📋 Overall 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 roles and 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.
✅ Skills:
- 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.
- Ability to work collaboratively in a matrixed, global team environment.
- Availability to work in a hybrid model.
📍This position is located at Avenida Antonio Dovali Jaime No. 70, Torre A piso 14, Colonia Zedec Santa Fe Alcaldía Álvaro Obregon, Mexico.
We are equal opportunity employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as veteran and basis of disability or any other federal, state, or local protect class.
