Data Modeler II

Direct message the job poster from TPI Global Solutions

Location: Houston, TX (Hybrid)

Contract: 12+ Months with Possible Extension

Local to Houston, TX for W2 Only

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.

• 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.

• 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.

• 5–7 years of relevant experience in Supply Chain Management (SCM) or product development.

• 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 Py Spark 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).

• Strong understanding of the oil & gas sector, including SCM Procure-to-Pay / Source-to-Pay processes and associated value drivers.

• Skilled in agile/waterfall methodologies.
• Strong stakeholder engagement and communication skills.
• Proficiency in documentation tools including PowerPoint, Excel, and Visio
  .

Mid‑Senior level

Contract

Information Technology

Oil and Gas