Top Internships

Lead and conduct complex employee relations investigations, advise leaders and HR partners on conduct and performance issues, analyze trends, develop training and compliance programs, draft communications, and recommend fair, consistent resolutions to minimize legal and reputational risk across a global, matrixed organization.

Lead clients through digital product operating-model and agile transformations. Design target operating models, build playbooks, facilitate executive workshops, coach product teams, and operationalize tooling. Own workstreams end-to-end, synthesize insights into executive presentations, and develop client relationships.

The Manufacturing Supply Chain Technology Manager leads business development and project delivery in the manufacturing sector, focusing on Digital Manufacturing principles and managing client relationships.

The Data Science Manager will lead AI/ML solution development for clients in Supply Chain & Manufacturing, mentor data scientists, and drive business development efforts.

Manage client invoicing, purchase orders, and billing compliance. Track project financials, create and send invoices, support engagement setup and closeout, provide reporting, resolve billing issues with project teams and clients, and ensure timely collections and accurate time and expense recording.

Lead enterprise IT architecture and digital transformation for supply chain and manufacturing. Assess current-state environments, design cloud and data platform solutions, define integration patterns with ERP/MES/OT, deliver transformation roadmaps, lead cross-functional teams, communicate technical strategy to senior stakeholders, support business development, and mentor team members.

Design, develop, and deploy scalable LLM-based solutions (RAG, agentic workflows, PEFT). Lead architecture, implement cloud and DevOps best practices (AWS, Azure, Databricks, Terraform, Docker, Kubernetes), build prompt/response guardrails, collaborate cross-functionally, and manage full SDLC and production deployments.

The Senior Data Engineer will design and maintain data systems, build data pipelines, optimize ETL processes, and ensure data quality, collaborating with various teams to facilitate data-driven decision making.

Drive Executive Partnership and Strategic Initiatives within Corporate FP&A by providing executive decision support, leading strategic initiatives, financially enabling AI, and mobilizing cross-functional teams.

Manage projects and client relationships, drive business development, and motivate project teams while providing thought leadership and innovation.