AI & Digital Solutions Specialist – Procurement

Join a High-Performance Culture That Drives Innovation and Excellence 

At Vertiv, we don’t just hire talent—we cultivate leaders who drive innovation and engage teams to push the limits of what’s possible. As a global leader in critical digital infrastructure, we are scaling up to meet the demands of AI, data centers, and next-gen technology—and we need bold, high-performing individuals like YOU to take us to the next level. 

Why Vertiv?  

  • High-Performance Culture: We empower you to think big, execute with excellence, and deliver impact. Our performance-driven mindset rewards those who challenge the status quo and drive meaningful change. Over 50 CEO Awards are given annually to recognize top talent moving the needle forward.  

  • Leadership Without Limits: Leadership at Vertiv goes beyond just titles—it’s about  accountability, trust, and ownership. Our leaders engage and drive with collaboration, innovation, and customer-centric thinking, setting the foundation for an action-focused culture.  

  • Limitless Growth & Learning: We believe in continuous development. Whether through rotational programs or high-impact projects, you’ll have the opportunity to expand your expertise and grow your career.  

  • A Place for Everyone: Our commitment to inclusion ensures that all employee’s unique strengths and perspectives are valued. Your voice matters, your growth is prioritized, and your success is celebrated. 

Position Summary:

The AI & Digital Solutions Specialist will be a strategic partner to the Americas Procurement team, driving digital transformation through the development and deployment of AI-powered tools and automation solutions. This role will focus on enhancing procurement agility, data-driven decision-making, and operational efficiency by leveraging advanced analytics, machine learning, and intelligent automation.

The ideal candidate will be a hands-on innovator with strong coding and AI expertise, capable of translating complex procurement challenges into scalable digital solutions. This role requires cross-functional collaboration, independent initiative, and a deep understanding of procurement systems and data.

Key Responsibilities

  • Design and implement AI-powered analytics tools to optimize procurement insights.

  • Develop machine learning models to identify trends, predict risks, and support strategic sourcing.

  • Automate routine procurement tasks (e.g., spend analysis, vendor performance tracking) to reduce manual effort and errors.

  • Ensure data integrity, accuracy, and security in AI models and analytics platforms.

  • Lead the development and enhancement of digital tools and processes across procurement systems.

  • Collaborate with cross-functional teams to identify opportunities for digital innovation.

  • Integrate data from multiple sources (Oracle EBS, Power BI, SharePoint, etc.) for unified reporting and analysis.

  • Perform advanced data analysis to support KPI tracking, cost optimization, and risk mitigation.

  • Create dashboards and reports that provide real-time insights and predictive analytics.

  • Scope, define, and implement digital projects aligned with procurement priorities.

  • Facilitate stakeholder engagement and ensure adoption of new tools and processes.

  • Develop training materials, user guides, and testing scenarios to support solution rollout.

Required Qualifications

  • Bachelor’s degree in Data Analytics, Computer Science, Supply Chain Management, or related field.

  • Minimum 4 years of experience in analytics, digital transformation, or AI development.

  • Proven experience in developing and deploying machine learning models.

  • Coding proficiency in Python, R, SQL, or other relevant languages.

  • Advanced proficiency in Power BI, Excel, PowerPoint, SharePoint.

  • Experience with Oracle EBS or similar ERP systems is a plus.

  • Strong problem-solving, communication, and stakeholder management skills.

  • Ability to manage multiple projects in a dynamic, fast-paced environment.

Preferred Skills & Attributes

  • Familiarity with procurement processes and KPIs.

  • Experience with cloud-based AI platforms (e.g., Azure ML, AWS SageMaker).

  • Knowledge of natural language processing (NLP) and generative AI applications.

  • Agile project management experience.

  • Passion for innovation and continuous improvement.

The successful candidate will embrace Vertiv’s Core Principals & Behaviors to help execute our Strategic Priorities.

OUR CORE PRINCIPALS:  Safety. Integrity. Respect. Teamwork.  Diversity & Inclusion.

OUR STRATEGIC PRIORITIES

  • Customer Focus

  • Operational Excellence

  • High-Performance Culture

  • Innovation

  • Financial Strength

OUR BEHAVIORS

  • Think Big and Execute

  • Act With Urgency

  • Own It

  • Drive Continuous Improvement

  • Promote Transparent and Open Communication

  • Learn and Seek Out Development 

  • Foster a Customer-First Mindset

  • Lead by Example

Summary

Build AI-powered analytics and machine learning models to automate procurement tasks, integrate data from Oracle EBS, Power BI, and SharePoint, and deliver dashboards and reports. Requires a bachelor's degree and at least 4 years of analytics or AI development experience, plus Python, R, or SQL and advanced Power BI skills.

Responsibilities

Design and implement AI analytics; develop ML models; automate procurement tasks; ensure data integrity and security; lead digital tools; collaborate cross-functionally; integrate Oracle EBS, Power BI, and SharePoint data; perform advanced analysis; create dashboards and reports; scope digital projects; drive stakeholder adoption; develop training materials and testing scenarios.

Qualifications

Bachelor's degree in Data Analytics, Computer Science, Supply Chain Management, or related field; minimum 4 years in analytics, digital transformation, or AI development; proven ML model deployment; Python/R/SQL proficiency; advanced Power BI, Excel, PowerPoint, SharePoint; stakeholder management; multitasking.

Education requirements

Bachelor's degree in Data Analytics, Computer Science, Supply Chain Management, or related field.

Experience requirements

Minimum 4 years in analytics, digital transformation, or AI development; proven experience developing and deploying machine learning models.