Data and Reporting Manager (61429) at Ntice Sourcing Solutions

Global Procurement & Value Enablement

• We are seeking a senior Data & Reporting Lead to drive enterprise-wide data governance, reporting strategy and value realisation across a global Source-to-Pay landscape.
• This is a high-impact leadership role responsible for transforming complex procurement data into strategic insights that drive measurable cost savings, process efficiencies and executive decision-making. You will lead internal analysts while partnering with senior global stakeholders across supply chain, finance, legal and compliance.

Key Responsibilities

• Own and deliver the global data and reporting strategy across procurement and associated reporting platforms
• Establish and enforce enterprise-wide data governance, quality standards and policy controls
• Lead KPI development, savings tracking and performance reporting aligned to procurement and supply chain objectives
• Oversee dashboard and visualisation development (strategic, tactical and operational reporting)
• Ensure audit readiness and regulatory compliance across data, reporting and financial controls
• Drive automation and reporting optimisation initiatives

Non-Negotiable Requirements

• 5+ years in a senior procurement reporting or business process owner role within a complex, global environment
• 5+ years leadership experience 
• Proven experience designing and implementing data governance frameworks and quality controls
• Strong procurement process expertise (Source-to-Pay / Procure-to-Pay)
• Advanced stakeholder engagement skills at executive level
• Demonstrated track record of turning data into measurable business value and cost savings
• Strong project management capability with experience running multiple concurrent initiatives
• Advanced SQL skills
• Strong experience with BI tools (Power BI, Tableau or similar)
• Solid understanding of data warehousing and ETL processes
• Experience working across ERP and procurement platforms
• Knowledge of regulatory and financial control environments (e.g., SOX, data privacy frameworks)
• Experience within complex, asset-heavy or multinational industries
• Python or R for advanced analytics
• Background in supply chain, data science or business analytics