Top Tech Jobs & Startup Jobs

Leads and mentors data and AI engineers while designing scalable cloud data platforms, batch and real-time pipelines, data models, governance, and analytics solutions. Owns architecture, development, deployment, reliability, observability, CI/CD, production support, and continuous improvement. Partners with stakeholders to translate business needs into secure, maintainable technical solutions and provides hands-on technical leadership across the full delivery lifecycle.

Designs and manages cybersecurity reporting solutions, including dashboards, scorecards, visualizations, and ad hoc analyses. Partners with stakeholders to define requirements, validate data quality, optimize reporting performance, and communicate security insights. Establishes visualization standards, documentation, and reusable reporting assets while supporting reporting operations, automation, continuous improvement, and team mentoring.

Leads a multidisciplinary team delivering cybersecurity metrics, scorecards, visualizations, and dashboards. Owns UI and interaction design, prototyping, data requirements, dashboard engineering, accessibility, testing, release operations, metric governance, and reporting reliability. Partners with product, data engineering, security, risk, audit, and executive stakeholders to translate security and risk concepts into actionable insights, ensure data integrity, improve adoption, and maintain compliant reporting products.

Develops cybersecurity dashboards, reports, scorecards, and visualizations that communicate attack readiness, security posture, risks, and remediation priorities. Partners with security, technology, risk, and business stakeholders to translate requirements into analytical solutions. Performs data analysis, quality validation, reporting automation, dashboard maintenance, and process improvement while presenting insights to technical and executive audiences. Also supports documentation, training, and knowledge sharing.

Conduct advanced AI research in LLMs, agentic AI, reinforcement learning, knowledge graphs, generative AI, and responsible AI. Develop, evaluate, deploy, and maintain machine learning solutions, publish research, and productize findings for financial applications. Collaborate with scientists, engineers, product managers, and business stakeholders to identify opportunities, translate requirements into analytical approaches, and deliver innovative solutions that improve client experiences and business decision-making.

Advise ultra-high-net-worth clients on advanced estate planning, income tax, and financial planning. Analyze client documents, create deliverables, collaborate with advisors, mentor colleagues, contribute thought leadership, improve processes, ensure compliance, support projects, and travel for training and client meetings.

Leads Vanguard’s advisor onboarding and development strategy across Personal Advisor Services and Wealth Management. Builds scalable learning pathways, training, coaching, readiness standards, certifications, and performance measures from entry-level through senior advisor roles. Develops advisor capabilities in financial planning, relationship management, consultative sales, investment philosophy, products, and practice management. Leads trainers, coaches, and instructional designers while partnering with HR, Compliance, Risk, Product, and Technology.

Build AI-powered digital twins that simulate customer behavior and decision-making. Lead data science and AI initiatives involving LLMs, RAG, agentic systems, experimentation, validation, and performance measurement. Apply behavioral science, UX research, and marketing analytics to develop human-centered models. Partner cross-functionally to translate business problems into scalable solutions, communicate recommendations, and mentor junior team members.

Serve as the first point of contact for prospective and existing Vanguard clients. Promote investment products and services, uncover client needs, and recommend suitable retirement, brokerage, and investment solutions. Build client relationships, communicate effectively across digital channels, solve problems, manage time, and collaborate with sales teams. The role includes structured training, coaching, and opportunities for advancement into higher-level sales positions.

Designs, develops, tests, deploys, and supports front-office applications and databases. Provides expert system analysis, architecture, application performance optimization, security compliance, and production support. Collaborates with portfolio managers, product owners, and cross-functional teams; evaluates build-versus-buy options; mentors engineers; resolves escalated issues; and recommends enterprise-wide improvements. The role requires full-stack expertise across frontend frameworks, Java-based backend services, cloud platforms, databases, CI/CD, and automated testing, plus an understanding of investment products and trading workflows.