Senior Forward Deployed Actuary

Job not on LinkedIn

🔥 1 minute ago

🐻 Alaska, California, +10 more states – Remote

🐻 Alaska – Remote 🏄 California – Remote 🦌 Connecticut – Remote 🌽 Illinois – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $168.4k - $319.4k / year

⏰ Full Time

🟠 Senior

📊 Actuary

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Milliman

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1947

🏥 Healthcare

🛡️ Insurance

💼 Consulting

Healthcare • Insurance • Consulting

Milliman is an independent global actuarial and consulting firm founded in 1947 that provides expertise in insurance, healthcare, retirement and employee benefits, risk management, and related financial services. The firm combines actuarial rigor, data science, and technology to deliver consulting, modeling, software, and advisory solutions to public- and private-sector clients addressing challenges such as healthcare costs, market volatility, climate risk, and program design. Milliman operates worldwide with multidisciplinary teams including actuaries, data scientists, clinicians, and software engineers.

📋 Description

• Support practices in responding to client demand for AI transformation capabilities • Shape opportunities, facilitate diagnostic workshops, develop proposals, and develop AI use cases • Translate client strategic priorities, target operating models, and workflow pain points into AI transformation roadmaps, use case portfolios, and implementation pathways • Connect AI use cases to measurable business value, adoption requirements, and scalable delivery • Map insurance workflows, decision processes, handoffs, controls, data flows, expert reasoning patterns, and pain points • Redesign target workflows around AI-enabled delivery, automation, expert judgment, human oversight, governance, auditability, and change management • Capture expert knowledge in AI-ready artifacts such as reasoning workflows, process documentation, prompt patterns, knowledge bases, evaluation criteria, and agentic workflow requirements • Co-design AI-enabled solutions with business experts, AI engineers, and product owners • Advise on enterprise AI tools, generative AI, knowledge assistants, agentic workflow platforms, document intelligence, evaluation methods, and responsible AI controls • Define requirements, success measures, validation approaches, adoption considerations, and handoff materials for prototype, MVP, and scalable implementation • Work with practice leaders, domain experts, AI engineers, and AI architects • Develop reusable methods and assets, coordinate demand across practices, and help build a scalable AI business engagement and engineering capability

🎯 Requirements

• Must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future • Bachelor’s or Master’s degree in Actuarial Science, Engineering, Computer Science, Applied Mathematics, Data Science, Business, Finance, Insurance, or a related quantitative or business field • 6–8 years of relevant professional experience in insurance, actuarial consulting, business transformation, operations, data management, technology-enabled consulting, or related fields • Experience supporting business development, proposal writing, client workshops, solution scoping, or transformation roadmap development • Excellent communication and stakeholder management skills • Ability to bridge senior business leaders, subject matter experts, AI engineers, Technology teams, and client delivery teams • Entrepreneurial mindset, structured problem-solving, and commercial awareness • Willingness to build a new capability within a fast-evolving AI Solutions practice • Strong understanding of insurance workflows across actuarial, underwriting, claims, reporting, compliance, risk, or adjacent functions • Ability to map business processes, structure expert knowledge, identify improvement opportunities, and translate ambiguous business problems into practical solution requirements • Ability to collaborate on requirements, prototype framing, evaluation, architecture considerations, security constraints, deployment options, and production-readiness gaps • Practical understanding of enterprise AI tools across chat, coding, active agents, workflow automation, document intelligence, data analysis, and prototyping environments • Working fluency with LLMs, prompt design, retrieval-augmented generation, knowledge assistants, agentic workflows, evaluation approaches, human-in-the-loop design, and responsible AI principles

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