Travelers - Hartford, CT
posted 2 months ago
As a Senior Data Engineer at Travelers Insurance, you will play a pivotal role in the Data Engineering team, which is responsible for constructing data pipelines that provide easy access to data across the enterprise. This position is crucial for accelerating the growth and transformation of our analytics landscape. You will be expected to guide team members' growth and develop data solutions that translate complex data into user-friendly terminology. Your primary responsibilities will include leading and partnering with various teams, including Actuarial Product, Architecture, and data leadership, to prioritize, scope, and implement data solutions for key initiatives such as pricing and data modernization efforts. In this role, you will identify opportunities to consolidate and implement common data pipelines for Business Insurance Analytics and Research (BIAA) processes. You will also be responsible for identifying strategic data sources for use cases, performing data analysis to develop specifications, and collaborating with various stakeholders to drive consensus on the design and delivery of data solutions. Your expertise will be essential in building and operationalizing complex data solutions, correcting problems, applying transformations, and recommending data cleansing and quality solutions. Additionally, you will design complex data solutions that incorporate new data sources while ensuring consistency across projects and alignment with data strategies. You will perform analysis of complex data sources to determine their value and recommend data to include in analytical processes. As a subject matter expert, you will support delivery and educate end users on data products and the analytic environment. Your role will also involve performing data and system analysis, assessing and resolving defects and incidents of high complexity, and collaborating across teams to support delivery and educate end users on complex data products. Overall, this position requires a strong technical background, excellent communication skills, and the ability to lead and mentor junior data engineers in implementing effective data solutions.