Top Senior Level Jobs

Edits and quality-controls complex technical reports, research communications, presentations, manuals, web content, and other federal deliverables. Responsibilities include substantive editing, proofreading, fact and reference checking, style-guide application, accessibility review, permissions and copyright verification, formatting, version control, and final publication-readiness checks. The role coordinates with researchers, subject matter experts, project managers, legal reviewers, clients, and federal stakeholders while managing multiple review cycles and tight deadlines.

Manages operational relationships with banks, broker-dealers, and wirehouses. Serves as the primary contact for escalations, technology needs, onboarding, product launches, and operational initiatives. Collaborates with internal teams and sales account managers to resolve issues, improve processes, enhance service delivery, and support strategic decisions. Educates distribution partners on procedures and service goals while maintaining industry relationships. Travel to partner locations or conferences is required at 10% or less.

Manage domestic transportation, 3PL relationships, and inventory movement across multiple warehouses. Coordinate TL/LTL/parcel shipments, monitor freight costs and KPIs, negotiate rates, resolve shipment exceptions, support ERP/logistics enhancements, and recommend process improvements to increase service levels and reduce costs.

Lead design and governance of enterprise ServiceNow architectures, define integrations and upgrade strategies, enable AI-powered workflows, coach developers, conduct design reviews, and drive platform standards to improve employee digital experience.

Leads clinical data science initiatives supporting clinical trial analysis and strategic decision-making. Responsibilities include designing data science strategies, identifying analytical requirements, overseeing statistical models and tools, mentoring team members, and communicating insights through reports and presentations. Requires clinical research data analysis experience, statistical software and visualization expertise, strong analytical and leadership skills, and approximately 15% travel.

Designs, deploys, tunes, monitors, and maintains enterprise security technologies including DLP, SIEM, endpoint, cloud, network, and data security solutions. Develops detection rules and policies using threat intelligence and incident data, supports incident response, conducts risk assessments, evaluates security tools, and prepares technical standards and implementation plans. The role also partners with leadership and stakeholders on security initiatives, infrastructure protection, documentation, and compliance with security frameworks.

Two-year Associate role on the U.S. Senior Loans team participating in transaction execution and portfolio management. Responsibilities include detailed financial modeling, quantitative and qualitative analysis, industry due diligence, deal structuring and documentation, negotiation support, and monitoring portfolio loan performance.

Develop and lead the AI strategy for vulnerability and exposure management. Build AI-enabled solutions, automation, integrations, predictive analytics, and risk-based prioritization across vulnerability, asset, threat, and configuration data. Support CTEM operations, improve remediation and patching outcomes, and influence security, infrastructure, engineering, and technology stakeholders to adopt transformed workflows and best practices.

Lead hardware/software integration and new vehicle bring-up programs for autonomous trucks. Partner with software, firmware, hardware engineering, product, operations, and industry partners to plan and deliver software for new hardware platforms from conception through on-road deployment. Facilitate executive reviews, manage risks and dependencies, remove execution obstacles, improve bring-up processes, and incorporate operational feedback into product and development improvements.

Own the strategy and execution of Trustly’s risk platform, including decisioning, model integration, rules management, and real-time controls. Partner with Data Science and Engineering on model thresholds, features, monitoring, architecture, and feedback loops. Optimize approval rates, loss exposure, and payment guarantee economics. Manage the backlog, sprint planning, requirements, acceptance criteria, and alignment across Risk, Engineering, Data Science, Finance, Legal, and Sales.