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ZS

Global management consulting for sales optimization

Business Technology Solutions Consultant Intern - University Students

Data EngineeringConfirmed live in the last 24 hours
InternshipNew York, NY, USANo salary listedHybrid

About the Job

Requirements

  • Candidates must be in their first year of a Master's degree (MBA preferred) specializing in Computer Science, Engineering, Business Analytics, Information Systems, or a related field, with a strong academic record.
  • Five or more years of consulting or technology delivery experience, including experience leading large-scale data, cloud, analytics, automation, or application implementations.
  • Proven ability to lead projects and teams, with strong project management, program management, problem-solving, and stakeholder-management capabilities expected of a project lead.
  • Ability to bridge domain and technology by understanding business or domain context and translating it into technology solutions.
  • Strong foundation in enterprise data engineering, including data modeling, extract, transform, and load (ETL) and extract, load, and transform (ELT), batch and streaming pipelines, data quality, orchestration, application programming interfaces (APIs), testing, and production operations.
  • Extensive experience with one or more major cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform.
  • Experience with modern data and analytics platforms such as Snowflake and Databricks.
  • Deep knowledge of enterprise data management, advanced analytics, process automation, application development, and systems integration.
  • Experience using artificial intelligence (AI) productivity tools and coding assistants to improve engineering throughput, code quality, testing, documentation, and problem resolution.
  • Ability to create reusable engineering assets such as skill packs, prompts, code templates, workflow components, validation rules, test suites, and delivery accelerators.
  • Good understanding of agentic AI concepts and frameworks, including planning and orchestration, tool use, context and memory, human-in-the-loop controls, evaluation, guardrails, and observability.
  • Understanding of an agent harness and how components such as instructions, context, tools, permissions, workflows, evaluations, and monitoring work together to enable reliable AI-assisted execution.
  • Strong communication skills to convey technical concepts, solution trade-offs, and recommendations to diverse business and technology audiences.
  • Ability to manage virtual global teams and ensure timely delivery of multiple projects or workstreams.
  • Experience analyzing and troubleshooting interactions among data platforms, databases, cloud services, operating systems, APIs, and applications.
  • Comfort learning emerging AI tools and translating them into practical, repeatable delivery methods for project teams.
  • Willingness to travel to client locations and ZS offices as required.

Responsibilities

  • Lead end-to-end technology projects using cloud, data, analytics, automation, application, and AI-enabled engineering approaches to solve complex business problems.
  • Translate business and domain requirements into practical technology solutions, operating at the intersection of domain expertise and technology to maximize value for clients and project teams.
  • Drive delivery methodologies to ensure projects are delivered on time, within budget, and to the client's satisfaction.
  • Design and deliver scalable solutions spanning data pipelines and platforms, analytical solutions, application development, and systems integration, tailored to each engagement.
  • Own project planning, execution, and program management, including scope, timelines, risks, dependencies, and stakeholders across workstreams.
  • Serve as a client-facing lead, build trusted relationships, facilitate stakeholder conversations, and communicate solution trade-offs and recommendations clearly.
  • Use approved AI productivity tools, coding assistants, copilots, and agentic development tools to accelerate requirements analysis, solution design, development, testing, documentation, and troubleshooting.
  • Guide, coach, and mentor project team members on technology consulting, delivery, and effective use of AI-enabled development practices.
  • Demonstrate technology expertise and facilitate problem-solving in internal and client interactions.
  • Collaborate with ZS experts to drive innovation, develop reusable assets, and proactively identify and mitigate project risks.
  • Structure unstructured business and technology problems and support the development of solution approaches, implementation roadmaps, and business cases.
  • Assist ZS leadership with solution development, proposals, innovation, thought leadership, capability building, and team initiatives.

About the Company

ZS

Global management consulting for sales optimization

ZS Associates helps organizations optimize their sales and marketing operations through data-driven analytics. The company uses mathematical models and rigorous analysis—originating from Kellogg professors in the 1980s—to size and structure sales teams, design territories, forecast markets, manage data, and design incentive compensation. Its services are delivered as consulting engagements that translate complex analytics into practical business decisions, such as how many salespeople a company needs, how to assign territories, and how to align incentives to drive performance. ZS differentiates itself with a deep, methodical focus on analytics, built from decades of experience and applied across industries beyond its pharmaceutical roots. The company’s goal is to help clients improve performance and return on investment by turning data into actionable sales and marketing solutions.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Evanston, IL
Founded
1983

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