Top Data Management Jobs in Birmingham, AL

Lead and manage managed data and analytics engagements, building modern data ecosystems, converting insights to strategy, overseeing project delivery, mentoring teams, and ensuring quality, timelines, and client satisfaction.

Lead development and execution of data governance strategies, manage client engagements, supervise and mentor teams, ensure deliverable quality and compliance, analyze data to inform business decisions, identify process improvements, and promote innovative data-driven solutions.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, implement data governance and cloud data architectures, analyze complex datasets to produce actionable insights, and collaborate on innovative analytics and data management projects.

Lead and coach teams to design and deliver data architectures, pipelines, and BI solutions. Build and maintain ETL/data engineering on AWS/Redshift and DataStage, implement visualization and reporting (SQL Server, DB2, QlikView, Oracle BI), collaborate with stakeholders on managed services and SLAs, apply systems thinking to complex problems, validate outcomes with clients, and drive solution optimization and performance tuning.

Lead design and implementation of data architecture, data models, ETL/ELT pipelines, and cloud-based data warehouses/lakes. Ensure data governance, security, and pipeline reliability. Mentor and manage team members, collaborate with stakeholders to translate requirements into technical solutions, and drive cloud cost, performance, and DevOps best practices.

Lead data engineering projects, design and maintain scalable data pipelines and architectures, and deliver ETL/ELT solutions. Manage and mentor teams, engage stakeholders, deploy cloud-based analytics (AWS/Redshift/S3/Glue), and implement BI and visualization platforms. Ensure project success, performance tuning, and adoption of new technologies while upholding professional and firm standards.

Lead design and implementation of data architecture, build data pipelines and integrations, develop data models and flow diagrams, ensure governance and security compliance, manage large projects, advise clients strategically, and coach and grow diverse teams to deliver data engineering solutions.

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.

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.

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

Lead a small data engineering team partnering with Engagement Marketing to build scalable ETL/ELT pipelines, ensure data quality, define marketing metrics, integrate trusted data with ad platforms, and drive the data roadmap to enable measurement and growth.

Lead design and build of a cloud-based data platform; manage and mentor data engineering staff; define engineering standards, data governance, and access controls; partner with stakeholders to deliver scalable, reliable data pipelines and platform services for analytics and AI.

The role involves leading the data governance team, managing IT projects, collaborating with stakeholders, and ensuring continuous improvement of processes. Responsibilities include strategic planning, client management, and optimizing resource utilization, while overseeing governance activities and departmental management.

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.