Why join?

Join us in revolutionizing an entire industry's customer engagement. We prioritize human connection through technology. If you're driven by purpose and want to make a meaningful impact on people's lives, this is the place for you. Our team challenges norms with the support of a trusted American brand.

• Purpose: A leading professional services firm found that AAA Life associates demonstrate some of the highest levels of commitment, empathy, and dedication when compared to top U.S. companies in a benchmark analysis.
• Growth: We have the privilege to offer our products to tens of millions of Americans that make up the AAA member base
• Focus is on “working families”, “everyday Americans”, “ordinary citizens”, “mainstream population” “average income households”, providing life insurance products that truly impact people's lives (more information will be provided in the interview).
• Team (Culture): USA Today named us a 2024 and 2025 top US workplace

Who are we looking for?

As a Marketing Data Architect and Developer, you will design, build, and automate scalable data pipelines to support marketing analytics. You will collaborate with data scientists, analysts, and marketing teams to prepare data, engineer features, and implement business data automation best practices. This role requires strong Python, SQL, and ML skills, experience with modern data architectures, and a passion for optimizing data workflows and tech stack.

We are looking for a technically skilled, self-motivated, and team-oriented individual who thrives in a fast-paced environment and sees the big picture. The ideal candidate is curious, resilient, optimistic, and takes ownership while collaborating across teams. You should be passionate about solving complex data challenges and turning them into valuable business insights, with a commitment to continuous learning and innovation.

How will you contribute?

• Develop and automate ETL/ELT pipelines for marketing analytics.
• Prepare and clean data for modeling, ensuring availability for ML workflows.
• Implement ML engineering solutions for model deployment and monitoring.
• Optimize data storage, retrieval, and transformation processes.
• Leverage AWS services (S3, Lambda, SageMaker) for data and ML workflows.
• Build and maintain Power BI Data Flows for seamless data integration.
• Design automated testing frameworks for data validation and transformation logic
• Optimize data processes and for efficiency and scalability through intelligent automation
• Create automated monitoring and alerting systems for data quality and pipeline performance
• Collaborates effectively across organizational boundaries with a solutions-oriented attitude
• Exhibits strong social awareness to navigate complex organizational dynamics when implementing cross-functional data systems
• Design and implement process automation solutions to improve end-to-end operational efficiency and scalability
• Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements.

What do you offer?

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field
• 5+ years of experience in data management and analytics
• Strong analytical, technical, and problem-solving skills. Knowledge of machine learning engineering and data science concepts. High proficiency in Python and SQL for data processing and automation.
• Experience building data pipelines using tools like Apache Airflow, Prefect, or similar. Strong knowledge of cloud platforms such as AWS, GCP, or Azure. Hands-on experience with AWS services like S3, Lambda, and SageMaker.
• Hands-on experience with ML engineering practices, including model deployment and monitoring. Experience with Power BI for data visualization and reporting.
• Effective collaboration and persuasive communication skills to work effectively with cross-functional teams. Ability to manage multiple projects and meet deadlines in a fast-paced environment.
• Ability to present complex analytical findings or data and technical challenges with persuasiveness and succinctness
• Embraces feedback and continuously seeks to improve skills and processes. Have a growth mindset with resilience to overcome technical challenges.

What can we offer?

• Enjoy a hybrid work environment that promotes work-life balance.
• Comprehensive medical, dental, and vision coverage starting from your first day.
• Employer 401k match and employer contribution to a pension plan.
• Generous PTO and paid parental leave to support your family needs.
• Opportunities for associate engagement in various social programs and community involvement initiatives backed by the company.