Top Senior Level Data & Analytics Jobs in Birmingham, AL

The Marketing Data & Analytics Manager will develop analytics frameworks, analyze user data, create dashboards, and collaborate with engineering to optimize marketing strategies and improve customer experiences through data-driven decision making.

As a Senior Analytics Engineer at Forward Financing, you'll design and maintain data models, collaborate with various teams to enhance analytics platforms, ensure data quality, and integrate third-party data sources to support business decisions.

The VP, Customer Insights and Analytics will lead strategic projects to leverage customer data and insights to enhance marketing effectiveness. Responsibilities include directing the insights team in market research, evolving the operating model, and developing methodologies for quantitative and qualitative research to drive marketing strategies.

Headway is seeking a Senior Data Engineer to help create access to affordable, quality mental healthcare across the United States. This role involves collaborating on data infrastructure design, partnering with product/engineering for best practices, creating data pipelines for business insights, and building real-time data pipelines in coordination with the Data Science team.

As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.

As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.

The Data Engineer at Regions is responsible for designing and building data structures, processes, and pipelines to deliver analytical and operational data assets. This role involves collaborating with technical partners to ensure data quality, supporting data consumers, and providing insights to aid in business decision-making.