Top Tech Jobs & Startup Jobs

Lead enterprise architecture efforts by defining and implementing scalable, high-performance solutions and standards. Advise senior management, design microservices and web-based n-tier applications, optimize technology assets, ensure compliance with architectural methodologies, and oversee architecture activities across the organization.

Lead production and reporting of strategic metrics and BI solutions. Design and maintain dashboards, reports, ETL, and data integrations; analyze trends; partner with stakeholders to define measurement plans and improve processes; oversee Snowflake and relational database implementations for enterprise financial reporting.

The Cloud Support Engineer will optimize cloud infrastructure in accordance with FedRAMP controls, manage identity and access systems, support incident response, and ensure compliance with data protection standards, among other responsibilities.

The role involves supporting financial analysis, reporting, forecasting, planning, and management reporting for the Investments & Wealth business, while collaborating with stakeholders to enhance workflows and reporting processes.

The Cloud Support Engineer will optimize cloud infrastructure, manage identity and access mechanisms, respond to incidents, and ensure data compliance with FedRAMP High controls.

The Senior Vice President, Client Processing Manager will manage client processing teams, oversee complex client account operations, enhance client satisfaction, and implement process improvements.

Responsible for day-to-day operations of the Azure Kubernetes Service platform, troubleshooting application issues, and monitoring platform alerts.

Lead delivery of Product/Platform technology by managing analysis, design, development, testing, releases, and production support. Coordinate cross-pod technical dependencies, vendor assessments, KPI tracking, and adoption of best practices and new technologies. Provide technical guidance to engineers and Product Owners, oversee resiliency and automation efforts, and ensure on-time delivery and code quality across teams.

Lead enterprise talent strategy to embed a skills-driven approach across the firm. Design scalable frameworks, assessment and promotion processes, and governance. Partner with business and People leaders to improve talent visibility, succession planning, and leadership readiness.

Work with internal and external datasets and client reference data to support statistical, financial, and econometric model development. Prepare standard and ad hoc reports, perform data management, run models, identify exceptions, and take corrective actions while providing analytical support under general guidance.