Overview
You will lead the Data, AI and Automation pillar, owning the strategy and delivery of procurement's data, digital and AI capability. You will identify, shape and deploy opportunities for automation and AI across procurement processes, ensuring tools are practical, safe and embedded into day to day ways of working. You will define data standards and system behaviours, ensure data is reliable and usable, and create the digital conditions needed for accurate reporting and effective commercial insight. You generate the data, dashboards, signals and exception reporting that underpin commercial intelligence, ensuring outputs are accurate, timely and ready for interpretation by the Commercial Intelligence pillar. You will manage and develop the Data, AI and Automation team, ensuring the pillar delivers high quality digital products, reliable data and effective change that improves procurement performance.
Responsibilities
- Own, develop and execute the AI and automation productivity roadmap for procurement, maintaining a clear pipeline of opportunities and prioritising high value improvements such as predictive analytics, early warning signals and intelligent automation.
- Identify and lead the delivery of high value AI improvements, sequencing activity based on value and readiness and turning opportunities into practical changes that lift efficiency, strengthen controls and improve the quality of commercial decisions.
- Integrate AI into core processes and decision support, ensuring use is safe, explainable and tied to clear business outcomes.
- Set adoption standards and skills plans, and track benefits such as return on investment, time saved, error reduction and improved decision quality.
- Own procurement and vendor data governance, quality and architecture, setting the rules for how data is structured, maintained and validated across procurement systems.
- Own vendor master data and onboarding standards, including the data model, mandatory fields, risk and ESG attributes and transparency evidence, with systems enforcing completion and PR&A assuring compliance.
- Maintain the procurement taxonomy, reference data and coding standards so reporting, spend analysis and risk insight are accurate and consistent.
- Run data quality controls and measures, with clear data quality KPIs, root cause analysis and remediation plans.
- Maintain a single, trusted set of procurement and vendor data, and own data access and system generated reporting for the function.
- Lead improvement of procurement systems and workflow automation, ensuring solutions are practical, adoptable and deliver measurable business value.
- Set the configuration and control standards for procurement systems, and own SAP and SRM access management and user setup, including roles, permissions and workflow access.
- Operate AI regulatory and ethical guardrails, ensuring compliance with the UK AI Act and GDPR, including human oversight, transparency, model documentation and responsible automated decision making.
Qualifications
- Degree level or equivalent professional qualification in a relevant discipline
- Strong grounding in data, digital or AI related disciplines through professional experience
- MBA or postgraduate qualification in a relevant discipline (desirable)
- Professional accreditation in data governance, digital transformation, AI or an equivalent field (desirable)
- Experience leading data, digital or AI capability within a procurement or commercial function, delivering measurable improvement in systems, controls or insight
- Experience designing, improving or operating data governance, data quality or digital workflow standards
- Experience working with senior stakeholders across Finance, Digital, Legal, Audit, Risk and operational teams to resolve issues and strengthen digital capability
- Experience in a regulated industry such as water, energy, infrastructure or utilities with a focus on digital transformation
- Participation in relevant industry or professional networks (data, AI or digital)
- Experience supporting organisational or process modernisation
- Passionate about mentoring and capability-building within teams, supporting professional development
- Deep working knowledge of data governance, data quality and data architecture, and how these support consistent, compliant and confident decision making
- Awareness of emerging AI and digital trends relevant to procurement
Note: This description focuses on the role responsibilities and qualifications for the Data, AI and Automation pillar within procurement. It excludes unrelated marketing or company-specific promotional content.
