Data Engineering Director - Hybrid
American Financial Group
- Location
- Richfield, OH (USA)
- Work model
- Hybrid
- Level
- Staff
- Posted
- 21h ago
About this role
National Interstate is a member of Great American Insurance Group. As one of the leading commercial transportation insurers in the nation, we offer risk financing solutions in all 50 states tailored to meet the needs of a wide variety of transportation classes. Our offerings include traditional insurance and innovative alternative risk transfer (ART) programs, including more than a dozen group captive programs catering to niche wheels markets. We are proud to be a multiple Northcoast 99 winner and Cleveland Plain Dealer Top Workplace in Northeast Ohio. It is because of our talented and dedicated team that we are able to live out our company values of integrity, transparency, fairness, accountability, empowerment and collaboration with each transaction we make. If you are ready to join an engaging and driven team such as ours, we would love to hear from you! At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best. 
This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship. Since 1989, National Interstate has specialized in serving the insurance needs of the wheels-based transportation industry. Our steadfast focus on developing niche expertise in product design, loss control and claim services has made National Interstate one of the most respected names in commercial transportation insurance today. (https://natl.com/) National Interstate is looking for a Data Engineering Director to join their team. This individual will either work hybrid from the Richfield, OH office 3 days per week. National Interstate’s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on-site a minimum of three days a week, with the potential to work two days remotely. Core in‑office days are Tuesday, Wednesday and Thursday but will be determined by business needs. Essential Job Functions and Responsibilities Accountable for overseeing the Data Engineering team operations, enhancing workflow efficiency, and maintaining high productivity levels. Responsible for overseeing strategic planning and execution to align data engineering initiatives with organizational goals and objectives, ensuring long-term success and innovation. Oversees the design, development, and optimization of data pipelines and architectures to support data integration, storage, and retrieval needs. Provides leadership and guidance on the implementation of ETL processes, ensuring seamless data flow between systems and maintaining high standards of data quality. Fosters a collaborative environment among business analysts, project managers, and other stakeholders to understand business needs and translate them into technical requirements, providing regular updates on project status and progress. Oversees the adoption and integration of cutting-edge technology best practices to significantly enhance operational performance, scalability, and resilience across the organization. Provides strategic mentorship and guidance to team members, promoting best practices and fostering a culture of continuous improvement. Continuously evaluates, adopts, and implements industry-leading best practices to maintain a competitive edge and drive technological advancements. Performs other duties as assigned. Strategic Business Leadership & Domain Expertise : Experience with Data strategy for P&C insurance business domains including Underwriting, Claims, Operations, Finance, and Customer Experience, serving as primary business-technology connector for data initiatives Leader of enterprise digital transformation by establishing foundational data governance practices, operational data