Top Senior Data & Analytics Jobs in Nashville, TN

Leads Cat Financial’s enterprise data governance, quality, stewardship, modeling, and master data management strategy. Manages Data Specialists, oversees Customer 360 mastering, drives matching and survivorship across customer, supplier, product, and financial domains, and partners with business and technology leaders on enterprise data initiatives. The role develops governance frameworks, metadata and lineage practices, cloud data capabilities, AI and analytics support, and team performance while working onsite in Nashville five days per week.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Design, build, deploy, and operate production-grade data pipelines and products for healthcare and marketing datasets. Implement data models, Airflow workflows, data-quality controls, and PHI/PII privacy controls. Collaborate with product, analytics, and platform teams to support audience discovery, segmentation, activation, measurement, and reporting.

Leads the organization’s reporting and analytics function by developing dashboards, KPIs, recurring reports, and ad hoc analyses from clinical, operational, and financial data. Establishes data quality and reporting standards, mentors analysts, partners with IT and business leaders, evaluates BI tools, documents metrics, and presents actionable insights to executives and the Board.

Designs and maintains scalable data architectures, warehouses, lakes, integration pipelines, and governance standards supporting clinical, operational, and financial reporting. Builds ETL/ELT integrations from healthcare and business systems, ensures data quality, security, HIPAA compliance, and reliability, and translates departmental reporting needs into data models and dashboards. The role also evaluates data platforms, documents integrations, troubleshoots pipeline issues, and partners with organizational leadership.

Analyze complex healthcare and revenue cycle data to identify trends, measure operational and financial performance, and provide actionable recommendations. Build and maintain reports, dashboards, analytical models, and structured datasets using SQL and business intelligence tools. Collaborate with cross-functional stakeholders to define requirements, validate data, document methodologies, and communicate findings to technical and executive audiences.

Build and operate scalable Databricks Lakehouse data platforms, including Bronze/Silver/Gold pipelines, feature tables, batch and streaming ingestion, data quality controls, modeling, performance optimization, governance, and production support. Partner with data science, AI, and platform engineering teams to deliver trusted healthcare and member data products for machine learning and decision intelligence workloads.

Designs and delivers scalable data solutions, including ingestion and transformation pipelines, incremental datasets, automation, and DevOps practices. Evaluates architectures, improves pipeline performance and maintainability, and supports governed, compliant data flows on modern platforms. Collaborates with data engineering, governance, science, and analytics teams while providing operational support, documentation, troubleshooting, and mentorship to junior professionals.

Leads teams delivering IT solutions and manages architecture, systems analysis, development, integration, deployment, maintenance, budgets, vendors, and technical support. Assesses business and client requirements, develops technology plans, ensures architectural compliance, resolves technical issues, coordinates software and hardware implementations, monitors performance, and manages training. Supervises staff, oversees hiring and performance management, negotiates contracts, and partners with business units on technology strategy and investments.

Deliver consolidated wealth management reporting throughout the Addepar servicing lifecycle, including client onboarding, account setup, data validation, quality control, report production, platform maintenance, and case resolution. Investigate discrepancies, coordinate with custodians and vendors, support Financial Advisors and clients, document procedures, improve processes, and communicate technical findings and resolutions clearly.

Design, build, and maintain batch and streaming data pipelines; ingest, transform, and optimize data for analytics and BI; ensure data quality, reliability, and performance; implement monitoring/alerting; support MLOps and analytics workloads; collaborate with data scientists and BI teams; document AI systems and RAG/Cortex-based solutions.