Remote Pricefx Specialist — Pricing & TPM Expert (Mexico)

GSB; México; Remote; MXN 1,117,000 - 1,338,000; Full time

Benefits offered by this job

Excellent benefits

Job summary

PriceFX is seeking a Pricefx Specialist to own the configuration, administration, data integration, and continuous improvement of our Pricefx platform across our Consumer Goods operations. You will bridge commercial business teams and enterprise IT, managing modules like Pricing Logic, Price Builder, CPQ, TPM/TPO, and Rebate Management with SAP integration.

You will design Groovy logic, pricing formulas, data feeds, and release deployments, while optimizing performance for high-volume SKU data

Qualifications

• 3–5+ years of hands-on Pricefx implementation/configuration or administration.
• Strong Groovy scripting and Pricefx architecture knowledge (Pricefx Logic, Data Feeds, Data Sources).
• 2+ years in Consumer Goods (FMCG), Retail, or Manufacturing commercial pricing practices.
• Understanding of enterprise integration patterns (REST APIs, JSON) connecting Pricefx with SAP S/4HANA.

Responsibilities

• Lead end-to-end functional configuration and technical maintenance of Pricefx modules (Price Setting, Analytics, Rebates, TPM).
• Design, implement, and test Groovy logic, pricing formulas, price grids, and approval workflows within Pricefx.
• Manage data ingestion, integration mappings, and API data feeds between Pricefx, SAP/ERP, and data warehouses.

Skills

Groovy scripting

Pricefx architecture

ERP integration

Pricing knowledge

Tools

REST APIs

JSON

Pricefx data feeds

Job description

PriceFX is seeking a Pricefx Specialist to own the configuration, administration, data integration, and continuous improvement of our Pricefx platform across our Consumer Goods operations. You will bridge commercial business teams and enterprise IT, managing modules like Pricing Logic, Price Builder, CPQ, TPM/TPO, and Rebate Management with SAP integration.

You will design Groovy logic, pricing formulas, data feeds, and release deployments, while optimizing performance for high-volume SKU data