Solution Architect

Solution Architect (PXM / PIM / MDM)

Role Overview

Syndigo is looking for a Solution Architect to own end-to-end solution and functional architecture for enterprise PXM, PIM, and MDM implementations, ensuring strong alignment between business strategy, data strategy, and technical execution.

This role is accountable for leading discovery, defining target-state architecture, and producing clear, scalable, governed functional designs across systems. The Solution Architect works with customers, Program Managers, Implementation Leads, Product, Engineering, and Partners to translate requirements

into executable solutions.

The Solution Architect reduces delivery risk and prevents rework by acting as the design authority and data governance champion across Syndigo's delivery programmes. As agentic commerce reshapes how product data is consumed, this role also owns whether a customer's data foundation is genuinely ready for AI.

Key Duties & Responsibilities

Functional Solution Design

• Lead functional discovery to understand business processes, data requirements, and target-state objectives
• Define and document data models, hierarchies, taxonomies, attributes, workflows, and business rules across PXM, PIM, and MDM
• Translate business requirements into scalable, governed functional designs aligned to platform capability
• Produce a clear Functional Specification Document at the close of each solution phase

Integration & Data Strategy

• Define integration approach, system interaction models, and data ownership boundaries
• Align data migration strategy, validation approach, and cutover planning with delivery teams
• Ensure functional alignment across upstream systems such as ERP and PLM and downstream channels such as commerce, marketplaces, and syndication
• Set data quality thresholds and governance rules that the delivered solution must sustain

Design for AI & Agentic Commerce

• Assess whether a customer's taxonomy, attribution, and data quality are sufficient for AI enrichment and agentic consumption
• Design human-in-the-loop checkpoints into target-state workflows so automation stays governed
• Define where AI agents may act unattended and where human approval remains mandatory
• Specify the data quality and completeness thresholds that make AI output trustworthy

Cross-Functional & Multi-Team Collaboration

• Partner closely with Implementation Leads, Program Managers, Product, Engineering, and partner teams
• Facilitate