HOW WE’LL BE WINNING TOGETHER DAY TO DAY
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 customer and partner workshops, design reviews, and solution walkthroughs
Provide continuous design guidance during implementation to prevent scope creep and rework
Design Governance & Quality
Act as design authority to ensure functional consistency and architectural integrity against Syndigo best practice and product guidelines
Ensure adherence to data governance standards, best practice, and Center of Excellence guidelines
Review solution changes and assess downstream impact across systems before approval
Working with AI
The Solution Architect carries the deepest AI responsibility in the delivery organisation. The role decides whether a customer's data foundation can support AI and agentic commerce, and designs the governance that keeps automation safe.
Lead data readiness assessment for AI, covering taxonomy structure, attribute coverage, completeness, and data quality
Design target-state architecture that supports AI-driven enrichment, content generation, and agentic retrieval
Define human-in-the-loop control points, approval thresholds, and audit requirements within designed workflows
Use approved AI tooling to accelerate discovery synthesis, data profiling, mapping proposals, and design documentation
Validate every AI-assisted design artefact personally, since design errors propagate further than build errors
Advise customers honestly on where AI will and will not deliver value against their current data maturity
WE SHOULD TALK IF THIS SOUNDS LIKE YOU
Strong analytical and functional solution design capability for enterprise data platforms
Ability to translate ambiguous business requirements into scalable, governed functional designs
Strong understanding of PXM, PIM, MDM, or comparable data platforms and their integration patterns
Deep grounding in data governance, data quality, taxonomy, and master data principles
Excellent workshop facilitation and stakeholder communication skills
Ability to reduce ambiguity early and prevent downstream delivery risk
Clear communication with both technical and business audiences, including executive stakeholders
Bachelor's degree required. Master's degree or equivalent advanced credential preferred
5+ years in solution architecture, business analysis, or enterprise data platforms
Strong experience with PXM, PIM, MDM, or comparable data-centric platforms
Data management certification such as CDMP or DAMA DMBOK alignment is an advantage
Enterprise PXM, PIM, MDM, or comparable data platforms
APIs, integrations, REST services, and JSON-based configuration
SQL and reporting for data analysis, profiling, and validation
Python and Postman for data inspection, API validation, and analysis
Data modelling notation, taxonomy design, and hierarchy management
GS1 standards, GDSN, and retailer or marketplace content requirements
Data quality measurement and governance frameworks
Diversity, Equity & Inclusion
To achieve the best version of our organization, we know it takes new ideas, new approaches, new perspectives and new ways of thinking. A purpose we are 100% committed to cultivating. Diversity is woven into our fabric at Syndigo and it’s how we stay an industry leader, innovating technology solutions that equip our customers with everything they need to be successful!
All are welcome here and we invite you to join our team if you are ready to help us continue that growth!
GDPR/CCPA
Syndigo, to process applications, holds onto data for a "reasonable time" after applications are submitted. This data is stored for Syndigo's internal use by HR/Recruiting Staff only. Verified requests for data deletion and exports will be completed upon request.
Syndigo Job Applicant Privacy Notice
At Syndigo, we care about your privacy. As you go through our recruitment process, we are committed to being transparent about how we process your personal data. To learn more about how Syndigo processes your personal data, go to our Job Applicant Privacy Notice.
