Top Tech Jobs & Startup Jobs

The Data Privacy Analyst ensures compliance with privacy laws, performs risk assessments, provides oversight for privacy policies, monitors emerging privacy risks, and engages with business leaders to mitigate privacy incidents.

Serve as senior risk advisor for digital, data and AI initiatives within Financial Advisor Services. Identify, assess and communicate strategic risks, challenge Line 1 risk activities, embed risk into product and platform decisions, lead a team of risk practitioners, produce independent risk reporting, and influence senior executives on data governance, model risk, third-party dependencies, cyber resilience, and regulatory developments.

Serve as senior risk advisor for investment products, portfolio solutions and advisor offerings. Identify, assess, and monitor product and strategic risks; provide independent challenge on new product development and distribution; lead a team of risk practitioners; produce risk reporting and enterprise insights; embed division-specific risk guidance into strategy and execution; partner with stakeholders across enterprise risk, legal, compliance, and business leadership.

The role involves strategic engineering support for projects, governance of commissioning programs, facility management support, and sustainability initiatives. Responsibilities include project requirements development, design review, and coordination with operations for project turnover.

The Lead Solutions Architect will drive the architecture of the marketing technology ecosystem, ensuring solutions support customer engagement and business strategy while guiding technical teams and evaluating new technologies.

Consults on compensation strategies, oversees budget analysis, manages job evaluations, and ensures regulatory compliance while coaching analysts and participating in projects.

Partner with product, operations, and leadership to develop end-to-end predictive and prescriptive models. Frame ambiguous business problems, perform feature engineering and validation, deploy and monitor models in production, design human-facing outputs, run experiments/causal analyses, and use modern AI/LLM tools responsibly. Communicate insights to influence decisions and help grow Vanguard's analytics practice.

Execute data science projects: build and validate models, wrangle large-scale data, run experiments, assist production deployments, and communicate results to technical and non-technical stakeholders while learning AI-native practices.

Lead product management for investment-analytics technology products: define features, analyze data, identify new data sources, collaborate with IT and stakeholders, coach teams, resolve production issues, and support strategic planning and special projects.

Lead advanced AI research (Generative AI, Agentic AI, cognitive architectures, LLMs, call transcription); develop new algorithms and prototypes; transition research to production with engineering teams; publish and present at top-tier conferences; mentor junior researchers; align research with business needs and Responsible AI principles.