Top Data Management Jobs in Las Vegas, NV

Lead and manage managed-data and analytics engagements to build modern data ecosystems, convert insights into strategic opportunities, and deliver managed services. Oversee project planning, budgeting, execution, quality, and client relationships. Mentor and develop team members, manage risks and issues, and uphold firm standards while driving cloud-scale development and transformation initiatives.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, analyze complex datasets to generate actionable insights, implement data governance and cloud data architectures, and collaborate on innovative analytics projects to improve client decision-making and business performance.

Lead design and execution of data governance strategies, manage client engagements, supervise and mentor teams, ensure quality and compliance, analyze data to inform decisions, and identify improvements in data management processes.

Lead design and delivery of data architecture, ETL/ELT pipelines, and data warehouses/lakes across cloud platforms. Manage and mentor a team, ensure data governance and security compliance, partner with stakeholders to translate business requirements, and drive scalable, cost-effective cloud data solutions.

Lead design and delivery of cloud data engineering solutions for clients: build and maintain data pipelines and architectures, implement BI and analytics, manage managed-services SLAs, coach teams, apply systems thinking to solve complex problems, validate outcomes with clients, and direct teams through ambiguous situations to drive business performance.

Lead data engineering projects, design and maintain ETL/ELT pipelines and architectures, use cloud analytics (AWS, Redshift, S3, Glue), enterprise databases (DB2, SQL Server) and integration tools (GoldenGate, CDC, DataStage). Manage client accounts, mentor teams, implement BI and visualization (BIRT, QlikView, Spotfire), and ensure performance tuning and delivery standards.

Lead design and implementation of data architecture and large-scale data engineering projects. Build data pipelines, integration and transformations, document data models and flows, ensure governance and security compliance, advise clients strategically, and coach high-performing teams to deliver solutions aligned with business needs.

Lead development and execution of data governance strategies, supervise and mentor teams, manage client accounts and deliverables, analyze data to inform business decisions, ensure compliance with firm standards, and identify improvements to data management processes.

Lead development and execution of data-driven strategies, manage and mentor a data analytics team, oversee project planning and delivery, analyze complex datasets to produce actionable insights, implement cloud data architectures, and support data governance and continuous improvement.

Lead design and delivery of cloud-based data architecture, data models, ETL/ELT pipelines, data warehouses/lakes, and data security. Manage projects, mentor team members, ensure governance compliance, collaborate with stakeholders, and optimize cloud infrastructure for performance, cost, and scalability.

Lead design and implementation of data architecture and cloud-based data engineering solutions. Manage large projects, translate stakeholder requirements into technical designs, ensure data governance and security, develop data models and pipelines, advise clients strategically, and coach teams to deliver operational excellence.

Lead and scale enterprise data governance operations: manage the data domain model and business glossary, run governance council operations, enforce data policies and compliance (SOC 2, GDPR/CCPA), drive catalog adoption and data literacy, and measure governance maturity and ROI through dashboards and remediation workflows.

Oversee data ingestion and transformation, manage finance data sources, ensure scalability and reliability of data platforms, and collaborate with stakeholders to align data engineering with organizational goals.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

Lead Finance Data & Analytics to build trusted data sources, governance, and analytics for Finance and cross-functional stakeholders. Manage analysts, drive data strategy and Snowflake data models, produce insights via SQL and Tableau, and deploy AI solutions to optimize finance decision-making and operations.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

Lead a Salesforce data engineering team to design, deliver, and support Salesforce-to-Salesforce integrations and migrations, data modeling, ETL/transformations, automation, and observability. Manage hiring, performance, and career development; partner with stakeholders; adopt AI/LLM agent tooling to automate workflows and improve data quality; reduce technical debt and document systems and processes.

Lead a hands-on data engineering team to build and scale production data pipelines, datasets, and observability for alternative-data products. Drive architecture, data modeling, QA, and AI-ready dataset design while coaching engineers, partnering with product and research, and owning operational excellence across Databricks, Airflow, SQL, and PySpark.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.

Serve as the analytics bridge between marketing/operations and data teams: translate business questions and KPIs into clear product requirements, own delivery of treated tables, semantic layers, reports and dashboards, align stakeholders on a single source of truth, run gap analyses, document processes, and ensure delivered data products drive decision-making and adoption.

Lead enterprise data strategy and governance, build AI-ready data infrastructure and BI systems, own SharePoint platform, partner cross-functionally to ensure data quality, access, compliance, and user adoption.

Lead end-to-end data migration strategy and execution for complex franchise partners—perform discovery, map legacy data, troubleshoot imports, align stakeholders, and build scalable playbooks to standardize data delivery and ensure seamless platform transitions.

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.

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.