Digital Transformation CPQ Process Specialist | AI Focus **General Information** Req # WD00086038 Career area: Data Management and Analytics Country/Region: Mexico State: Distrito Federal City: Mexico D.F. Date: Friday, August 1, 2025 Working time: Full-time **Additional Locations** : * Mexico - Distrito Federal - Mexico D.F. **Why Work at Lenovo** We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via ourStoryHub (https://news.lenovo.com/) . **Description and Requirements** 📋 **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. **Additional Locations** : * Mexico - Distrito Federal - Mexico D.F. * Mexico * Brazil - Distrito Federal * Mexico - Distrito Federal - Mexico D.F.