Develop and lead the vendor data strategy, ensuring alignment with ET’s strategic goals and enterprise data standards.
Design and maintain data models and dashboards that provide actionable insights into vendor performance, spend, risk, and pipeline health.
Partner with vendor managers, technology leaders, and enterprise data teams to ensure consistent data definitions, sources, and reporting standards.
Establish data governance practices for vendor-related data, including quality controls, metadata management, and compliance with regulatory requirements.
Support strategic vendor initiatives by providing data-driven analysis for sourcing decisions, renewals, and performance reviews.
Enable predictive analytics and scenario modeling to support vendor planning and risk mitigation.
Integrate data from multiple systems (e.g., ServiceNow, Ariba, Tableau, internal financial systems) to create a unified vendor intelligence platform.
Collaborate with the Enterprise Vendor Management team to ensure consistency in reporting and alignment with enterprise-wide vendor strategy.
Drive continuous improvement in data processes, tools, and automation to enhance decision-making and operational efficiency.
Requirements
Bachelor’s degree in Data Science, Information Systems, Business, or related field; advanced degree or certification in data analytics preferred.
7+ years of experience in data strategy, analytics, or technology operations, preferably in a vendor management or enterprise technology context.
Strong understanding of data architecture, governance, and visualization tools (e.g., Tableau, Power BI, SQL, Python).
Experience working with vendor management systems and enterprise platforms (e.g., ServiceNow, Ariba, SAP).
Proven ability to translate complex data into strategic insights and executive-level reporting.
Excellent collaboration and communication skills, with the ability to influence across technical and business teams.
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