Lead AI Actuarial Systems Analyst

Transamerica

Cedar Rapids (IA)

Hybrid

USD 100,000 - 125,000

Full time

14 days+

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Benefits offered by this job

Pension Plan

401k Match

Employee Stock Purchase Plan

Tuition Reimbursement

Disability Insurance

Medical Insurance

Dental Insurance

Vision Insurance

Employee Discounts

Career Training & Development Opportun

Paid Time Off

10 paid holidays per year

Be Well wellness program

Parental Leave

Adoption Assistance

Employee Assistance Program

Back-Up Care Program

Volunteer PTO

Employee Matching Gifts

Employee Resource Groups

Inclusion & Diversity Programs

Employee Recognition Program

Referral Bonus Programs

Job summary

Transamerica in Cedar Rapids, IA is seeking a Lead Business Analyst – IT Actuarial to shape AI-powered actuarial systems and decision-making. This role bridges actuarial experts, IT, and business stakeholders to ensure future-ready data, models, and automation across Life, Health, Retirement, and Annuity products.

Responsibilities cover AI opportunity identification, requirements gathering, technical translation, data governance, testing, and change management.

Qualifications

Bachelor's degree in business, information systems, mathematics, actuarial science, computer science, or 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.

Responsibilities

Lead with an AI-first perspective to identify opportunities where AI, 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.