<p>We are supporting our client in hiring a Product Data Engineer who will take full ownership of their product information environment. This role centers on managing their PIM solution (Salsify), improving data structures, and building automated, API‑driven integrations that ensure product data is clean, scalable, and synchronized across platforms.</p><p>This position will be deeply involved in a major product‑data overhaul, including cleanup, restructuring, and long‑term system improvements. The ideal candidate is someone who enjoys solving data problems, building automated workflows, and improving the reliability of product information across systems.</p><p><br></p><p> Key Responsibilities</p><p>Product Data Platform Ownership</p><ul><li>Act as the primary administrator for the PIM platform</li><li>Define and maintain product attributes, hierarchies, and data relationships</li><li>Create validation rules, formulas, and workflows to enforce data standards</li><li>Manage permissions, governance, and platform configuration</li><li>Troubleshoot issues related to imports, exports, and publishing</li></ul><p>Integrations & Automation</p><ul><li>Manage integrations between the PIM and internal/external systems (eCommerce, retail, etc.)</li><li>Build and support API‑based data flows with a focus on reliability and scale</li><li>Develop automation using scripting (Python preferred)</li><li>Support event‑driven or automated pipelines to reduce manual work</li><li>Monitor integration performance and proactively resolve failures</li></ul><p>Product Data Improvements</p><ul><li>Contribute to a large‑scale product data cleanup and restructuring effort</li><li>Identify gaps in current data models and workflows</li><li>Partner with cross‑functional teams to define scalable data standards</li><li>Improve system design to support long‑term growth</li></ul><p>Channel Syndication</p><ul><li>Manage product data distribution to digital and retail channels</li><li>Ensure data meets channel‑specific requirements</li><li>Troubleshoot publishing issues and improve success rates</li><li>Support product launches and updates across channels</li></ul><p>Data Governance & Quality</p><ul><li>Establish naming conventions, validation rules, and governance standards</li><li>Define and track data quality KPIs (accuracy, completeness, timeliness)</li><li>Utilize or support data governance tools</li><li>Work with business teams to improve data accountability</li></ul><p>Reporting & Metrics</p><ul><li>Build dashboards and reports on data quality and system performance</li><li>Provide insights to leadership to support decision‑making</li><li>Track syndication outcomes and operational metrics</li></ul><p>Operational Support</p><ul><li>Handle day‑to‑day platform usage, enhancements, and issue resolution</li><li>Prioritize incoming requests and tickets</li><li>Ensure stability and reliability of product data operations</li></ul><p><br></p>
We are looking for a Data Analyst to join a Long-term Contract opportunity based in Memphis, Tennessee. In this role, you will help strengthen the accuracy, consistency, and reliability of customer and operational data across enterprise systems while supporting teams that rely on clean information for daily business activities. This position is well suited for someone who is analytical, highly detail-focused, and comfortable managing request-driven work while contributing to better data practices and long-term process improvements.<br><br>Responsibilities:<br>• Manage incoming data-related requests through a centralized ticket queue, ensuring timely follow-up and resolution.<br>• Update and maintain customer and operational records in enterprise systems with a strong focus on completeness, accuracy, and traceability.<br>• Examine source details before making changes and record updates clearly to support auditability and governance standards.<br>• Research data discrepancies that affect downstream functions such as reporting, pricing, order activity, or operational workflows, and drive issue resolution.<br>• Review current data handling procedures to identify recurring errors, process weaknesses, and opportunities to improve efficiency.<br>• Help create and refine process documentation and standard operating guidelines that promote consistent data management practices.<br>• Produce recurring reports and performance metrics related to data quality, service volumes, and issue trends for business stakeholders.<br>• Analyze exception findings and quality variances, including potential fraud-related patterns or compliance concerns, and summarize insights clearly.<br>• Partner with operations, finance, customer support, IT, and other internal groups to resolve complex data issues and improve user experience across systems.