Top Tech Jobs & Startup Jobs in Boston, MA

Work as a consulting intern on client teams performing research, data management, quantitative, strategic, and financial analyses. Participate in training, receive mentorship, network with leadership, and potentially work across Generalist, Banking, AI/Data, Technology Transformation, or Private Equity streams.

Lead regional execution of AI enablement: manage workflows, coaching, triage, experimentation, stakeholder coordination, and team development to drive adoption of firm AI products and scalable best practices.

Leads global growth and strategic initiatives across insurance, asset management, and actuarial businesses. Responsibilities include identifying and evaluating acquisition targets, coordinating due diligence, developing business cases, managing post-merger integration, and executing cross-functional strategic projects. The role partners with senior executives and corporate functions, tracks outcomes, resolves issues, and translates growth priorities into measurable results. It requires strong program management, analytical, communication, stakeholder management, and M&A capabilities.

Define Marsh DCX’s data and knowledge strategy, roadmap, governance, and operating model. Build reusable data and knowledge products from structured and unstructured enterprise information, embed analytics into workflows, and establish AI-ready standards for documents and knowledge assets. Partner with product, engineering, analytics, operations, governance, legal, and senior business leaders to shape search, retrieval, summarization, evaluation, and automation capabilities. Support ontology, semantic modeling, metadata, data quality, and AI enablement across complex regulated-industry environments.

Lead and manage client engagements in technology/software and private equity sectors, including commercial due diligence, strategy, and operational improvement. Drive business development, create thought leadership, mentor staff, and ensure on-time delivery. Serve as primary contact for senior clients and travel frequently for client work.

Lead complex strategy consulting engagements, structure business problems, oversee research and quantitative analysis, synthesize actionable recommendations, manage project workstreams, deliver client presentations, support implementation, collaborate with clients, and coach junior consultants across industries.

Lead complex energy and commodities strategy consulting engagements, advise senior client executives, manage client relationships and commercial processes, identify business opportunities, develop thought leadership, and mentor consultants. The role focuses on trading strategy, risk frameworks, operating models, and transformation across oil, gas/LNG, power, and related commodities. Candidates need deep industry expertise, quantitative knowledge of derivatives and risk measurement, strong analytical and communication skills, and executive presence.

Analyzes Medicaid pharmacy and financial data to identify efficiencies and support rate development. Presents models and findings, collaborates with project managers on scope, budgets, timelines, and deliverables, and communicates regularly with government clients. The role requires healthcare or pharmacy analysis experience, financial modeling or rate development expertise, advanced Excel skills, and strong communication. Medicaid, SAS, PBM, and drug compendia experience are preferred.

Leads energy commodity trading and risk consulting engagements, managing client relationships, complex programs, project delivery, and consulting teams. Advises senior executives on trading strategy, transformation, operating models, commercial optimization, and risk management. Responsibilities include developing hypotheses and insights, overseeing deliverables, supporting business development, creating thought leadership, coaching consultants, and contributing to firm-building activities.

Lead technical projects and design, build, and deploy production-quality AI/ML systems, pipelines, and LLM-based agent platforms. Explore data, develop AI solutions, advise partners on proposals, select appropriate modeling approaches, establish evaluation and observability frameworks, optimize system performance and cost, and guide proprietary AI/ML infrastructure development. Engage directly with clients across industries while promoting best practices, responsible AI governance, and robust engineering standards.