Product Manager, R&D - IntelliScript (Remote)

Milliman IntelliScript is hiring a Product Manager, R&D to lead experimentation from discovery through early adoption and transition. The role partners with cross-functional teams to assess product and technology opportunities, guide AI-enabled initiatives, and decide whether solutions should be scaled, refined, handed off, or stopped.

Responsibilities:

• Identify and frame opportunities across new products, product features, reusable capabilities, workflow improvements, and emerging-technology experiments
• Define product vision, target outcomes, success measures, and learning objectives appropriate to each initiative’s maturity and purpose
• Translate project needs into clear requirements, backlog items, and process flows
• Engage users, clients, and internal stakeholders through discovery, concept validation, demonstrations, pilots, and feedback sessions
• Partner closely with engineering, data science, design, clinical, operations, and other stakeholders to deliver meaningful outcomes and make sound product tradeoffs
• Maintain product roadmaps and coordinate cross-functional teams to ensure alignment and timely delivery of project milestones
• Rapidly develop and evaluate prototypes, proofs of concept, and lightweight MVPs to test assumptions and inform investment decisions
• Use evidence and feedback to recommend whether initiatives should be scaled, refined, transitioned to another team, or stopped
• Contribute to user acceptance testing (UAT) and quality assurance (QA), identifying defects and ensuring each release meets quality standards
• Communicate product strategy, evidence, tradeoffs, risks, and recommendations clearly to technical and non-technical audiences, including senior leaders
• Support transition of validated solutions long-term owners, including training and documentation
• Serve as product expert in client and internal conversations, supporting early sales and adoption
• Identify and evaluate opportunities to use AI—including generative AI—to improve product development, internal workflows, client solutions, and product experiences
• Shape AI-enabled features and experiments by defining user problems, expected value, evaluation criteria, guardrails, and human oversight
• Partner with technical, data science, security, privacy, legal, clinical, and compliance stakeholders to support responsible and appropriate AI use
• Structure experiments that utilize other emerging technologies and make recommendations around use
• Create reusable approaches, guidance, and product patterns that enable other teams to adopt proven capabilities effectively
• Champion a culture of responsible experimentation, rapid learning, knowledge sharing, and evidence-based decision-making

Requirements:

• Minimum 5 years of relevant experience in product management, product development, software R&D, innovation, or related roles
• Demonstrated success leading ambiguous, cross-functional product work from discovery and experimentation through validation, delivery, and adoption
• Experience translating complex needs into product strategy, requirements, and measurable outcomes
• Working knowledge of AI-enabled product development and the opportunities, limitations, quality considerations, and responsible-use practices associated with AI
• Excellent written and verbal communication skills, with the ability to influence across technical, business, and senior stakeholder groups
• Proficiency with product-development and collaboration tools such as Jira, Confluence, Microsoft 365, or comparable platforms
• Strong product judgment and the ability to connect strategy, user needs, technical feasibility, risk, and measurable value
• Experience collaborating deeply with engineering, data, design, and domain experts to deliver products, features, prototypes, or reusable capabilities
• Ability to identify high-value AI use cases and partner with technical teams to evaluate AI-enabled experiences and outputs
• Comfort experimenting with emerging technologies and converting uncertain opportunities into structured learning plans and decisions
• Track record of prioritizing product work and making clear tradeoffs across impact, effort, risk, dependencies, and speed to learning
• Ability to build alignment, challenge assumptions constructively, and influence decisions without formal authority
• Analytical mindset and evidence-based decision-making skills
• Constructive, “can do” approach to overcoming obstacles
• Self-motivated and adaptable, with the ability to take ownership, work independently, and collaborate effectively in a fast-moving, ambiguous environment
• Proactive in seeking input, sharing insights, enabling others, and stepping into strategic or hands-on work wherever needed to move initiatives forward
• preferably within healthcare technology or other data intensive domains
• Advanced degree, diploma, or certification in a related field (e.g., Product Management, Business Analysis, Healthcare Informatics, Data Science, or Artificial Intelligence)
• Experience bringing AI-enabled products or features from concept through production, including evaluation, monitoring, or human-in-the-loop design
• Experience with AI-assisted product-development tools, prompt design, model evaluation, or rapid prototyping
• Experience working with clinical data, such as medical claims, electronic health records (EHR), or other healthcare datasets
• Familiarity with HIPAA regulations and experience working in a HIPAA-compliant environment
• Background in healthcare, life sciences, legal services, insurance, or other data-intensive or regulated industries
• Hands-on experience planning and performing UAT or product-focused QA
• Experience presenting recommendations to senior leadership and facilitating cross-functional decision-making
• Familiarity with agile, lean, design thinking, or other modern product-development and experimentation approaches