Zuci Systems

Job description - MDM Solution architect Location - Hybrid - At least 3 days a week onsite in Erie, PA Role Summary: As the MDM solutions architect you will play a key role in enabling the MDM strategy for Erie insurance. Provide architectural guidance on MDM initiative, while managing multiple stakeholder priorities. Lead the multiple value streams encompassing MDM including but not limited to data quality, data governance and integration to upstream and downstream systems. Interpret business needs, assesses solution choices, apply technology, and provide project guidance within a long-term enterprise lens and create future-state architectures. Lead high level design sessions, capturing the results in artifacts, and ensuring the architectural design is realized through delivery for multiple enterprise stakeholders. Design and implement scalable, modern data architectures that ensure accuracy, consistency, and accessibility across the organization. Collaborate closely with data engineering, analytics, and business partners to align MDM initiative with enterprise goals and deliver trusted, high-quality data solutions that power decision-making. Collaborate with team members for technical validation during design and planning phases and monitor project execution and interpret architectural tradeoffs occurring during delivery. Experience & Skills • More than 15 years of experience in delivering enterprise solutions for large BFSI organizations • At least 8 years' experience in implementing enterprise data transformation programs • Proficiency with industry leading Master Data Management (MDM) tools such as Informatica MDM, Reltio, SAP MDG, or IBM InfoSphere and experience in leading end to end implementation • Proven experience architecting MDM solutions and participating in end-to-end implementation journeys at scale within major organizations. • Good program management experience including leveraging tools such as RAID, JIRA • Excellent communication and inter personal skills • Hands-on experience designing and implementing enterprise data architectures that promote data quality and consistency. • Strong understanding of data integration, governance, metadata management, and data stewardship principles • Experience with data modeling, APIs, ETL design, and modern cloud data platforms (AWS, Azure, or similar • Proven ability to collaborate across disciplines to define strategy and deliver scalable data solutions