AAA Life Insurance Company

Business Analyst

• You will join the Automation and AI team as a critical partner in turning business problems into clear, actionable solutions.
• Work closely with business partners, product owners, technical teams, vendors, and project leaders to understand how work happens today, define what needs to change, and help deliver solutions that improve how AAA Life serves members.
• Gather and translate requirements, create story cards and acceptance criteria, support story mapping, document future-state processes, and help ensure solutions are ready for successful adoption.
• Create Power BI reports and other analysis to track improvements, prove value, identify operational gaps, and, at times, provide a practical stopgap solution when the long-term process or technology is not ready yet.
• Lead and facilitate requirements gathering with business partners, technical teams, QA, vendors, and project teams.

Business Analyst II

Email Marketing Manager

• Partner with internal and external teams to lead all aspects of email campaign management including strategy, technical and creative development, proofing, deployment and monitoring
• Conduct quality assurance testing on email messages; ensure tracking links, images, subject lines, and segmentation links function properly; verify email renders correctly across various email clients; manage deliverability
• Partner closely with IT Development team to troubleshoot technical issues and design, build, and implement new functionality that enables continued growth of email programs
• Lead the effort to expand into other one-to-one communication channels including SMS programs
• Monitor and analyze email campaign performance using key metrics
• Generate reports on campaign performance and provide actionable insights for continuous improvement
• Identify new programs, optimizations, and opportunities to grow the business through the development and management of new email marketing strategies
• Provide consultation and recommendations to business stakeholders regarding email best practices, industry standards and regulations
• Lead AAA Life’s email experimentation practice across the entire lifecycle from hypothesis development to test execution and measurement
• Conduct extensive testing and analysis of email marketing efforts including delivery time, creative layout, messaging, subject line testing, and segmentation performance to develop best practices for ongoing email campaigns

Senior Email Marketing Specialist

Solutions Engineer

• Define and own architecture for intelligent automation initiatives across underwriting, new business, claims, and policy servicing
• Lead end-to-end solution design from discovery through production deployment, including scalability, resilience, and operational support models
• Establish architecture standards, reusable patterns, and reference designs for document ingestion, classification, extraction, validation, and straight-through processing (STP)
• Architect hybrid cloud solutions leveraging AWS and/or Azure integrated with core policy administration, CRM, and document management systems
• Design and govern API and event-driven integration strategies across enterprise platforms using modern integration patterns (REST, messaging, iPaaS)
• Design and oversee document intake and processing pipelines for applications, medical records (APS), claims, policy documents, and servicing correspondence
• Evaluate and select appropriate automation approaches (RPA, IDP, LLM-based extraction, or agentic workflows) based on accuracy, cost, latency, and explainability
• Act as the technical authority across automation modalities, including RPA (UiPath, Power Automate), IDP platforms, and LLM-based agentic workflows
• Partner with Machine Learning Engineers to design and deliver agentic AI systems for document understanding, reasoning, and workflow orchestration
• Define evaluation frameworks, observability standards, and human-in-the-loop controls for AI-driven processes in regulated environments
• Translate complex insurance business processes and rules into scalable automation architectures with clear auditability and exception handling
• Lead technical decision-making across tools, platforms, and vendors, balancing cost, performance, maintainability, and risk
• Establish and enforce security-by-design principles, including data protection, identity management, and compliance with PII/PHI requirements
• Drive measurable improvements in operational metrics such as cycle time, manual touch reduction
• Ensure solutions meet regulatory and governance standards applicable to life insurance, including audit, traceability, and model risk considerations
• Serve as the primary technical lead for MSP and vendor engagements, including architecture oversight, delivery governance, and SLA accountability
• Partner with business leaders to define automation roadmaps aligned with measurable outcomes such as cycle time reduction, accuracy improvement, and cost efficiency
• Mentor engineers and architects, elevating architectural rigor, documentation standards, and engineering maturity across the organization

Solution Architect, Automation

Operations

• Lead the identification, redesign, and implementation of end-to-end business processes to enable automation and AI at scale
• Partner with business leaders to uncover inefficiencies, challenge legacy workflows, and define future-state operating models
• Translate business problems into automation and AI-enabled solutions, working closely with architects and developers to deliver outcomes
• Drive the full lifecycle of initiatives—from problem identification and solution design through implementation, adoption, and measurable impact
• Ensure solutions are scalable, sustainable, and aligned with enterprise architecture and long-term strategy
• Act as the bridge between business and technology, ensuring solutions are both technically feasible and operationally effective
• Influence stakeholders across all levels without direct authority, building alignment and momentum for change
• Establish and track success metrics, including time to serve members, quality improvements, and overall experience enhancements
• Identify opportunities to expand automation and AI capabilities across functions, helping scale impact across the organization
• Continuously evaluate emerging tools and technologies to enhance automation and AI capabilities

Senior Consultant, Operations Process Innovation

Machine Learning Engineer

• Establish engineering standards, best practices, and evaluation frameworks for AI systems
• Lead technical decision-making for model selection, system design, and deployment strategies
• Act as the subject matter expert for agentic AI and modern LLM-based systems within the organization
• Architect and deliver production-grade, multi-step AI agents capable of autonomous reasoning, tool orchestration, task decomposition, memory management, and human-in-the-loop escalation
• Design and deliver AI systems on enterprise cloud platforms (e.g., AWS, Azure), including LLM services (AWS Bedrock, Azure OpenAI)
• Own the agent evaluation and observability stack, including benchmarking, tracing, regression testing, and performance monitoring
• Optimize LLM inference costs and resource utilization for production workloads
• Partner with business leaders to identify, prioritize, and shape AI-driven initiatives aligned with organizational goals
• Translate complex business problems into scalable AI solutions with measurable impact
• Drive roadmap planning and investment decisions related to AI and automation
• Collaborate with IT, data engineering, and operations teams to integrate AI solutions into enterprise systems
• Mentor and develop machine learning engineers and data scientists
• Provide technical guidance and elevate team capabilities in modern AI practices
• Ensure responsible and compliant use of AI systems, including managing risks related to model behavior, data usage, and regulatory considerations in a highly regulated industry
• Lead evaluation and integration of external AI platforms and vendors, including assessment of cost, intellectual property, scalability, security, and long-term architectural impact

Principal Machine Learning

Compliance

• Conduct independent annuity suitability reviews and partner with agents to obtain timely suitability approvals, serving as a trusted compliance resource.
• Review and process new and in‑force annuity applications, ensuring all documentation is complete, accurate, and aligned with regulatory and company standards.
• Evaluate policy changes and service requests—including beneficiary updates, contract transfers, and partial or full withdrawals—ensuring timely and compliant execution.
• Manage annuity payment requests such as annuitization elections and recurring disbursements with attention to accuracy and member experience.
• Ensure all processing and review activities comply with regulatory requirements, internal policies, and industry best practices.
• Maintain strong, collaborative relationships with agents, field leadership, applicants, vendors, and internal business partners, proactively monitoring cases and reporting to support sales objectives while protecting member interests.

Senior Annuity Compliance Specialist

Project Manager

• Track and report on IT project performance, including actual vs spend, forecasted costs, delivery milestones, and KPI progress
• Monitor financial performance across IT initiatives, ensuring alignment with budgets, forecasts, and expected value realization
• Consolidate updates from Transformation Office, Initiative Leads (including Product Owners and Scrum Masters), Finance and COE Managers into executive-ready reporting
• Identify, analyze, and escalate delivery risks, dependencies, and performance gaps
• Prepare standardized metrics reports and dashboards for Steering Committee (SteerCo), Technology Leadership, and executive stakeholders to support governance and decision-making
• Partner with Finance to validate financial data, including capital vs. expense spend, labor, and vendor costs
• Ensure consistency and integrity of reporting across the IT portfolio, including adherence to PMO standards and governance frameworks
• Support reporting across Agile, Waterfall, or hybrid delivery methodologies
• Participate in recurring forums (e.g., IT Transformation stand-ups, finance reviews) to surface insights and ensure alignment

Project Analyst – IT

• Partner with transformation and technology leadership to define what, when, and how to communicate—developing core materials including leadership briefings, release communications, and end-user messaging.
• Execute the IT transformation communications plan, ensuring leadership-aligned messaging, consistent narratives, and appropriate cadence across stakeholder groups.
• Collaborate with IT workstreams (e.g., engineering, infrastructure, data) to translate leadership intent into audience-specific communications for impacted teams.
• Gather, synthesize feedback to technology transformation, and analyze trends in associate feedback, business partner stakeholders.
• Monitor user adoption trends and recommend actions to improve engagement and change acceptance.
• Track and report on workforce readiness and capability KPIs tied to IT delivery milestones (e.g., training completion, role transitions, system adoption rates).
• Translate change progress and organizational signals into concise, executive-ready reports.
• Partner within the Transformation Management Office (TMO) as well as technology leadership, and HR to support upskilling, reskilling, and workforce transition efforts.
• Partner with Corporate Communications to deliver culture-informed change communications aligned to system releases, agile sprints, and key program milestones.
• Proactively identify and escalate staff-related risks, using analytical problem-solving to evaluate impact and recommend practical mitigation strategies.

Project Change Management Analyst – IT

Manager

• Lead the development and evolution of enterprise learning and development strategy.
• Design and oversee learning programs that support role readiness, capability building, and leadership development.
• Partner with business leaders, subject matter experts, and trainers to assess needs and define program outcomes.
• Own curriculum development standards, ensuring quality, consistency, and scalability across programs.
• Build and maintain toolkits, templates, and shared content to enable trainers and facilitators.
• Collaborate with HR and Learning Partners to align training priorities with business needs.
• Measure and evaluate program effectiveness using feedback, surveys, and performance data.
• Incorporate learning technologies and innovative approaches into program design.
• Manage external vendors and content partnerships as needed.
• Support engagement, succession, and team development initiatives through learning solutions.

Manager, Learning, Development & Training

Actuary

• This role leads enterprise risk management activities, with ownership of asset model conversions and Asset‑Liability Management (ALM)
• The position is accountable for assessing financial resilience through integrated ALM frameworks
• The role serves as a subject‑matter expert and strategic partner to Investments, Finance, ERM, and Valuation
• The individual is expected to operate independently at a senior level, influence decisions, and communicate results to actuarial leadership and risk committees
• Lead asset model conversion initiatives, including development, enhancement, governance, and maintenance of asset and liability models supporting all lines of life insurance and annuities
• Utilize asset projection platforms such as BondEdge and/or Bloomberg, and actuarial modeling tools such as MG‑ALFA or Slope
• Ensure models support multiple use cases, including Valuation, Corporate Planning, Investment Analysis, Cash Flow Testing (CFT), Principle‑Based Reserving (PBR), Reinsurance, and Capital Projections
• Lead Asset‑Liability Management (ALM) valuations, including CFT and capital projections
• Monitor and incorporate evolving actuarial standards and regulatory changes into modeling and valuation processes
• Partner with Investments, Finance, ERM, Valuation and IT to ensure alignment across modeling frameworks, assumptions, and risk assessments
• Clearly communicate complex actuarial results and recommendations to actuarial leadership, senior management, and risk committees
• Provide technical guidance, coaching, and mentorship to less‑experienced actuaries, promoting sound actuarial practices and knowledge sharing

Senior Actuary

Consultant

• Perform suitability reviews and work with the agents to get suitability approval.
• Review and process incoming annuity applications, ensuring all required documentation is complete and accurate.
• Review policies/applications both inforce and new applications for suitability.
• Process policy modifications, such as beneficiary updates, contract transfers, and partial and full withdrawals for all forms of withdrawals, in a timely manner.
• Handle requests for annuity payments, including annuitization and scheduled disbursements.
• Ensure all processing activities adhere to regulatory requirements, internal policies, and industry best practices.
• Proactively monitor reporting and cases to assure that sales objectives are achieved.

Annuity Suitability Consultant

Data Analyst

• Operating within the core values and operating principals of the organization, the Data Analyst III ensures that AAA Life Insurance makes effective business and operational decisions.
• Collects, cleans, and analyzes data across compliance functions (e.g., complaints, AML, advertising review, agent conduct, privacy, licensing).
• Builds and maintains data dashboards, metrics, and reporting tools to monitor compliance performance and detect emerging risks.
• Develops analytics models and trend analyses to identify patterns of potential misconduct or non-compliance.
• Prepares executive-level dashboards and board reports summarizing compliance trends and insights.