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 12 Actuarial Retail Lakehouses 12 business user destinations
- Act as a delegate representing the interests of Actuarial executive leadership and advocate for our data needs to upstream parties
- Act as a liaison between Actuarial and other functions like IT, Finance, and Operations, ensure communication and alignment across multiple forums
- Gather and define business and technical requirements for additional enhancements to our suite of products as well as high value capabilities on Retails strategic business plan
- Maintain 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 processes
- Monitor daily data quality to promote complete and accurate data for various reporting purposes while proactively communicating any failures and resolutions to stakeholders
- Escalate and prioritize data defects and enhancements as they arise, as well as perform UAT or validation for issue closure
- Enhance control frameworks and implement review processes in an efficient and automated manner
- Shape how Retail Actuarial data is governed, validated, and delivered to enable faster actuarial analysis and decision-making
Qualifications:- Bachelors degree in a quantitative field
- Minimum 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 contexts
- Experience 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 plus
- Ability to work independently and collaboratively in a fast-paced, technical environment
- Excellent problem-solving and communication skills.
Compensation:This range represents the minimum and maximum annual base salary we reasonably expect to pay for this role at the time of posting. The actual base pay could vary and may be above or below the listed range. The base pay is based on factors including but not limited to experience, competence, and demonstration of proficiencies essential for the role. The base pay is just one component of Talcotts total annual compensation for employees. Other compensation may include annual bonuses, long-term incentives and recognition.
*This role is not eligible for visa sponsorship. Applicants must be authorized to work in the United States on a full-time basis without current or future visa sponsorship.
