A career with Goldman Sachs is an opportunity to help clients across the globe realize their potential, while you discover your own. As part of one of the world’s leading asset managers with over $3+ trillion in assets under supervision, you can expect to participate in exciting investment opportunities while collaborating with talented colleagues from all asset classes and regions and building meaningful relationships with your clients. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As primary investment area within Goldman Sachs, we provide investment and advisory services for pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals. As the Client Workflow & Reference Data Lead Engineer, you will be responsible for designing, managing, and supporting key client onboarding platforms utilized by asset management clients. Your responsibilities will include leading the architecture and design of next-generation client onboarding and associated workflow systems, overseeing and supporting critical platforms leveraged by asset management clients, and managing a team of engineers while providing technical guidance and mentorship. You will serve as the subject matter expert for business relationships and stakeholder engagement, ensuring robust support and continuous improvement of existing client workflow and reference data systems. This role combines technical architecture expertise with leadership responsibilities, requiring both deep technical knowledge and strong stakeholder management skills to drive the evolution of client onboarding capabilities, with core focus areas including platform development and enhancement, workflow system optimization and automation, reference data management and governance, cross-functional collaboration with business stakeholders, and technical leadership and team development.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees