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SAP ePPDS Consultant responsible for configuring and implementing ePPDS in SAP ECC and S/4HANA environments. The role requires leading workshops, designing test cases, managing system configurations, supporting cutover activities, and completing at least two full-lifecycle S/4HANA ePPDS implementations. Strong analytical, problem-solving, communication, and independent task-management skills are essential.

Integrate SAP Datasphere and SAP Analytics Cloud with multiple data sources and downstream applications. Build and validate semantically rich data models using SAP Datasphere, CDS, and complex SQL. Create reports and dashboards in SAP Analytics Cloud and Power BI, including scripting. Analyze complex data challenges, understand business context, and maintain high standards for deliverables and client service.

Designs conceptual, logical, and physical data models for midstream oil and gas domains. Owns Bronze, Silver, and Gold layering, dimensional models, data dictionaries, metadata, lineage, and governance standards. Partners with data engineering on dbt implementation, evaluates source-system reconciliation, supports master data management, and leads model reviews with business stakeholders. Assesses schema evolution impacts and translates complex operational rules into scalable, documented data structures.

Develop and enhance SharePoint Online solutions using SPFx, web technologies, Power Platform, and Azure. Responsibilities include customization, testing, deployment, troubleshooting, documentation, user training, governance, and collaboration with architects and global stakeholders. The role also supports requirements gathering, technical problem-solving, user adoption, and continuous improvement of SharePoint-based business solutions.

Configure and support SAP Warehouse Management and Inventory Management processes in S/4HANA, including inbound and outbound deliveries, putaway, picking, transfer orders, storage structures, movement types, and data migration. Integrate WM with MM, SD, and PP; prepare functional specifications, test cases, and documentation. Preferred experience includes IDOCs, interfaces, RF frameworks, warehouse mobility solutions, and S/4HANA implementations or conversions.

Design, build, maintain, and document data transformation pipelines, models, and processes that produce business-ready datasets. Collaborate with stakeholders to understand data requirements and support business needs. Build distributed systems in cloud environments and use orchestration, infrastructure-as-code, CI/CD, and AI tools to accelerate workflows.

Own the reliability, scalability, security, observability, and operational readiness of production AI/ML, GenAI, RAG, and agentic AI platforms. Define SLOs, monitor services, lead incident response, automate infrastructure and deployment workflows, implement CI/CD, observability, evaluation, governance, security, and cost controls, and support resilient cloud-native AI operations. Mentor engineers and collaborate with AI, platform, security, product, and business stakeholders.

Lead end-to-end Oracle Cloud WMS solution architecture and implementation, including warehouse process design, configuration, testing, deployment, integrations, and production support. Configure receiving, putaway, picking, packing, shipping, replenishment, cycle counting, wave planning, task management, and allocation. Integrate WMS with Oracle Fusion SCM, 3PLs, external applications, and warehouse automation using OIC, REST/SOAP APIs, and FBDI. Create technical documentation, troubleshoot issues, and mentor implementation consultants.

Build AI agents and enterprise AI solutions using Oracle Fusion AI Studio and OCI services. Develop integrations, extensions, and applications with OIC, VBCS, BI Publisher, Redwood UI, Python, SQL, and REST APIs. Apply AI/ML, generative AI, agentic AI, LLM, embeddings, RAG, and multi-agent concepts within Oracle ERP Cloud environments. Support security, compliance, governance, and potentially cross-cloud AI ecosystems and modern AI frameworks.

Designs, develops, and supports enterprise ETL and data integration solutions using Informatica PowerCenter and potentially IICS/IDMC. Responsibilities include creating mappings and workflows, writing complex SQL, integrating diverse data sources, performing data cleansing and validation, troubleshooting production issues, optimizing performance, implementing data quality controls, supporting deployments, and documenting solutions. The role collaborates with architects, analysts, QA, and technical teams across the SDLC.