Top Tech Jobs & Startup Jobs

Lead a team performing strategic and competitive analyses to inform divisional strategy. Develop actionable recommendations, synthesize complex data into presentations and white papers, manage stakeholder relationships, and support departmental planning and special projects.

The role involves designing, engineering, and supporting CMDB functionalities within ServiceNow, enhancing platform reliability, and collaborating with various teams for effective implementations.

This role involves managing and analyzing data, creating visualizations, leading projects, collaborating with cross-functional teams, and communicating insights to stakeholders.

Provide operational support for CMDB processes, maintain ServiceNow Discovery, monitor data flows, and manage tool integrations while collaborating with various teams.

The role involves administering CMDB data, ensuring governance compliance, developing reports, collaborating on platform processes, and supporting AI-related governance initiatives.

Provide independent, second-line technology risk oversight for business-aligned IT teams. Advise on architecture and delivery, conduct risk assessments, monitor emerging threats, strengthen controls and third-party/AI risk practices, and influence risk strategy and senior leaders.

Lead and grow engineering teams building cloud-native, microservices-based portfolio construction platforms on AWS. Hire, mentor, plan delivery, approve technical solutions, ensure performance, and liaise with stakeholders to deliver high-quality, secure, and compliant software.

Lead and coach a team of Financial Consultants to drive sales, generate high-value client leads, and improve advisor consultations. Participate in sales activities, manage a limited book of business, partner with stakeholders, analyze client feedback and market trends, resolve complex client issues, and support departmental initiatives.

Lead platform development, maintenance, and support across enterprise systems. Manage and develop technical teams, resolve complex platform issues, implement infrastructure projects, set technical standards, oversee vendor products, and collaborate with stakeholders to ensure effective technology deployment and continuous service improvement.

Partner with business stakeholders to identify high-value AI use cases and deliver agentic AI and LLM solutions. Architect multi-agent and tool-augmented LLM systems, ensure scalability, security, explainability, and governance. Collaborate with engineering to deploy production-grade solutions, implement evaluation/monitoring and guardrails, and act as an enterprise AI advisor while mentoring peers and contributing AI best practices.