
Senior Forward Deployed Actuary
Posted 19 hours ago

Posted 19 hours ago
This is a fully remote position, open to applicants in Alaska, +11 more states.
β’ Assist practices in addressing client needs for AI transformation capabilities.
β’ Identify opportunities, lead diagnostic workshops, create proposals, and formulate AI use cases.
β’ Convert client strategic goals, target operating models, and workflow challenges into AI transformation roadmaps, use case portfolios, and implementation strategies.
β’ Link AI use cases to quantifiable business value, adoption requirements, and scalable delivery methods.
β’ Analyze insurance workflows, decision-making processes, handoffs, controls, data flows, expert reasoning patterns, and areas of concern.
β’ Revamp target workflows centered around AI-driven delivery, automation, expert judgment, human oversight, governance, auditability, and change management.
β’ Document expert knowledge in AI-optimized artifacts such as reasoning workflows, process documentation, prompt patterns, knowledge bases, evaluation criteria, and agentic workflow specifications.
β’ Collaborate in designing AI-enabled solutions alongside business experts, AI engineers, and product owners.
β’ Provide guidance on enterprise AI tools, generative AI, knowledge assistants, agentic workflow platforms, document intelligence, evaluation techniques, and responsible AI governance.
β’ Establish requirements, success metrics, validation methodologies, adoption considerations, and handoff materials for prototypes, MVPs, and scalable implementations.
β’ Partner with practice leaders, domain experts, AI engineers, and AI architects.
β’ Create reusable methods and resources, coordinate demand across practices, and contribute to the establishment of a scalable AI business engagement and engineering capability.
β’ Must be legally authorized to work in the United States without requiring immigration support or sponsorship from Milliman now or in the future.
β’ Bachelorβs or Masterβs degree in Actuarial Science, Engineering, Computer Science, Applied Mathematics, Data Science, Business, Finance, Insurance, or a related quantitative or business discipline.
β’ 6β8 years of pertinent professional experience in insurance, actuarial consulting, business transformation, operations, data management, technology-enabled consulting, or related sectors.
β’ Experience in supporting business development, proposal preparation, client workshops, solution scoping, or transformation roadmap creation.
β’ Exceptional communication and stakeholder management abilities.
β’ Capacity to connect senior business leaders, subject matter experts, AI engineers, technology teams, and client delivery teams.
β’ Entrepreneurial mindset with structured problem-solving skills and commercial insight.
β’ Eagerness to develop a new capability within a rapidly evolving AI Solutions practice.
β’ In-depth knowledge of insurance workflows in actuarial, underwriting, claims, reporting, compliance, risk, or related functions.
β’ Proficiency in mapping business processes, organizing expert knowledge, identifying improvement opportunities, and translating ambiguous business issues into actionable solution requirements.
β’ Ability to collaborate on requirements, prototype design, evaluation, architectural considerations, security constraints, deployment alternatives, and production-readiness gaps.
β’ Practical understanding of enterprise AI tools, including chat, coding, active agents, workflow automation, document intelligence, data analysis, and prototyping environments.
β’ Working proficiency with LLMs, prompt design, retrieval-augmented generation, knowledge assistants, agentic workflows, evaluation methods, human-in-the-loop design, and responsible AI practices.
β’ Competitive salary and performance-based bonuses.
β’ Comprehensive health, dental, and vision insurance.
β’ Flexible work hours and remote work opportunities.
β’ Professional development and continuous learning programs.
β’ Collaborative and inclusive company culture.
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