In this role, you will help clients assess their current data, AI, and technology ecosystems; identify gaps and investment opportunities; and define practical roadmaps for modernization. You may support engagements such as evaluating an organization’s AI engineering strategy, designing a future-state Databricks architecture, planning cloud or data platform migrations, or helping supply chain teams use modern data and AI capabilities to improve planning, operations, and decision-making.
This role is ideal for a consultant or solution engineer who enjoys working at the intersection of business, architecture, and hands-on technology delivery. You do not need to be an expert in every platform, but you should bring strong engineering fundamentals, experience with modern cloud or data platforms, and the ability to learn quickly in complex client environments.
What you’ll do
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 GenAI 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.
Bring structure to ambiguous client problems by developing assessments, recommendations, business cases, roadmaps, and executive-ready materials.
Collaborate with global ZS teams to ensure strong delivery, project quality, and client satisfaction.
What you’ll bring
5–8 years of experience in technology consulting, solution architecture, data engineering, cloud implementation, or data platform delivery.
Experience assessing or designing data, analytics, AI, or cloud solutions in complex enterprise environments.
Hands-on experience with at least one major cloud or data platform, such as Databricks, AWS, Azure, Snowflake, or Google Cloud.
Exposure to AI engineering, GenAI platforms (like Azure OpenAI, OpenAI APIs, AWS Bedrock, Anthropic Claude, Google Gemini, Databricks Mosaic AI, or Snowflake Cortex), ML platforms, or AI/ML lifecycle practices.
Experience with CI/CD, DevOps, Infrastructure as Code, observability, or release governance.
Understanding of modern data architecture concepts, including ingestion, transformation, lakehouse or warehouse design, batch or streaming processing, and data governance.
Ability to evaluate technology options and explain tradeoffs around scalability, resilience, cost, performance, and maintainability.
Strong communication skills and ability to work with both business and technical stakeholders.
Experience creating architecture diagrams, implementation roadmaps, assessments, recommendations, or business cases.
Strong problem-solving skills and comfort operating in ambiguous, client-facing environments.
Ability to work across global teams and guide junior team members.
Nice-to-have qualifications
Experience with supply chain or manufacturing functions such as planning, inventory, logistics, quality, procurement, operations, or network design.
Experience with Databricks migrations, lakehouse architecture, or cloud data platform modernization.
Familiarity with enterprise integration tools such as MuleSoft, Boomi, APIs, or event-driven integration patterns.
Understanding of IT/OT integration or experience in regulated industries such as Pharma, Life Sciences, MedTech, or Healthcare.
Experience supporting proposals, RFP responses, effort estimation, or resource planning.
How you’ll grow
Cross-functional skills development & custom learning pathways
Milestone training programs aligned to career progression opportunities
Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Perks & Benefits
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application
An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At
www.zs.com
ZS's Supply Chain & Manufacturing group helps our clients to drive higher product availability at lower costs (stock-outs, carrying costs, and supply chain operating costs) and lower environmental impact through leveraging analytics, automation and process re-design approaches. Our offerings span the spectrum of strategy, advanced analytics, planning and technology to optimize deployment of resources (inventory, network, etc.) while maintaining customer service levels.
ZS is seeking a Technology Consultant – Cloud Data & AI Solutions to support advisory, architecture, and implementation work across Supply Chain and Manufacturing clients.
In this role, you will help clients assess their current data, AI, and technology ecosystems; identify gaps and investment opportunities; and define practical roadmaps for modernization. You may support engagements such as evaluating an organization’s AI engineering strategy, designing a future-state Databricks architecture, planning cloud or data platform migrations, or helping supply chain teams use modern data and AI capabilities to improve planning, operations, and decision-making.
This role is ideal for a consultant or solution engineer who enjoys working at the intersection of business, architecture, and hands-on technology delivery. You do not need to be an expert in every platform, but you should bring strong engineering fundamentals, experience with modern cloud or data platforms, and the ability to learn quickly in complex client environments.
What you’ll do
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 GenAI 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.
Bring structure to ambiguous client problems by developing assessments, recommendations, business cases, roadmaps, and executive-ready materials.
Collaborate with global ZS teams to ensure strong delivery, project quality, and client satisfaction.
What you’ll bring
5–8 years of experience in technology consulting, solution architecture, data engineering, cloud implementation, or data platform delivery.
Experience assessing or designing data, analytics, AI, or cloud solutions in complex enterprise environments.
Hands-on experience with at least one major cloud or data platform, such as Databricks, AWS, Azure, Snowflake, or Google Cloud.
Exposure to AI engineering, GenAI platforms (like Azure OpenAI, OpenAI APIs, AWS Bedrock, Anthropic Claude, Google Gemini, Databricks Mosaic AI, or Snowflake Cortex), ML platforms, or AI/ML lifecycle practices.
Experience with CI/CD, DevOps, Infrastructure as Code, observability, or release governance.
Understanding of modern data architecture concepts, including ingestion, transformation, lakehouse or warehouse design, batch or streaming processing, and data governance.
Ability to evaluate technology options and explain tradeoffs around scalability, resilience, cost, performance, and maintainability.
Strong communication skills and ability to work with both business and technical stakeholders.
Experience creating architecture diagrams, implementation roadmaps, assessments, recommendations, or business cases.
Strong problem-solving skills and comfort operating in ambiguous, client-facing environments.
Ability to work across global teams and guide junior team members.
Nice-to-have qualifications
Experience with supply chain or manufacturing functions such as planning, inventory, logistics, quality, procurement, operations, or network design.
Experience with Databricks migrations, lakehouse architecture, or cloud data platform modernization.
Familiarity with enterprise integration tools such as MuleSoft, Boomi, APIs, or event-driven integration patterns.
Understanding of IT/OT integration or experience in regulated industries such as Pharma, Life Sciences, MedTech, or Healthcare.
Experience supporting proposals, RFP responses, effort estimation, or resource planning.
How you’ll grow
Cross-functional skills development & custom learning pathways
Milestone training programs aligned to career progression opportunities
Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Perks & Benefits
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application
An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At
www.zs.com
