Top Tech Jobs & Startup Jobs

Leads enterprise data governance and regulatory technology programs involving data catalogs, lineage, entitlements, quality, metadata, and data contracts. Owns intake prioritization, roadmap delivery, agile coordination, executive governance reporting, audit-ready controls, and platform adoption. Partners with engineering teams and senior data leaders to advance data mesh, data product, self-service, and domain-driven ownership strategies.

Supports Private Client Advisors by handling account openings, money movement, investment trades, client requests, relationship management, account reviews, performance reporting, lead generation, wealth-planning assistance, risk management, and compliance documentation. The role requires prioritizing operational work, resolving issues, maintaining accurate records, meeting deadlines, and helping deepen client relationships through firm services.

Designs, builds, and operates global remote access infrastructure for virtual desktops and applications. Owns reference architecture, configuration standards, capacity planning, regional resiliency, failover, security hardening, certificate and authentication services, automation, and validation. Partners with networking, identity, security, and data center teams while applying AI-assisted engineering practices with strong validation, auditability, and data-sensitivity controls.

Leads development of secure, scalable Python backend and AWS cloud-native applications using microservices, serverless, containers, and infrastructure as code. Designs distributed systems, APIs, data stores, CI/CD pipelines, observability, resiliency, and security controls. Troubleshoots production incidents, conducts root-cause analysis, optimizes performance, modernizes dependencies, promotes AI-assisted engineering practices, and mentors team members while collaborating with product, platform, SRE, security, and data teams.

Lead a wealth management data science team delivering advanced analytics, machine learning, and AI solutions. Analyze client behavior, risk, pricing elasticity, product sales, forecasting, and money movement to improve client outcomes and business decisions. Partner with product, strategy, operations, and senior stakeholders to frame problems, define success metrics, recommend actions, and build scalable analytical capabilities. Manage and develop team members while identifying opportunities to apply AI and agentic tools.

Lead complex payments technology programs from planning through delivery. Manage technical requirements, resources, budgets, schedules, risks, issues, and dependencies while coordinating engineering, product, business, and executive stakeholders. Drive agile practices, continuous improvement, governance, and data-informed optimization. Apply enterprise-authorized AI to planning and reporting with careful validation and data-sensitivity controls. Ensure technology initiatives align with firm objectives and maintain delivery momentum through proactive risk mitigation.

Leads the design, experimentation, productionization, and optimization of machine learning, deep learning, generative AI, LLM, and agentic systems. Develops Python-based proofs of concept and production solutions, evaluates and tunes models, integrates generative AI into ML platforms, improves system performance, and partners with product and engineering teams. Acts as an ML subject matter expert while mentoring practitioners and influencing product and technical decisions.

Leads mainframe infrastructure engineering for enterprise storage platforms. Responsibilities include DASD and tape volume management, SMS and ACS administration, catalog and HSM reorganization, storage troubleshooting, audit and security support, disaster recovery, replication, root-cause analysis, SLA compliance, and 24x7 on-call coverage. The role also promotes responsible AI-assisted engineering, automation, tooling, documentation, and team adoption of secure development practices.

Provides client service, operational, and administrative support to Private Client Advisors. Responsibilities include account opening, money movement, investment trades, issue resolution, relationship management, wealth-planning assistance, account reviews, performance reporting, lead generation, risk management, Know Your Customer procedures, and compliance documentation.

Supports Private Client Advisors by handling account opening, money movement, trades, client requests, relationship reviews, performance reporting, lead generation, wealth-planning assistance, risk management, and compliance documentation. The role also resolves client issues, promotes firm services, tracks operational work, meets deadlines, and maintains strong client and team relationships.