
1001 - 5000 employees
Founded 2011
🏥 Healthcare
📦 Logistics
📣 Marketing
Healthcare • Logistics • Marketing
Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.
🔥 13 hours ago
Where this job comes from
Posted on Tiger Analytics's careers page, not through a job board
First seen by Remote Rocketship 13 hours ago
Still open on Tiger Analytics's site. Checked 3 hours ago.

1001 - 5000 employees
Founded 2011
🏥 Healthcare
📦 Logistics
📣 Marketing
Healthcare • Logistics • Marketing
Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.
• Define the target-state architecture and roadmap for AI and data across the SAP landscape, with BTP as the application and integration platform and BDC as the strategic data foundation. • Identify and prioritize high-value AI use cases with business leaders, backed by 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. • 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. • Partner with SAP, system integrators, and hyperscalers on solution fit and roadmap alignment. • Design RAG, copilot, and autonomous-agent solutions combining BTP services with 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 using APIs, events, and ABAP Cloud/CAP on BTP for extensibility. • Provide technical leadership through build, deployment, model monitoring, and cost control (MLOps/LLMOps).
• 10+ years in enterprise or solution architecture, including 5+ years in SAP environments (S/4HANA, 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, with the ability to engage both 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 as well as in a team environment. • Good client-facing and stakeholder management skills.
• 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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