> Markdown version of [/jobs/ext/3318872-manager-data-management-implementation](https://www.wearedevelopers.com/jobs/ext/3318872-manager-data-management-implementation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager - Data Management Implementation - **Company:** Cutter Associates, LLC - **Location:** United States (Remote available) - **Contract:** Temporary contract - **Skills:** Customer Data Management, Data Governance, Data Vault Modeling, Metadata, Meta-Data Management, Reference Data, Enterprise Data Management, Test Scripts, Build Management, Data Management, Data Pipelines - **Published:** September 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5a4691ab94fd8af8 ## About the Role * Growth-focused - From client exposure and internal knowledge groups to tailored learning paths, we invest in your development from day one., * Experienced consultant with hands-on experience implementing investment data management platforms. * Experience with BNY Eagle Reference Data Center (RDC), Eagle Data Vault , or comparable platforms such as Arcesium, GoldenSource, Rimes, Markit EDM, SimCorp, or Bloomberg Data Management solutions . * Strong understanding of reference/master data, investment data pipelines, data quality, metadata, and governance. * Experience working within or closely alongside an asset manager or institutional investor's data management function. * Ability to translate business and data requirements into clear technical and process documentation. ## Description We are seeking an experienced Data Management Implementation Manager to support a client's data platform implementation. This role will work closely with the client's data management team and enterprise architect to define requirements, document the target-state solution, support implementation decisions, and ensure data quality and governance requirements are effectively incorporated into the platform., * Gather and document business, data, and functional requirements. * Develop process flows, data pipelines, architecture documentation, and decision-support materials. * Develop and execute test scripts across the implementation lifecycle. * Design and build data quality rules and validation logic. * Support data governance, metadata management, and data cataloging activities. * Partner with the project's enterprise architect on solution design and implementation. * Work closely with business, technology, and data management stakeholders throughout the implementation.