Lenovo

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 while incorporating 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 and 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 while helping 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, and support adoption and continuous improvement.

Preferred Skills

• 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 such as SAP CPQ, PROS, Tacton, or Salesforce CPQ. Proven understanding of quoting workflows, product configuration logic, and pricing models.
• Practical exposure to AI/ML tools or platforms such as 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, along with excellent communication, stakeholder management, and analytical thinking.