The Lead Business Analyst – IT Actuarial plays a pivotal role in shaping how artificial intelligence enhances actuarial systems and decision‑making. This role leads with an AI mindset—identifying, defining, and enabling AI‑driven solutions—while serving as the bridge between actuarial experts, IT teams, and business stakeholders. The position ensures actuarial platforms, data, and models are future‑ready, leveraging automation, advanced analytics, and emerging AI capabilities across Life, Health, Retirement and Annuity products.

Responsibilities

  • Lead with an AI‑first perspective to identify opportunities where artificial intelligence, automation, and advanced analytics can improve actuarial systems and processes. 
  • Partner with actuarial business teams to gather, analyze, and document requirements, with a focus on AI‑enabled use cases such as predictive insights, automation, deep research and decision support. 
  • Translate complex actuarial concepts into clear technical and AI‑ready specifications for IT, data, and AI engineering teams. 
  • Collaborate with AI, data engineering, and platform teams to support AI‑driven enhancements, data integrations, and modernization initiatives. 
  • Define and document requirements for actuarial data usage in AI/ML workflows, including data quality, lineage, and governance considerations. 
  • Work closely with QA and validation teams to define test scenarios and validate AI outputs and system results against actuarial expectations. 
  • Serve as a strategic bridge between business outcomes and AI‑enabled technical execution, ensuring clarity and alignment throughout delivery. 
  • Research, evaluate, and propose AI approaches for actuarial modeling, risk assessment, process optimization, and analytics. 
  • Support change management, documentation, and stakeholder communication related to AI adoption within actuarial functions. 
  • Promote responsible AI usage, explainability, and transparency in actuarial systems and analytics. 

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Qualifications

  • Bachelor’s degree in business, Information Systems, Mathematics, Actuarial Science, Computer Science, or a related field. 
  • Proven experience as a Business Analyst in an IT, actuarial, data, or analytics‑focused environment. 
  • Strong understanding of Life, Health, Retirement and Annuity insurance products and actuarial processes. 
  • Demonstrated ability to translate business and actuarial needs into AI‑aware functional and technical requirements. 
  • Familiarity with data‑driven systems, data integrations, and analytics platforms. 
  • Working knowledge of data analysis tools such as SQL, Excel, and BI platforms. 
  • Strong analytical thinking, problem‑solving, and documentation skills. 
  • Excellent communication skills, with the ability to engage effectively with actuarial, technical, and business stakeholders. 

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Preferred Qualifications

  • Hands‑on experience or strong conceptual understanding of AI and machine learning, including predictive modeling, NLP, or decision intelligence. 
  • Experience supporting or partnering on AI‑enabled initiatives within actuarial, finance, or insurance domains. 
  • Technical background in software development, data engineering, or analytics. 
  • Exposure to actuarial or financial data platforms and large‑scale data environments. 
  • Experience with automation, data modernization, or digital transformation initiatives. 
  • Familiarity with Agile or hybrid delivery methodologies. 
  • Experience in insurance or financial services organizations 

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Working Conditions

  • Hybrid Office Environment (Tuesdays, Wednesdays, Thursdays)


This job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request.

Compensation

The Salary for this position generally ranges between $100,000 - $125,000 annually. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.

Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company’s discretion. 

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

  

This is a hybrid position requiring three days in office per week in one of our hub locations (Philadelphia, PA; Cedar Rapids, IA; Denver, CO).  Relocation assistance will not be provided for this position.