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ZS

Global management consulting for sales optimization

Technology Consultant: Cloud Data & AI Solutions

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Have 5–8 years of experience in technology consulting, solution architecture, data engineering, cloud implementation, or data platform delivery.
  • Have experience assessing or designing data, analytics, AI, or cloud solutions in complex enterprise environments.
  • Have hands-on experience with at least one major cloud or data platform, such as Databricks, AWS, Azure, Snowflake, or Google Cloud.
  • Have exposure to AI engineering, generative AI platforms, machine learning platforms, or AI/machine-learning lifecycle practices.
  • Have experience with continuous integration and continuous delivery, DevOps, Infrastructure as Code, observability, or release governance.
  • Understand modern data architecture concepts, including ingestion, transformation, lakehouse or warehouse design, batch or streaming processing, and data governance.
  • Be able to evaluate technology options and explain tradeoffs involving scalability, resilience, cost, performance, and maintainability.
  • Be able to work with business and technical stakeholders.
  • Have experience creating architecture diagrams, implementation roadmaps, assessments, recommendations, or business cases.
  • Have strong problem-solving skills and be comfortable working in ambiguous, client-facing environments.
  • Be able to work across global teams and guide junior team members.

Responsibilities

  • Assess clients’ current data, AI, and digital technology ecosystems to identify gaps, risks, and modernization opportunities.
  • Support development of AI engineering, data platform, and cloud modernization strategies.
  • Translate business priorities across supply chain and manufacturing functions into scalable technical roadmaps and architecture recommendations.
  • Design future-state architectures for modern data platforms, including lakehouse, warehouse, data pipeline, and analytics environments.
  • Support cloud and data platform migrations, including migration planning, architecture design, platform evaluation, and implementation roadmaps.
  • Help clients evaluate technologies such as Databricks, Snowflake, AWS, Azure, and emerging generative AI platforms based on business needs, scalability, cost, and long-term fit.
  • Partner with business, IT, data, and operations stakeholders to align technical solutions with supply chain and manufacturing objectives.
  • Lead or support implementation teams delivering data pipelines, platform components, integrations, and AI-enabled solutions.
  • Develop assessments, recommendations, business cases, roadmaps, and executive-ready materials to bring structure to ambiguous client problems.
  • Collaborate with global ZS teams to ensure strong delivery, project quality, and client satisfaction.
  • Travel as needed for client-facing work, based on project and client needs.

Desired Qualifications

  • Have experience with supply chain or manufacturing functions such as planning, inventory, logistics, quality, procurement, operations, or network design.
  • Have experience with Databricks migrations, lakehouse architecture, or cloud data platform modernization.
  • Be familiar with enterprise integration tools such as MuleSoft, Boomi, application programming interfaces, or event-driven integration patterns.
  • Understand information technology/operational technology integration or have experience in regulated industries such as pharmaceuticals, life sciences, medical technology, or healthcare.
  • Have experience supporting proposals, requests for proposals, effort estimation, or resource planning.

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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