Roles & Responsibilities
Procurement Data Management
Drive the implementation of Procurement specific content utilized across multiple platforms including Preferred Supplier, Buying Portal, Policy Compliance, etc..
Support maintenance of process and governance for spend taxonomy refresh.
Support the production and development of procurement dashboard enhancements, as required.
Work with capability and process owners to provide data extracts, advise and enable strategy and process improvement initiatives (Buying Portal, Sustainability)
Maintain transactions and master data including working with external providers to cleanse data.
Data & Analytics Support
Support build phase of analytics use cases, including detailed data gathering, insights reporting, prioritization, integration, etc., with relevant stakeholders
Understand and summarize advanced analytical techniques, including predictive analytics, machine learning, and artificial intelligence, to gain deeper insights into procurement data
Support the development and distribution of ad-hoc and routine reporting data
Support project / initiatives management including timelines, stakeholder identification, objective documentation, etc.
Continuous Improvement & Compliance
Support continuous improvement efforts to ensure processes minimize manual effort associated with collecting and refreshing data
Ensure that data and analytics practices within procurement adhere to relevant regulatory requirements
Key Stakeholder Management
Collaborate with across Procurement and cross-functional teams to gather requirements, identify root causes behind metrics, and generate insights
Regularly engage with appropriate Technology and third-party stakeholders to drive execution activities of analytic use cases (i.e., building dashboards, etc.)
Functional Skills
Must-Have Skills
Experience participating on cross-functional and/or global teams
Internal stakeholder management and strong virtual team participation
Advanced data/information and analytics management (including cycle times, KPI’s and SLA’s), continuous improvement expertise, and project management skills
Strong analytical skills, including the ability to analyze large datasets, identify trends, and derive actionable insights
