Supply Chain Data & Performance Manager

Role Accountabilities

• Define the Supply Chain data model, sources, ownership and business rules.
• Lead prioritised data cleansing and reconciliation and ensure root causes are addressed.
• Design KPIs, scorecards and dashboards covering cost, service, inventory, demand, purchasing, partners, risk and compliance.
• Provide insight, exception reporting and decision support for Control Tower and executive governance.
• Work with Finance and leads to establish baselines and trace actions to cost, cash or risk outcomes.
• Run the performance cadence, convert insight into actions and monitor closure.
• Explain data limitations clearly and improve confidence in decision information.
• Develop reporting, analytics and automation requirements for the future operating model.

Key decisions you will own

• Set Supply Chain data definitions, KPI standards and reporting requirements.
• Prioritise data cleansing and analytical development according to value, risk and operational need.
• Determine when information is sufficiently reliable for governance, stating limitations.
• Set the performance review and action-tracking cadence.

What success looks like

• A trusted Supply Chain performance view is used for operational and executive decisions.
• Core definitions, ownership and quality controls are agreed across teams and partners.
• Dashboards identify exceptions, risks and actions rather than only historic activity.
• Cost, cash, service and risk outcomes are traceable from baseline to delivery.

Skills & Experience

• Significant performance management, BI, analytics or supply chain data experience.
• Ability to integrate, reconcile and explain information from multiple systems and partners.
• Strong KPI, reporting and dashboarding capability, including Power BI or equivalent.
• Clear data storytelling and senior stakeholder communication.
• Understanding of supply chain measures, financial baselines and benefit tracking.

Desirable

• Experience creating trusted reporting from fragmented data.
• Experience establishing a Control Tower, predictive analytics or automation.