Business Transformation CPQ Process Analyst (with AI Focus)

• Mexico - Distrito Federal - Mexico D.F.

Position Description:

Lenovo is seeking a highly motivated CPQ Process Analyst to join its Global Transformation Organization, supporting enterprise-level transformation around Configure, Price, Quote (CPQ) capabilities. This global role is pivotal in driving process innovation and AI-enabled optimization across Lenovo’s quoting and pricing landscape.

The ideal candidate will combine deep experience with CPQ platforms and ERP integration with a practical understanding of AI/ML technologies, including their use in predictive pricing, intelligent configuration, and quote automation. This role sits at the intersection of business transformation, technology enablement, and AI strategy execution.

You’ll work cross-functionally with Sales Operations, Product, Finance, IT, and Data Science teams to reimagine quoting experiences through smart workflows and data-driven insights.

Key Responsibilities:

• Lead CPQ Process Analysis & Design:

Analyze and redesign CPQ processes to improve efficiency, scalability, and business value. Incorporate AI-driven capabilities such as guided selling, dynamic discounting, and predictive quote scoring.

• AI Integration & Innovation:

Partner with internal data science and AI teams to implement models that support use cases like intelligent configuration, real-time pricing optimization, and workflow automation. Evaluate where GenAI or traditional ML can best be applied within quoting and approval processes.

• Cross-Functional Collaboration:

Work across Sales, Finance, Product, and IT teams to align CPQ capabilities with business needs. Develop solution blueprints and future-state roadmaps that leverage AI where feasible.

• Platform Evaluation & Optimization:

Assess current CPQ platforms and integrations. Recommend upgrades or reconfigurations that enable advanced analytics, machine learning input, and greater automation across the quoting lifecycle.

• Data, Analytics, & Reporting Support:

Support interim and long-term reporting needs. Help define the right data sources and structure for AI use cases, ensuring high data quality and governance.

• Training & Change Management:

Help develop and deliver training for end users, emphasizing the value and impact of AI-enhanced quoting tools. Support adoption and continuous improvement.

Preferred Skills (Bonus):

• Familiarity with pricing engines, rebate/incentive optimization, and segmentation modeling.
• Experience with AI or analytics platforms like Databricks, Power BI, Tableau, or similar.
• Understanding of knowledge graphs or GenAI approaches for product/configuration advisory.

Required Qualifications:

• Bachelor’s degree in Business, Engineering, Information Systems, or related field; Master’s degree preferred.
• 5+ years of experience in business process analysis or sales operations, with a focus on CPQ.
• Demonstrated experience with CPQ platforms (e.g., SAP CPQ, PROS, Tacton, Salesforce CPQ).
• Proven understanding of quoting workflows, product configuration logic, and pricing models.
• Practical exposure to AI/ML tools or platforms (e.g., Python, SQL, predictive models, recommendation engines, or GenAI capabilities like prompt tuning for CPQ tasks).
• Experience collaborating with AI/Analytics teams to turn business requirements into machine learning solutions.
• Strong grasp of Agile/ASAP methodologies and iterative delivery models.
• Excellent communication, stakeholder management, and analytical thinking.

• Mexico - Distrito Federal - Mexico D.F.