Lead MDM Analyst -Developer

Responsibilities

• Configure and support the Profisee MDM platform
• Translate business requirements into MDM rules, models, and workflows
• Contribute to and often own Solution Design Documents for data domains
• Design and implement Match/merge and survivorship rules, Golden record validation rules, Data stewardship workflows and approvals
• Develop and maintain master and reference data models, hierarchies, and crosswalks in alignment with Data Architecture standards
• Support onboarding and mastering of domains such as Client, Financial Professional (Advisor), Account, Investment Securities, and Reference Data
• Work with Data Owners, SMEs, and Data Stewards to define: Business rules, Data quality rules, Glossary definitions and governance processes
• Support data integration, migration, and synchronization between systems
• Participate in design, development, QA, and UAT testing cycles
• Troubleshoot data quality issues and improve upstream data processes
• Ensure alignment to enterprise MDM standards, architecture, and operating model
• Partner across Data Architecture, Data Quality, and Data Governance (Data Trust) teams
• Collaborate closely with business SMEs, Data Owners, and Data Stewards
• Contribute across the full lifecycle of MDM delivery—from design through production support
• Help establish repeatable, scalable MDM processes and patterns

Qualifications

• 8+ years of experience working in data management, business systems, data integration, enterprise applications, or related technology disciplines, with progressive responsibility across business and technical domains.
• 3+ years of hands-on Master Data Management (MDM) experience implementing, configuring, supporting, or enhancing enterprise MDM solutions.
• 3+ years of hands-on Profisee experience configuring and administering the Profisee platform, including entities, hierarchies, match/merge rules, survivorship logic, workflows, crosswalks, security, and stewardship processes.
• DAMA Certified Data Management Professional (CDMP), DCAM, or equivalent data management certification preferred.
• Relevant cloud, data platform, architecture, governance, or integration certifications are a plus; Snowflake and Databricks API integration and customization (SOAP, REST, Java) experience a plus.
• Strong SQL skills and data analysis experience
• Ability to translate business requirements into technical solutions

Preferred Qualifications

• Profisee Certified Professional certification strongly preferred.
• Bachelor's degree in Computer Science, Information Systems, Data Management, Business Information Systems, Engineering, Mathematics, or a related field; or equivalent combination of education and professional experience.
• Financial Services / Wealth Management experience
• Exposure to Data Governance / Data Stewardship programs; Data Quality and Metadata
• Experience with data technologies, APIs, or Power BI
• Agile delivery experience
• Familiarity with Data Mesh, Data Fabric, and Lakehouse architectures
• Experience supporting AI, machine learning, and advanced analytics initiatives