Pricing Technology Solution Architect- Manager

BangaloreFull-timePosted Jul 16, 2026

Industry/Sector

Not Applicable

Specialism

Customer

Management Level

Manager

Job Description & Summary

Pricefx configuration & technical ownership 

  • Lead and review Pricefx configuration using Groovy scripting to implement complex pricing logic, workflows, validations, calculations, and UI behaviors. 

  • Own solution design for price lists, discount structures, approval flows, rebate agreements, and pricing governance constructs. 

  • Own and maintain CI pipelines for Pricefx configuration artifacts (scripts/logic, packageable configuration, integration templates) and for any related integration services. 

  • Design scalable, high-performance calculation logic (header/line-level execution, validity management, performance tuning). 

  • Establish reusable components, accelerators, and configuration standards to improve maintainability and delivery speed. 

AI-enabled pricing & analytics enablement 

  • Shape and embed AI-assisted pricing use cases such as: 

  • intelligent deal guidance within defined approval guardrails 

  • anomaly detection on price changes and margin leakage 

  • segmentation-driven discounting and elasticity signals 

  • compliance alerts and exception monitoring 

  • Guide implementation of pricing KPIs including margin waterfall, realized price, win-rate vs discount, price variance, and rebate effectiveness. 

  • Ensure explainability, governance, and auditability of AI-driven outputs within pricing workflows. 

Delivery leadership 

  • Lead a Pricefx configuration workstream or small team (3–8 members). 

  • Own technical design decisions and manage complex configuration dependencies. 

  • Translate functional requirements into technical design and delivery backlog. 

  • Drive sprint planning, defect triage, SIT/UAT readiness, release governance, and hypercare support. 

  • Manage technical risks, performance issues, and integration dependencies. 

Data & integration collaboration 

  • Work with integration/data teams on ERP/CRM/CPQ interfaces, ensuring correct mappings, validations, and reconciliation controls. 

  • Oversee data quality checks for price lists, customer/product hierarchies, agreements, and rebate datasets. 

  • Validate end-to-end data integrity across inbound and outbound interfaces. 

Documentation & quality 

  • Produce and review configuration design documents, Groovy logic notes, deployment guides, and runbooks. 

  • Conduct code/configuration reviews and enforce secure engineering practices. 

  • Establish quality gates and review standards across the configuration team. 

Level-specific expectations Solution Architect :

  • Mentor Senior Associates and Associates; enforce coding standards and delivery discipline. 

  • Act as primary technical escalation point for configuration and integration challenges. 

  • Serve as a trusted advisor to senior client stakeholders across sales, finance, revenue management, and IT. 

  • Lead executive-level discussions, providing insights on Pricefx solutions, process redesign, and product enablement.  

  • Ensure strong relationships through transparent communication, delivery excellence, and proactive issue of resolution.  

Must Have:

  • 8-12 years of experience

  • Hands-on Pricefx implementation experience with configuration ownership. 

  • Strong proficiency in Groovy scripting with demonstrated delivery of pricing logic in enterprise environments. 

  • Hands-on familiarity with at least one CI/CD platform (Jenkins, GitHub Actions, GitLab CI/CD, Azure Pipelines, or CircleCI) and pipeline-as-code practices. 

  • Solid understanding of pricing concepts: price lists, discount governance, segmentation, approval workflows, rebates/incentives. 

  • Experience leading cross-functional teams (functional, data/integration, QA, release). 

  • Strong troubleshooting and problem-solving capability. 

  • Bachelor’s degree minimum (Engineering/CS/IT preferred). 

Good to have:

 

  • Experience with pricing analytics and KPI frameworks (margin leakage, price realization, deal performance). 

  • Exposure to AI/ML concepts in commercial analytics (forecasting, anomaly detection, segmentation, elasticity). 

  • Familiarity with integration patterns, APIs, and data pipelines. 

  • Agile/Scrum delivery experience; tools such as Jira/Azure DevOps. 

Travel Requirements

Up to 40%

Job Posting End Date

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