SAP Consultant

Tiger Analytics•Santa Clara, CA

About The Position

Tiger Analytics is an advanced analytics consulting firm and a trusted analytics partner to Fortune 100 companies. The company is seeking an SAP Business AI Architect to design and deliver AI capabilities across clients’ SAP landscapes. The role translates business priorities into practical AI solutions built on SAP Business Technology Platform (BTP) and SAP Business Data Cloud (BDC), using governed business data as the foundation for analytics and AI. The position sets architecture and roadmaps for AI and data across SAP environments, develops governed data products, and designs solutions using SAP and external AI, data, integration, and cloud services. It provides technical leadership from solution design through deployment and ongoing model monitoring and cost control, while working with business leaders, SAP, system integrators, hyperscalers, and client stakeholders.

Requirements

At least 10 years of experience in enterprise or solution architecture, including at least 5 years in SAP environments such as S/4HANA and BTP.
Hands-on experience designing and delivering solutions on SAP BTP, including integration, extensibility, and security.
Extensive knowledge of SAP BDC, Datasphere, and SAP Analytics Cloud, including data products, data modeling, and federation.
Hands-on experience delivering AI/ML or generative AI solutions in an enterprise setting.
Experience with Databricks or comparable lakehouse platforms, modern data pipelines, data governance, lineage, and master data.
Strong understanding of LLMs, embeddings, vector databases, RAG, and agent frameworks.
Excellent communication skills and ability to engage technical and executive audiences.
Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field.
Minimum of 5 years of experience in SAP consulting, implementation, or support.
Good understanding of SAP applications, modules, and business processes.
Experience working on SAP implementation, configuration, enhancement, and support projects.
Ability to understand business requirements and translate them into SAP solutions.
Experience working with cross-functional teams and client stakeholders.
Knowledge of SAP integration, testing, and troubleshooting.
Strong analytical, problem-solving, and communication skills.
Ability to work independently and in a team environment.
Good client-facing and stakeholder management skills.

Responsibilities

Define target-state architecture and roadmaps for AI and data across SAP landscapes, using BTP as the application and integration platform and BDC as the data foundation.
Identify and prioritize high-value AI use cases with business leaders and develop clear value cases.
Establish reference architectures, standards, and governance for AI, generative AI, and agentic solutions.
Lead data product strategy by defining, publishing, and governing SAP and custom data products in BDC for analytics and AI reuse.
Architect AI solutions on BTP using SAP Joule, AI Core, AI Launchpad, Generative AI Hub, SAP Build, Integration Suite, and HANA Cloud vector engine.
Design BDC architectures spanning SAP Datasphere, SAP Analytics Cloud, SAP HANA Cloud, and SAP Databricks, including zero-copy data sharing with Databricks and other external platforms.
Partner with SAP, system integrators, and hyperscalers on solution fit and roadmap alignment.
Design RAG, copilot, and autonomous-agent solutions combining BTP services, governed BDC data, and SAP business context.
Integrate third-party, open-source, and hyperscaler models from Azure, AWS, and Google Cloud with SAP systems.
Apply clean-core principles and use APIs, events, and ABAP Cloud/CAP on BTP for extensibility.
Provide technical leadership through solution build and deployment, and oversee ongoing model monitoring and cost control using MLOps/LLMOps.
Work with cross-functional teams and client stakeholders to understand business requirements and translate them into SAP solutions.
Contribute to SAP implementation, configuration, enhancement, support, integration, testing, and troubleshooting projects.

Benefits

Competitive salary and comprehensive benefits package.
Opportunity to work on diverse SAP projects across industries.
Exposure to enterprise-level technology solutions and business transformation initiatives.
Professional development and learning opportunities.
Collaborative and supportive work environment.
Flexible work arrangements.

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