SAP Datasphere, SAC, and AI Architect

Data-Core Systems, Inc. is a provider of information technology, consulting, and business process services. We offer breakthrough tech solutions and have worked with companies, hospitals, universities, and government organizations. A proven partner with a passion for client satisfaction, we combine technology innovation, business process expertise, and a global, collaborative workforce that exemplifies the future of work. For more information about Data-Core Systems, Inc., please visit https://datacoresystems.com/. Our client is a roadway system, and as a part of their digital transformation, they are implementing a solution based on SAP BRIM & Microsoft Dynamics CE. Data-Core Systems Inc. is seeking a SAP Datasphere, SAC, and AI Architect to be a part of our Consulting team. You will participate and effectively contribute to the design, development, and implementation of complex applications, often using new technologies. You will provide technical expertise and systems design for individual initiatives. You will have the opportunity to work with other SME consultants from our existing team. Roles & Responsibilities: Enterprise Data & Analytics Architecture. Lead the architecture and design of enterprise data, analytics, and AI solutions leveraging SAP Datasphere, SAP Analytics Cloud (SAC), and SAP BTP. Define data architecture standards, governance models, integration strategies, and best practices. Design scalable and secure enterprise data models supporting reporting, analytics, planning, forecasting, and AI use cases. Develop architecture roadmaps aligned with organizational digital transformation strategies. SAP Datasphere Architecture & Engineering. Design and implement SAP Datasphere solutions for enterprise data integration, virtualization, modeling, and governance. Architect data pipelines integrating SAP and non-SAP source systems. Define semantic models, business layers, and data products for analytics consumption. Optimize data performance, scalability, and security within Datasphere environments. Establish data governance, lineage, cataloging, and quality management practices. SAP Analytics Cloud (SAC) Architecture. Design enterprise reporting, dashboarding, and planning solutions using SAP Analytics Cloud. Architect SAC models, stories, planning applications, and predictive analytics solutions. Define KPI frameworks, executive dashboards, and operational reporting standards. Support integration between SAC, Datasphere, SAP S/4HANA, BW/4HANA, and third-party data sources. Optimize SAC performance, security roles, and user experience. AI & Intelligent Enterprise Solutions. Lead the architecture and integration of AI/ML capabilities within SAP environments. Evaluate and implement SAP AI technologies, including: SAP AI Core. SAP AI Launchpad. Joule and Generative AI capabilities. Predictive analytics and machine learning models. Design AI-enabled use cases, including: Forecasting. Intelligent automation. Predictive maintenance. Customer analytics. Financial insights. Collaborate with data science teams to operationalize AI/ML models within enterprise workflows. Integration & Technical Leadership. Architect integrations across: SAP S/4HANA. SAP BW/4HANA. SAP BTP. SAP SuccessFactors. SAP Ariba. External cloud platforms and data lakes. Guide development teams on APIs, data services, event processing, and cloud-native integration patterns. Ensure enterprise security, compliance, and performance standards are met. Governance, Security & Compliance. Establish enterprise standards for: Data governance. Data quality. Master data management. Security and access controls. AI governance and responsible AI practices. Ensure compliance with organizational and regulatory requirements. Project Leadership & Stakeholder Engagement. Lead architecture workshops, solution reviews, and technical strategy sessions. Collaborate with business stakeholders to translate business requirements into scalable analytics and AI solutions. Provide technical leadership and mentoring to developers, analysts, and engineering teams. Communicate architecture decisions, risks, and recommendations to executive leadership. Documentation & Operational Support. Develop and maintain architecture diagrams, standards, technical specifications, and operational procedures. Support testing, deployment, cutover, and post-production stabilization activities. Assist with production issue resolution and continuous improvement initiatives. Required Skills & Experience: 8+ years of enterprise SAP data and analytics experience. 5+ years of hands-on experience with SAP Datasphere and/or SAP Analytics Cloud. Proven experience in architecting enterprise analytics and reporting platforms. Experience implementing AI/ML or predictive analytics solutions in enterprise environments. Proven experience, expertise, and strong understanding in: SAP Datasphere. SAP Analytics Cloud (SAC). SAP Business Technology Platform (BTP). Data modeling and enterprise analytics architecture. Data warehousing concepts. ETL/ELT processes. Cloud-native architectures. Data governance and security. AI/ML lifecycle management. Python or related analytics/programming languages. APIs and integration services. Data visualization and dashboard design. SAP BW/4HANA, SAP HANA native modeling, SAP AI Core, and AI Launchpad, Generative AI integrations, and large-scale cloud data platforms. Experience in utilities, telecommunications, finance, manufacturing, or public sector industries. Experience with Agile, DevOps, and CI/CD delivery methodologies. Certifications & Education Qualifications: Preferred certifications include one or more of the following: SAP Certified Application Associate - SAP Analytics Cloud. SAP Certified Technology Specialist - SAP Datasphere. SAP Certified Development Associate - SAP Extension Suite / SAP BTP. SAP Certified Application Associate - SAP BW/4HANA. Cloud certifications (AWS, Azure, Google Cloud). AI/ML certifications from SAP, Microsoft, AWS, or Google preferred. Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Technology, or a related technical discipline. An equivalent combination of education and relevant experience may be considered. We are an equal opportunity employer. #Dice