Pricing Technology Integration Engineer - Manager

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, winrate 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

• Lead technical design for advanced configuration areas (multi-step workflows,

advanced calculations, performance optimization).

• Provide effort estimation, planning inputs, and WBS/story sizing for Pricefx

workstreams.

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

discipline.

• Act as primary technical escalation point for configuration and integration

challenges.

• Engage directly with client stakeholders to explain design tradeoffs and solution

implications.

Must Have

• 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.
• Exposure to ERP/CRM/CPQ ecosystems and enterprise master data management