Director Of Retail Actuarial Data

Overview:We are seeking a Director of Retail Actuarial Data to join our Actuarial Data function. This person will lead the data governance and continuous improvement of a modern Actuarial Data platform supporting Retail reporting and analytics. Responsible for managing data quality, stability, and usability of Retail data for modeling, valuation, and other downstream processes as the Retail business scales. This person will be the functional leader representing Actuarial within our Retail business on a day-to-day basis. Our preferred candidate will work on a hybrid in-office schedule at one of our offices in Hartford, CT., New York, NY. or Charlotte, NC.

Responsibilities:

The Director of Retail Actuarial Data will have end-to-end ownership of Actuarial Retail Data Platform which entails:

Oversee the full Retail data lifecycle across source admin systems: Retail Datalake Actuarial Retail Lakehouses business user destinationsAct as a delegate representing the interests of Actuarial executive leadership and advocate for our data needs to upstream partiesAct as a liaison between Actuarial and other functions like IT, Finance, and Operations, ensure communication and alignment across multiple forumsGather and define business and technical requirements for additional enhancements to our suite of products as well as high value capabilities on Retail's strategic business planMaintain an understanding of overall architecture and own the evolution of the Retail Actuarial Data Platform, driving improvements in scalability, reliability, and usability for business-critical processesMonitor daily data quality to promote complete and accurate data for various reporting purposes while proactively communicating any failures and resolutions to stakeholdersEscalate and prioritize data defects and enhancements as they arise, as well as perform UAT or validation for issue closureEnhance control frameworks and implement review processes in an efficient and automated mannerShape how Retail Actuarial data is governed, validated, and delivered to enable faster actuarial analysis and decision-making

Qualifications:

Bachelor's degree in a quantitative fieldMinimum of 6 years of relevant experience in actuarial data, data engineering, data science, or related fields within the insurance industry.

Strong proficiency with SQL and relational database concepts; familiarity with data engineering tools and ETL concepts; comfortable building complex queries and procedures.Experience using AI tools and models in various work applications and contextsExperience with scripting languages (e.g., Python/PySpark) or data visualization tools (e.g., Power BI) is preferred.Familiarity with actuarial processes and the types of data used in actuarial modeling, valuation, and experience studies (e.g., policyholder data, transaction data, input/output data).Actuarial exams or studies a plusAbility to work independently and collaboratively in a fast-paced, technical environmentExcellent problem-solving and communication skills.