Top Tech Jobs & Startup Jobs

Manage a global portfolio of hybrid cloud, data center modernization, and AI platform initiatives. Establish governance, roadmaps, budgets, risk management, executive reporting, and cross-functional coordination across Engineering, Data, Security, and AI teams. Drive timely, high-quality delivery and adoption of scalable, secure, cost-effective infrastructure and AI/ML capabilities while promoting standards and continuous improvement.

Own private capital financial data operations, ensuring accurate, timely, and high-quality client data. Use AI-assisted extraction and validation tools, investigate exceptions, improve quality frameworks, automate workflows, and strengthen operational controls. Partner with Product, Engineering, Data Operations, and Client Service teams to improve processes and client outcomes. Mentor junior colleagues, analyze KPIs, communicate insights, and drive continuous improvement across AI-enabled financial data operations.

Leads MSCI’s Analytics Sales business across DACH, owning regional revenue targets, pipeline development, forecasting, and complex consultative sales. Manages and develops sales and analytics consulting teams while building senior relationships across asset managers, asset owners, hedge funds, banks, insurers, and wealth managers. Partners with product, research, marketing, and consulting teams to translate client needs into commercial growth and inform regional strategy and product positioning.

Supports MSCI Sustainability and Climate data product distribution across Snowflake, feeds, MCP, and portals. Enhances AI readiness through data quality, metadata enrichment, standardization, catalog development, and workflow improvements. Assists with sustainability data projects, client communications, and cross-functional coordination among Product, Research, Engineering, and Client Support teams.

Develop and productionize AI and data science applications using machine learning, NLP, GenAI, LLMs, RAG, and agentic AI. Build scalable enterprise solutions with LangChain and LangGraph, integrate AI services into platforms, and implement testing, CI/CD, monitoring, governance, security, and responsible AI controls. Collaborate with product, engineering, data operations, infrastructure, risk, legal, compliance, and information security teams.

Develop and deploy AI, machine learning, NLP, generative AI, agentic AI, and anomaly detection solutions that improve data quality across internal and client-facing platforms. Build data science applications, integrate AI services, collaborate with product, QA, data operations, and infrastructure teams, and ensure scalable, reliable production systems. The role also involves cloud solutions, DevOps practices, and advancing MSCI’s AI adoption.

Develop and support highly available, data-intensive Corporate Events and Index Dividends platforms. The role focuses on backend development with Java, Spring, and Oracle, including system design, testing, deployment, complex data processing, and ongoing support. The developer will help modernize platforms, collaborate with technical and business stakeholders, and may contribute to frontend development using React, AG Grid, and TypeScript. Financial knowledge of equity and asset-class reference data is important.

Manage client onboarding and investment-data integration projects for MSCI’s Total Plan platform. Develop project plans, define scope and deliverables, coordinate internal and client stakeholders, communicate status, identify risks, manage mitigation strategies, and document project outcomes. The role requires strong financial-industry knowledge, project management expertise, organization, communication, multitasking, and the ability to quickly learn technical processes and product capabilities.

Manages client implementation projects from initiation through transition to operational service. Responsibilities include developing project plans and solution definitions, configuring client workflows, coordinating internal and external resources, establishing milestones, resolving issues, communicating risks and status, and presenting implementation services during sales and contract negotiations. The role requires financial products knowledge, portfolio and risk management understanding, technology familiarity, client-facing financial services experience, and project management expertise.

Owns Private Assets P&L close, forecasting, budgeting, variance analysis, investment and business-case modeling, scenario planning, and ROI tracking. Partners with accounting and senior stakeholders, prepares leadership and board materials, improves reporting and planning processes, and mentors junior team members. The role supports globally distributed teams across time zones and requires strong financial modeling, communication, and business-partnering skills.