Supply Chain Data & Performance Manager

Experis; Metropolitan Borough of Solihull; On-site; GBP 77,000 - 94,000; Full time

Job summary

Experis in Solihull seeks a Supply Chain Data & Performance Manager for a 3–6 month role to drive data quality, KPI design, reporting and analytics across demand, purchasing, inventory, fulfilment and partners.

The role leads the single version of truth for the Supply Chain Control Tower and supports executive governance with insights and action tracking.

Qualifications

• Significant experience in performance management or BI within supply chain.
• Ability to integrate data from multiple systems and explain insights.
• Strong KPI, reporting and dashboarding capabilities using Power BI or equivalent.

Responsibilities

• 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.

Skills

Performance management

BI analytics

Supply chain data

KPI reporting

Data storytelling

Stakeholder communication

Tools

Power BI

Job description

Role: Supply Chain Data & Performance Manager

Length: 3 to 6 months

Location: Solihull

Rate: £420 to £510 per day via umbrella

Sits within the new business function and creates the single version of truth needed to run the Supply Chain Control Tower. The role leads data quality, KPI design, reporting, analytics and benefit tracking across demand, purchasing, inventory, fulfilment and partners.

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

Essential

• 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.

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