Jobs at AlixPartners

Manage eDiscovery projects across preservation, collection, processing, review, and production. Establish protocols, organize and verify case data, advise clients on document retention and chain of custody, manage large datasets, perform quality control, resolve technical challenges, prepare reports and presentations, participate in client meetings, and train professional staff.

Leads eDiscovery project management and client engagements across the electronic discovery lifecycle, including data preservation, collection, processing, review, production, quality control, and reporting. Advises clients on litigation data strategies, manages large datasets, develops protocols, resolves technical and operational challenges, and coordinates with forensic accounting and legal teams. The role requires strong project management, technical proficiency with eDiscovery platforms, client-facing communication, and flexibility for occasional travel and work outside standard hours.

Paid part-time intern supporting alumni engagement through database maintenance, event materials, alumni research, online community content, newsletters, social media, offboarding support, and KPI reporting. The role offers experience in marketing communications, events, content creation, platform management, and data analysis within a hybrid New York office environment.

Conduct market, competitor, financial, and industry research for the Technology, Media, and Telecommunications practice. Identify prospects, support business development proposals, provide account intelligence, and translate quantitative and qualitative analysis into actionable insights. The role also supports AI-powered research tools and workflows, collaborates with senior leaders, and delivers executive-ready communications in a fast-paced consulting environment.

Leads the Americas Business Intelligence Center, managing research leaders and delivering market, competitor, industry, company, and financial intelligence for business development and client delivery. Partners with senior stakeholders, oversees research quality and commercial support, drives responsible generative AI adoption, improves workflows and reporting, manages research vendors and subscriptions, and develops a high-performing team.

Support deployment, operation, and improvement of AI-enabled platforms and cloud services (primarily Azure). Implement GitHub-based GitOps CI/CD, author Terraform and IaC, operate containerized workloads, provide 24x7 production support, ensure security/compliance, optimize performance/cost, and maintain platform documentation and runbooks.

Build and operate an AI-native platform spanning Kubernetes, infrastructure as code, CI/CD, identity, networking, security, compliance, observability, and cost management. Develop reusable platform modules, delivery pipelines, policy gates, isolated client environments, and AI development tooling. Lead through hands-on engineering, architecture decisions, design reviews, migrations, documentation, and developer enablement while ensuring reliability, security, and measurable developer outcomes.

MBA interns analyze corporate performance, business models, cost reduction, revenue growth, and profitability opportunities in high-impact client situations. They research industry trends, synthesize qualitative and quantitative data, conduct research and client interviews, develop fact-based strategic recommendations, create presentation materials, and guide analysts as needed. The role involves collaborative client work, extensive travel, and occasional work outside normal business hours.

Lead high-stakes client engagements to improve performance, drive cost reductions and revenue growth, structure and deliver measurable results, develop business, mentor teams, and produce client-ready analyses and presentations in fast-paced environments.

Lead AI/ML consulting engagements: design and implement ETL, data modeling, predictive models, anomaly detection, distributed data pipelines, and executive-ready visualizations. Drive business development, mentor teams, and deliver client-facing solutions in hybrid/onsite environments.

Lead high-value, complex consulting engagements to improve corporate performance, drive cost reduction, revenue growth and profitability. Manage and deliver client-facing workstreams, synthesize analysis, develop client-ready presentations, lead negotiations, mitigate project risks, and support proposal development while mentoring teams and fostering stakeholder relationships in fast-paced, hybrid environments.

Lead AI/ML consulting engagements, build and deploy machine learning models and ETL pipelines, analyze large datasets, design data architectures, deliver visualizations, drive business development, and manage client-facing teams in high-stakes situations.