Top Artificial Intelligence Data & Analytics Jobs in Dallas-Fort Worth, TX

The Senior Power BI Developer is responsible for supporting and developing Power BI reports and dashboards, managing data integration, and engaging with stakeholders to meet reporting needs. This role involves advanced analytics, data modeling, and ensuring compliance with governance standards.

The Data Engineer will design, build, and deploy scalable data solutions, optimize data flows, and implement ETL processes, leveraging various cloud platforms and technologies.

The Sterling Data Analyst will enhance order entry systems, maintain Oracle databases, and analyze data for integration with Sterling applications, requiring strong SQL skills.

The Business Analyst will manage business and system requirements for the Medicaid Managed Care Program, focusing on UAT Testing, stakeholder liaison, and requirement traceability throughout the project lifecycle.

The Data Architect will design and implement analytics solutions using Microsoft technologies, collaborating with clients to establish data platforms and cultures that enhance business insights.

This role involves owning product analytics from end-to-end, including event taxonomy, instrumentation, dashboard design, and proactive insight delivery for the product team at XBOW. You'll improve frontend and server-side tracking, ensure data quality, and enable self-service analysis for stakeholders while working across the full stack. The focus is on actionable insights rather than vanity metrics.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.

The Internal Auditor will validate compliance evidence, conduct internal audits, and communicate audit insights, focusing on various compliance frameworks.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

The Databricks Architect leads data engineering solutions, designing scalable Databricks platforms and managing cloud implementations. They work with clients, ensuring technical alignment and project execution.