SAP Datasphere, SAC, and AI Architect

Data-Core System, Inc.•Harrisburg, PA

About The Position

Data-Core Systems, Inc. is seeking a SAP Datasphere, SAC, and AI Architect to join our Consulting team. This role involves participating and effectively contributing to the design, development, and implementation of complex applications, often using new technologies. You will provide technical expertise and systems design for individual initiatives, with opportunities to collaborate with other SME consultants. Our client is a roadway system undergoing a digital transformation, implementing a solution based on SAP BRIM & Microsoft Dynamics CE.

Requirements

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.
Proven experience, expertise, and strong understanding in: SAP Analytics Cloud (SAC).
Proven experience, expertise, and strong understanding in: SAP Business Technology Platform (BTP).
Proven experience, expertise, and strong understanding in: Data modeling and enterprise analytics architecture.
Proven experience, expertise, and strong understanding in: Data warehousing concepts.
Proven experience, expertise, and strong understanding in: ETL/ELT processes.
Proven experience, expertise, and strong understanding in: Cloud-native architectures.
Proven experience, expertise, and strong understanding in: Data governance and security.
Proven experience, expertise, and strong understanding in: AI/ML lifecycle management.
Proven experience, expertise, and strong understanding in: Python or related analytics/programming languages.
Proven experience, expertise, and strong understanding in: APIs and integration services.
Proven experience, expertise, and strong understanding in: Data visualization and dashboard design.
Proven experience, expertise, and strong understanding in: 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.
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.

Nice To Haves

Preferred certifications include one or more of the following: SAP Certified Application Associate - SAP Analytics Cloud.
Preferred certifications include one or more of the following: SAP Certified Technology Specialist - SAP Datasphere.
Preferred certifications include one or more of the following: SAP Certified Development Associate - SAP Extension Suite / SAP BTP.
Preferred certifications include one or more of the following: SAP Certified Application Associate - SAP BW/4HANA.
Preferred certifications include one or more of the following: Cloud certifications (AWS, Azure, Google Cloud).
Preferred certifications include one or more of the following: AI/ML certifications from SAP, Microsoft, AWS, or Google preferred.

Responsibilities

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.
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.
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.
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, and predictive analytics and machine learning models.
Design AI-enabled use cases, including forecasting, intelligent automation, predictive maintenance, customer analytics, and financial insights.
Collaborate with data science teams to operationalize AI/ML models within enterprise workflows.
Architect integrations across SAP S/4HANA, SAP BW/4HANA, SAP BTP, SAP SuccessFactors, SAP Ariba, and 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.
Establish enterprise standards for data governance, data quality, master data management, security and access controls, and AI governance and responsible AI practices.
Ensure compliance with organizational and regulatory requirements.
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.
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.