focused.
  
  

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.