Top Remote Senior Level Data Management Jobs in Dallas, TX

Manage day-to-day execution of regional assessment builds and readiness operations in Renaissance (Illuminate) DnA, maintain data quality and compliance, coordinate vendor data collection, develop documentation and training, support regional stakeholders, and continuously improve assessment and data workflows to ensure timely, accurate reporting.

Designs and maintains Power BI reports, dashboards, semantic models, and end-to-end analytics solutions. Builds ETL processes, data pipelines, and data transformations, performs advanced SQL/DAX/M work, automates reporting (including approved AI tools), validates data quality, recommends process improvements, and presents insights to technical and non-technical stakeholders. Individual contributor who may lead moderate-risk projects and deliver user training.

Lead enterprise data architecture for a multi-year SAP ECC to S/4HANA migration. Design canonical models, bridge reporting, integration patterns, and analytics enablement (SAC). Define standards, reference architectures, ETL/ELT pipelines, and governance; coach delivery teams and produce architecture artifacts aligned to TOGAF.

Lead architecture and delivery of enterprise data transformation on the Guidewire Data Platform. Drive design, ingestion/egress, migration performance, and AI-enabled tooling. Facilitate inception and design review sessions, mentor teams, coordinate with partners, and ensure successful data platform adoption and repeatable delivery practices while spending significant time on customer sites.

As a Data Engineer, you will design and maintain data pipelines, support DoD systems, and ensure data quality and compliance.

Lead and grow an analytics engineering team to build a trusted semantic metrics layer, scalable dimensional models, and governance. Partner cross-functionally to deliver reliable data products, improve pipelines and observability, set technical standards, and enable self-service analytics, experimentation, and ML while balancing scalability and business impact.

Design and implement data engineering and reporting solutions for MarTech/AdTech clients: build data models in BigQuery/dbt, manage ETL pipelines, create dashboards in Looker/Data Studio, validate integrations, and collaborate with product and engineering teams to scale reporting and analytics.

Senior data processing analyst responsible for end-to-end survey data processing: specifications, weighting, QA, documentation and deliverables. Produce datasets and tables, perform statistical tests, and modernise/automate workflows (Python/R, replace SPSS). Apply AI-assisted tools, act as technical lead for projects, and mentor junior analysts.

Lead and develop a team delivering enterprise data engineering, analytics, and governance. Oversee data pipelines, ETL/ELT, cloud platforms, integration services, and stakeholder engagement to enable data-informed decision-making across the university system.

Own and build customer health, usage/adoption, and product configuration data models. Produce ad-hoc and recurring analyses to identify upsell/expansion opportunities, partner with CS, Sales, Product, and Data teams, and present actionable insights to leadership to drive revenue-relevant actions.