Top Data & Analytics Jobs in Birmingham, AL

Support and operationalize enterprise data governance and privacy programs (GDPR). Develop standards, procedures, and dashboards; manage metadata, data quality, ownership, and DSAR/ERASR intake, triage, and reporting. Conduct root-cause analysis, remediation planning, stakeholder coordination, and provide guidance to junior analysts.

Lead enterprise data platform strategy, architecture, engineering, integration, quality, and operations. Drive cloud modernization, scalable ETL/ELT, data governance, observability, MDM, interoperability, and platform reliability to support analytics, AI, regulatory compliance, and business outcomes. Build and manage senior data engineering and operations teams, vendor relationships, and budgets.

Lead and manage a remote Data Engineering team to build scalable data pipelines and lakehouse solutions. Own execution of Medallion architecture using Databricks, Boomi/Rivery, dbt, Delta Lake and SQL Server; implement DataOps, CI/CD, observability, and stakeholder intake while growing engineers and improving team maturity.

Senior Data Office leader responsible for shaping enterprise data governance, operating model modernization, and transformation to ensure trusted, accessible data. Advises executives, drives organizational change, aligns data investments to business priorities, and embeds governance into operations to support analytics, regulatory reporting, risk management, and AI readiness.

Lead and scale Prevail's Research function: set vision and strategy, manage and hire researchers, run complex quantitative and qualitative analyses, build cost-effectiveness and fund-sizing models, evaluate interventions, synthesize evidence into clear decision-ready outputs, and advise senior leaders to inform philanthropic investments.

Provide tactical and strategic BI to marketing, sales, and finance by building dashboards, defining KPIs, analyzing performance, alerting and investigating changes, and partnering with data engineering to ensure data quality and reliable tracking.

Lead data engineering for a healthcare scheduling platform rebuild: map legacy multi-TB schema, design target schema, build translation layer (views/materialized views and write mappers), ensure data consistency during parallel systems, plan per-tenant cutover with verification and rollback, tune DB performance, instrument data quality/lineage/audit, and mentor engineers.

Lead business intelligence efforts to analyze complex data, define KPIs, identify operational inefficiencies, and recommend process improvements. Collaborate with cross-functional teams and executives to implement data-driven strategies, manage improvement projects, monitor resource allocation, and ensure compliance with policies and regulations.

Implement, QA, and document tag management and data-layer specs across GTM, GA4, server-side pipelines, Shopify, and native apps. Collaborate with product and engineering to ensure tracking, pixel integrity, attribution, and experimentation event fidelity; support monthly audits, consent enforcement, and maintain centralized solution design documentation.

Design, build, and scale reliable batch and real-time data pipelines and warehouses. Partner with engineering, data science, and business teams to define data models, improve observability, optimize storage and querying, and evangelize data engineering best practices across the company.