Senior Manager, Data Engineering

Design, develop, and implement scalable data infrastructure and pipelines to support advanced analytics and enterprise data solutions. Collaborate with cross-functional stakeholders to ensure efficient integration, transformation, and delivery of data across multiple platforms and business units. Manage the architecture, development, and maintenance of large-scale data pipelines and data warehouses to ensure data quality, reliability, and performance. Collaborate with data scientists, analysts, product managers, and business stakeholders to gather requirements and translate business needs into technical specifications. Oversee data integration from diverse sources, including structured, semi-structured, and unstructured data into centralized platforms using ETL/ELT tools. Centralize different foundational data products into the data lake, deliver data for reports and dashboards to support actuarial pricing and rate monitoring, and implement coding scripts for credible and quality code in the production environment adhering to end user requirements. Promote engineering best practices, including DevOps, CI/CD, and governance standards across the data lifecycle. Implement and monitor data quality processes, including validation, cleansing, and transformation of datasets. Manage project timelines, resource allocation, and deliverables across multiple projects within the data engineering function. Ensure adherence to software development lifecycle (SDLC) methodologies and agile best practices. Collaborate with business and IT stakeholders to identify use cases where GenAI can enhance rate monitoring, policy management, and customer experience. Use LLMs, GenAI, and code generation models to automate code conversion from legacy systems to modern data stacks. Stay current with advancements in AI/ML, GenAI, and MLOps. Assess and pilot new technologies to strengthen the data engineering landscape. Work with building metadata-driven ETL frameworks using Pyspark and Informatica IICS; cloud-native data architecture with Snowflake and AWS; and, application of Gen AI and Code Whisperer for data engineering automation.

Requirements: Master's degree in Statistics, Mathematics, Business Analytics, Data Science, Information Technology, Business Administration, Operations and Technology Management, or a related field of study, plus two (2) years of experience with building metadata-driven ETL frameworks using Pyspark and Informatica IICS; cloud-native data architecture with Snowflake and AWS; and, application of Gen AI and Code Whisperer for data engineering automation. Alternatively, the employer will accept a Bachelor’s degree in Statistics, Mathematics, Data Science, Information Technology, Business Administration, Operations and Technology Management, or a related field of study, plus five (5) years of experience with building metadata-driven ETL frameworks using Pyspark and Informatica IICS; cloud-native data architecture with Snowflake and AWS; and, application of Gen AI and Code Whisperer for data engineering automation.

At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.

Enjoy benefits that take care of what matters

At AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your professional development—to bring peace of mind to you and your family.

Reimagining insurance to make a bigger difference to the world

American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world’s most far-reaching property casualty networks. It is an exciting time to join us — across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.

Welcome to a culture of inclusion

We’re committed to creating a culture that truly respects and celebrates each other’s talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG’s greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.

AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.

AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities.  If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com.  

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Functional Area:

DT - Data

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