Technology Consultant – Cloud Data & AI Solutions

About the role

ZS is seeking a Technology Consultant – Cloud Data & AI Solutions to support advisory, architecture, and implementation work across Supply Chain and Manufacturing clients. This role is ideal for a consultant or solution engineer who enjoys working at the intersection of business, architecture, and hands-on technology delivery.

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 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.

Requirements

• 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.

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.

Skills

• Strong problem-solving skills and ability to work in ambiguous, client-facing environments.
• Ability to work across global teams and guide junior team members.

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.

Pay

Details on pay are not specified in the job posting.

Schedule

Details on schedule are not specified in the job posting.