To qualify for the role you must have: A bachelors degree and approximately 5 years of related work experience; or a graduate degree and approximately 4 years of related work experience Your degree should be in computer science, engineering, accounting, finance or a related field; MBA or MS degree preferred A minimum of 5+ years of experience working at a financial services company or comparable experience working as an advisor to a financial services company Experience working in a Hedge Fund, Wealth/Asset Management company or as a Management Consultant in one of these companies 5+ years of hands-on Charles River (CRD/CRIMS) experience Demonstrated experience leading and supporting SaaS migrations, including transition from on-premise environments to cloud-hosted solutions Demonated ability to manage and supervise a team of technology advisors through all phases of the technology life cycle, including requirements definition, architecture, design, development, implementation, conversion and testing Strong communication, presentation, client service and technical writing skills Comfortable researching client inquiries and emerging issues, including regulations, industry practices, and new technologies Strong experience in supervising and executing all phases of the technology life cycle, based on proven project management and testing methodologies Must possess a deep knowledge of technical architecture design and have a good understanding of technology tools and components to reasonably argue for and against all components (middleware, database, reporting tools, etc.) in financial systems architecture Willingness and ability to travel, you must hold a passport and a valid drivers license Experience in the following areas: Charles River (CRD) SaaS Migration, SQL, Definition and design of business and technical requirements, System design, selection and implementation support, Data mapping and conversion, Proof of concept, Quality assurance and testing, Business and IT process reengineering, Program/project management and implementation planning (PMO), Management reporting enhancement, Enterprise application integration, Custom development, Package Implementation, Reconciliation redesign or improvement. Key Responsibilities Lead multiple CRD implementation and enhancement projects end-to-end, from requirements through deployment and stabilization Lead Saas migration activities including environment readiness, data migration, regression testing and coordinating with infrastructure teams Define the CRD roadmap, prioritizing initiatives that improve efficiency, data quality and compliance Drive and oversee CRD platform configuration, compliance rule setup, workflows, and integration points across modules Design and validate CRD integrations with IBOR, data warehouses, performance, risk and accounting systems Ensure seamless data flows through CRD data loader, FIX connectivity, SDK, APIs and other integration tools maintaining reliability and performance across environments Partner with data management teams to design and maintain CRDs ADP and EDM integrations Manage reference data, pricing, and security master integration to support accurate instrument setup, validation and testing Lead and coordinate system upgrades, regression testing and configuration migrations across environments (DEV, UAT, PROD) Establish data governance and quality control framework with CRD, ensuring consistency across upstream and downstream systems Leverage SQL and data analysis tools to validate data, support investigations and deliver actionable insights to stakeholders Manage a team of business analysts, providing mentorship, technical guidance and professional development opportunities Lead cross-functional communication between front, middle and back-office teams, translating complex technical topics into clear business language Promote best practices in system configuration, change management and delivery methodology ensuring consistent project execution across teams Stay current on CRD product enhancements, new modules and industry trends to proactively identify opportunities for system improvement and automation.