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Salary
≈ $115k – $213k per year (Estimated)
Location
In office (Chicago)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 8, 2026. RLDatix scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Healthcare risk, safety & compliance software. Improve patient outcomes, reduce harm and unify operations with RLDatix’s RLD360 platform. Trusted by 10,000+ organizations worldwide.

RLDatix is on a mission to transform care delivery worldwide, ensuring every patient receives the safest, highest-quality care. Through our innovative Healthcare Operations Platform, we're connecting data to unlock trusted insights that enable improved decision-making and help deliver safer healthcare for all.

Job Description

RLDatix (RLD) is on a mission to help raise the standard of care…everywhere. Trusted by over 10,000 healthcare organizations around the world, our solutions help improve health and care. Our applications ensure that patients receive the best and safest care while supporting the providers who deliver it.

Joining TeamRLD means being part of a global effort of over 2,000 team members in making a difference in healthcare…every day.

We're searching for a Chicago-based Senior Product Manager, RLD Intelligence to join our Product Management team, so that we can transform our unified data platform into intelligence, benchmarking, and AI-enabled interventions that improve safety, compliance, and provider management across the RLD360 portfolio. The Senior Product Manager, RLD Intelligence will own the end-user proposition, experience, and market positioning for RLD Intelligence, translating platform capabilities into differentiated products, actionable insights, and new commercial opportunities that deliver measurable customer outcomes.

How You'll Spend Your Time

  • Defining the RLD Intelligence end-user proposition and experience across the RLD360 platform portfolio
  • Translating data platform capabilities into market-facing intelligence products and AI-enabled interventions
  • Designing persona-based experiences for operational leaders, executives, and frontline users
  • Defining conversational AI and AI sidekick experiences embedded within RLD Intelligence
  • Partnering with product, technical, and business leadership to maximize business value
  • Establishing RLD Intelligence positioning, packaging, and value proposition across NAM markets
  • Identifying and developing new market opportunities, products, and commercial offerings derived from RLDatix data

What Kind of Things We're Most Interested in You Having

  • Senior Product Management experience within analytics, data, or AI-driven products
  • Proven success defining end-user data products or intelligence platforms
  • Strong product thinking around user experience and persona-based design
  • Ability to translate platform capabilities into customer-facing products
  • Experience working across multiple product domains
  • Desirable experience in healthcare technology or workforce solutions, AI or conversational products, benchmarking or analytics products, Databricks or modern data platform environments, and enterprise SaaS product strategy
  • A knack for working collaboratively within a cross-functional, market-facing environment

By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. Our benefits package includes health, dental, vision, life, disability insurance, 401K, paid time off, and paid holidays.

RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by Federal and/or State laws.

As part of RLDatix’s commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don’t hesitate to send a note to [email protected].

Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also taken into consideration.

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