Top Senior Data & Analytics Jobs in Nashville, TN

Leads CRM, business intelligence, analytics, and data strategy initiatives for a professional sports club. Oversees CRM administration, data quality, reporting, audience segmentation, lead scoring, campaign analytics, and executive dashboards. Uses SQL, Python, Tableau, AI tools, and integrated data systems to drive revenue, fan engagement, customer retention, and operational efficiency. Partners cross-functionally with Marketing, Ticket Sales, Finance, Partnerships, and IT while mentoring team members and ensuring responsible data governance.

Lead and grow a data engineering team to build a trusted, fast, composable, and self-serve data platform. Define architecture and roadmap for ingestion, transformation, governance, and analytics; ensure reliability, observability, and security; partner cross-functionally with Product, Analytics, Security, and Engineering; be a hands-on player-coach delivering scalable data systems using Snowflake, dbt, and self-serve analytics.

Own and evolve the enterprise Microsoft Fabric data lake, including architecture, pipelines, transformations, data models, reliability, cost, and DevOps. Lead data governance, quality, lineage, metadata, master data, access controls, and certified metrics. Build Power BI models supporting reporting and AI applications, write production code, transition platform ownership from a vendor, and lead two developers. Partner with business and technology stakeholders while preparing governed data for AI and agentic solutions.

Designs trusted Snowflake data products and enterprise semantic models that standardize business concepts, metrics, relationships, and rules. Builds Cortex semantic views and agents, validates AI-generated results, develops regression tests, and maintains metadata, lineage, and documentation. Leads modeling initiatives from discovery through production while partnering with business and technical stakeholders to improve analytics, automation, and AI consistency.

Analyzes complex healthcare and revenue cycle data to identify trends, measure operational and financial performance, and provide actionable recommendations. Develops reports, dashboards, analytical models, and structured datasets using SQL, Databricks, and BI tools. Partners with cross-functional teams to define requirements, validate data, communicate insights, and support continuous improvement initiatives.

Develops and maintains GIS applications, web maps, dashboards, analytical tools, and reporting systems for transportation and infrastructure programs. Manages spatial data, performs geospatial analysis, creates performance metrics and project tracking tools, and communicates program outcomes to leadership, stakeholders, and the public. Supports GIS integration, product standards, business development estimates, and client-facing transportation planning initiatives.

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.

Leads enterprise data governance initiatives, including policy and standards development, governance conformance, data quality, metadata requirements, and data issue resolution. Facilitates cross-functional decisions among business and technical stakeholders, manages governance artifacts, supports privacy and regulatory compliance, and delivers training to improve responsible data use and data literacy.

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.