Data & AI Governance Lead – S4+

Weir•Fort Worth, TX

7d•Remote

About The Position

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. 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.

Requirements

Knowledge of Data governance, data management and Responsible AI practices.
Knowledge of Privacy, security, regulatory and AI risk obligations.
Knowledge of Characteristics of trusted, AI ready data.
Skills in Translation of policy into executable controls.
Skills in Facilitation, escalation and risk articulation.
Skills in Collaboration with architecture, delivery, legal, security and risk.
Capabilities to Embed governance into delivery without slowing progress.
Capabilities to Operate as first line governance accountability.
Capabilities to Ensure governance artefacts are BAU ready post go live.
Experience Delivering data governance and/or AI governance in large programmes.
Experience Embedding ownership, stewardship, data quality and Responsible AI by design.
Experience Operating with board safe judgement while remaining outcome focused.

Responsibilities

Own delivery of Data & AI governance for S4+.
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.
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.
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.
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.
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.