Product Manager, R&D - IntelliScript (Remote)

Milliman•Brookfield, WI

2d•Remote

About The Position

Milliman IntelliScript is seeking a Product Manager, R&D to lead experimentation across the product lifecycle, from discovery through early adoption and transition. The R&D team tests the viability of products and capabilities intended to generate revenue and improve operational efficiency through software, data, and emerging technologies. The role combines strategic judgment with hands-on execution and requires comfort with ambiguity, versatility, product judgment, and technical curiosity. The Product Manager will work closely with engineering, data science, design, clinical, operational, commercial, and other stakeholders to test the viability and impact of ideas. They will use evidence and feedback to determine whether initiatives should be scaled, refined, transitioned to another team, or stopped. The role also includes identifying and evaluating AI and other emerging-technology opportunities, shaping responsible AI-enabled experiments, and creating reusable approaches that help teams adopt proven capabilities. This position is open to remote work anywhere in the United States. The employee must be willing to travel to Milliman’s Brookfield, Wisconsin office and to client sites, industry conferences, and other destinations, most often for day trips, nationwide, up to 10% of the time. The expected application deadline is January 31, 2027.

Requirements

At least 5 years of relevant experience in product management, product development, software R&D, innovation, or related roles; healthcare technology or other data-intensive domains are preferred.
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, including opportunities, limitations, quality considerations, and responsible-use practices.
Excellent written and verbal communication skills, with the ability to influence 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 ability to connect strategy, user needs, technical feasibility, risk, and measurable value.
Experience collaborating 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 turning uncertain opportunities into structured learning plans and decisions.
Track record of prioritizing product work and making tradeoffs across impact, effort, risk, dependencies, and speed to learning.
Ability to build alignment, constructively challenge assumptions, 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, able to take ownership, work independently, and collaborate in a fast-moving, ambiguous environment.
Proactive in seeking input, sharing insights, enabling others, and taking on strategic or hands-on work as needed.
Willingness to travel to the Milliman office in Brookfield, Wisconsin, and to client sites, conferences, and other destinations, up to 10% of the time.

Nice To Haves

Advanced degree, diploma, or certification in a related field such as 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, or other healthcare datasets.
Familiarity with HIPAA regulations and experience in a HIPAA-compliant environment.
Background in healthcare, life sciences, legal services, insurance, or another data-intensive or regulated industry.
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.

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 with engineering, data science, design, clinical, operations, and other stakeholders to deliver outcomes and make product tradeoffs.
Maintain product roadmaps and coordinate cross-functional teams to align work and deliver project milestones.
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, or stopped.
Contribute to user acceptance testing and quality assurance by identifying defects and ensuring releases meet quality standards.
Communicate product strategy, evidence, tradeoffs, risks, and recommendations to technical and non-technical audiences, including senior leaders.
Support transition of validated solutions to long-term owners, including training and documentation.
Serve as a product expert in client and internal conversations, supporting early sales and adoption.
Identify and evaluate opportunities to use AI, including generative AI, in 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 AI use.
Structure experiments using emerging technologies and make recommendations about their use.
Create reusable approaches, guidance, and product patterns that help teams adopt proven capabilities.
Champion responsible experimentation, rapid learning, knowledge sharing, and evidence-based decision-making.

Benefits

Medical, dental, and vision coverage for employees, dependents, and domestic partners.
Employee Assistance Program providing confidential personal and work-related support.
401(k) plan with company matching and profit-sharing contributions.
Discretionary bonus program.
Flexible Spending Accounts for dependent care, transportation, and eligible medical expenses.
Paid time off accruing from the first day of work; full-time employees accrue 15 days per year, prorated for employees working less than full-time.
At least 10 paid holidays per year.
Family-building benefits, including adoption and fertility assistance.
Up to 11 weeks of paid parental leave for employees who meet eligibility criteria.
Life insurance and AD&D premiums fully covered by Milliman.
Short-term and long-term disability coverage fully paid by Milliman.
Skills training, career development, learning opportunities, and mentoring.