Top Artificial Intelligence Data & Analytics Jobs in Nashville, TN

Lead regional reporting delivery by standardizing, governing, and automating reporting processes. Partner with Corporate Reporting and line units to translate data into actionable insights, prioritize work, manage capacity, and drive adoption of common reporting tools and practices. Oversee consolidation of reporting activities, escalate risks, and mature regional reporting capabilities aligned to enterprise standards.

Deliver data-driven insights and scalable reporting solutions for finance leadership. Partner with stakeholders to gather requirements, identify process improvements, implement automation, build training curricula, and develop analytics using Snowflake and modern BI tools to support executive decision-making.

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

Partner with business teams to define analytics roadmaps, build Tableau dashboards, write complex SQL, collaborate with Data Engineering on the data warehouse, maintain a data catalog and governance, set SLAs, optimize analytics performance, and mentor junior analysts.

The Senior Data Engineer will design and deploy AI solutions, build scalable data systems, and manage cloud databases while collaborating with teams to enhance decision-making processes.

The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.

Lead design and implementation of an enterprise Databricks lakehouse, build scalable batch and streaming pipelines, enforce governance and CI/CD standards, optimize Spark workloads, operationalize ML with MLflow, manage cloud infrastructure and IaC, and mentor data engineering teams.

As the Capital Markets Manager, you will secure funding through securitization programs, manage partnerships, and lead structured finance negotiations while mentoring your team.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

As a Digital Innovation Co-Op, you'll work on projects involving AI and machine learning to enhance supply chain operations, collaborating with engineers and data scientists to automate workflows and analyze data.