Co-create and execute an AI & analytics strategy and roadmap in partnership with GSC and SCLC.
Lead and mentor various AI & analytics teams.
Establish a technical roadmap for Supplier AI & analytics.
Translate complex business problems into analytics and AI solutions; own delivery from scoping to production and impact measurement.
Drive organizational adoption: present insights to senior leaders, run stakeholder workshops, and implement change-management plans to embed new capabilities.
Partner with the broader i2 organization to establish data governance, quality, and lineage standards to drive standard business metrics.
Recruit, develop and retain top analytics talent; define hiring priorities and bench strength for key skills (data analysis, data science, analytics storytelling).

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, Economics, or related field
At least 8 years of progressive experience in analytics, data science, AI/ML, or business intelligence
Demonstrated track record of delivering enterprise-scale analytics or AI products that produced measurable business value
Strong stakeholder influence and executive-level communication skills; experience partnering with CFOs or finance leadership
Practical experience implementing analytics operating models
Hands-on understanding of analytics/ML lifecycle, data engineering, cloud analytics platforms, and modern BI tooling
Proven ability to hire, develop and retain cross-functional analytics teams
Familiarity with enterprise business systems such as SAP S/4

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

data analysisdata scienceAImachine learninganalytics storytellinganalytics operating modelsdata engineeringcloud analyticsbusiness intelligence

leadershipmentoringstakeholder influenceexecutive-level communicationchange managementteam developmentcollaboration