Data Modeler II

Job Title: Data Modeler II Location: Houston, TX (Hybrid) Contract: 12+ Months with Possible Extension Local to Houston, TX for W2 Only Job Description SCM Enable & Innovate is seeking a Data Modeler II with a product-driven, start-up mindset to support end-to-end development of innovative data solutions that drive measurable business value across Supply Chain operations. This role will work in a hybrid model based in Houston, TX and requires strong expertise in data science, analytics, ETL development, and product execution within the oil & gas industry. Responsibilities Product Development • Develop innovative data science solutions leveraging deep knowledge of the oil & gas industry and Supply Chain processes. • Design and optimize ETL pipelines for scalable, high-performance data processing using Azure Databricks, Microsoft Dataflow, Dataverse, and/or Oracle Autonomous Data Warehouse (ADW). • Work with various ERP systems, including SAP and Oracle, along with their analytics tools to enable data-driven decisions. • Integrate solutions with enterprise data platforms and visualization tools for reporting. • Build and maintain master datasets to support procurement, spend analytics, and market intelligence. • Ensure adherence to data governance, security, and company policies across all development efforts. Program Management • Define and document project objectives, problem statements, business value, business processes, and requirements. • Manage project timelines, resources, and cross-functional coordination to ensure alignment with project goals. • Facilitate project meetings and communicate progress updates to stakeholders. • Maintain all project documentation, including idea assessments, requirements, design documents, and weekly status reports. • Communicate technical details, requirements, and design elements to internal business stakeholders in clear, understandable language. Skills & Qualifications Experience • 5–7 years of relevant experience in Supply Chain Management (SCM) or product development. Technical Expertise • Advanced proficiency in data science, including statistical analysis, predictive analytics, text-based sentiment analysis, machine learning, and data visualization. • Strong experience working with unstructured data, such as PO line descriptions and customer feedback. • Advanced proficiency in Python and PySpark with Databricks for large-scale data processing. • Hands-on experience with prompt engineering. • Experience developing solutions using the Microsoft Power Platform (Copilot Studio, Dataflow, Dataverse, Power Automate, Model-Driven Apps). • In-depth understanding of SAP and Oracle Cloud modules (SCM, A/P, Projects, Finance). • Proficiency in SQL for data transformation (preferred). • Experience using Alteryx for data preparation and workflow automation (preferred). Industry Knowledge • Strong understanding of the oil & gas sector, including SCM Procure-to-Pay / Source-to-Pay processes and associated value drivers. Project Management • Skilled in agile/waterfall methodologies. • Strong stakeholder engagement and communication skills. • Proficiency in documentation tools including PowerPoint, Excel, and Visio.