Top Tech Jobs & Startup Jobs

Processes and maintains global investment data, ensuring accuracy, completeness, coverage, and timely delivery. Collaborates with global data teams, fund companies, and internal clients; manages data acquisition relationships and issue resolution. Develops analytical tools, improves procedures, documents use cases, and translates client requests into specifications and user stories. The role requires fluent English and French, financial industry knowledge, strong organizational skills, and proficiency in Microsoft Excel.

Create and optimize investing content across social media, newsletters, video, and visual formats. Develop graphics, carousels, charts, scripts, newsletter content, and on-camera videos; translate complex financial topics for individual investors; identify high-potential stories; use audience performance data to improve content; and collaborate with editorial, design, video, research, and corporate social teams while maintaining editorial accuracy and consistency.

Produces and technically operates corporate, executive, hybrid, webinar, and livestreamed events. Responsibilities include event planning, rehearsals, show calling, AV and broadcast system operation, troubleshooting, production documentation, presenter coaching, vendor and crew coordination, live incident management, equipment maintenance, and post-event wrap-up. The role requires onsite support in Chicago, occasional travel, flexible scheduling, and expertise with Microsoft Teams, Zoom, vMix, broadcast systems, networking, audio, video, lighting, and streaming technologies.

Leads multiple structured finance credit operations teams supporting ABS, RMBS, CMBS, and cashflow modeling workflows. Manages 30+ analysts and people leaders while driving quality, governance, resource planning, hiring, process transitions, automation, technology adoption, regulatory compliance, stakeholder alignment, and talent development across global operations.

Lead product marketing for Morningstar Direct’s reporting solutions, including positioning, messaging, go-to-market launches, sales enablement, competitive intelligence, client adoption, and demand programs. Partner with product, UX, sales, campaign marketing, and client success teams to translate reporting capabilities into customer value. Conduct market research and win-loss analysis, develop sales plays and content, and measure performance through campaign, adoption, revenue, and client outcome metrics.

Build and operate production AI applications and shared platform capabilities using AWS Bedrock and Python. Develop AI agents, MCP servers, APIs, and distributed services; integrate AI into existing applications; evaluate retrieval, tool-use, orchestration, and model-performance approaches; and ensure reliability, security, testing, observability, and maintainability. Partner with technical and business stakeholders to identify workflow improvements, influence architecture and engineering standards, support delivery planning, and mentor less experienced engineers.

Analyze sales performance, pipeline health, forecasting, conversion, territories, and revenue drivers. Build dashboards, reports, and scorecards; audit CRM data quality; define sales metrics; and translate complex datasets into actionable recommendations. Partner with sales leadership, Finance, Marketing, and Customer Success on planning, pipeline visibility, quota analysis, segmentation, and productivity improvements.

Leads the Direct Platform architecture function and defines its long-term technology vision. Oversees enterprise architecture standards, cloud and platform strategy, modernization roadmaps, governance, technical debt reduction, scalability, resiliency, and operational excellence. Partners with executive, Product, Engineering, Data, Security, and Infrastructure leaders on strategic investments and emerging technologies. Manages approximately six architects, develops architecture capabilities, and remains hands-on in designing and governing complex platform solutions.

Leads Morningstar’s global data acquisition and operations organization of approximately 700 employees. Oversees investment, reference, and market data collection, enrichment, quality, and delivery while modernizing platforms, workflows, and operating models. Drives automation, AI adoption, governance, regulatory compliance, performance improvement, and technology transformation. Partners with Product, Engineering, Research, Data Strategy, Risk, and Commercial leadership to execute the data acquisition roadmap and build scalable, efficient operations.

Build and operate applied AI systems, including LLM integrations, agentic workflows, data pipelines, evaluation frameworks, MCP tools, APIs, and governed content-serving layers. The role emphasizes production reliability, provenance, security, cost and latency management, regression detection, and human-reviewed AI outputs. Responsibilities include cloud deployment, structured content modeling, telemetry, governance, mentoring, and collaboration on AI standards. Strong Python, TypeScript, AWS, API, data pipeline, and production LLM experience are required.