Associate Business Analyst (AI)

RLDatix•Chicago, IL

7d•Hybrid

About The Position

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 AI Focused Business Analyst to join the Office of the CEO, so that we can rapidly explore, prototype, and prove AI‑powered ways of working for leaders and teams across RLDatix. This AI focused Business Associate will run daily experiments, turn ideas into tangible assets, and help identify which tools and patterns are worth scaling across the company. You will work directly with a senior leader in the Office of the CEO and collaborate across business units to pick up important AI‑related work that lacks clear ownership, ensuring promising ideas and experiments don’t fall through the cracks.

Requirements

2+ years of professional working experience with clear, concrete examples of using AI in practical, everyday ways (e.g., automations, side projects, research workflows, content creation, light scripting/agents, or similar).
Demonstrated ability to use AI tools hands‑on (such as ChatGPT/Claude/Copilot or others) to make your own work faster, better, or more creative - especially when there was no formal “assignment” to do so.
Nimble, curious, and self‑directed working style: you’re comfortable taking loosely defined problems, asking a few clarifying questions, and then independently figuring out tools and approaches.
Strong bias to action and iteration: you prefer shipping small things daily, learning from them, and improving, rather than designing large, abstract projects that never land.
Not necessarily an engineer, but technically comfortable: you can plug tools together, learn new systems quickly, and are not afraid to tinker with settings, APIs, or light scripting when needed.
Clear written communication skills, especially in summarizing findings, documenting workflows, and explaining why a particular AI pattern is or is not worth adopting.
Collaborative mindset and professional maturity: able to work directly with senior leaders, handle sensitive information with discretion, and incorporate feedback with humility.
Sincere interest in AI, management effectiveness, and the future of work - especially how teams can use AI in grounded, practical ways rather than just as a buzzword.

Responsibilities

Run daily AI experiments and micro-projects on relevant business operations challenges (e.g., meeting preparation and follow-up, project tracking and synthesis, executive communications, document/data digestion, scenario analysis) and capture clear before/after examples.
Rapidly learn, test, and compare new AI tools and features (e.g., ChaptGPT, Microsoft Copilot, Claude and others) to determine what is useful in RLDatix’s context, documenting findings in simple, reusable formats.
Turn loosely defined ideas into tangible outputs such as prompts, workflows, lightweight agents, templates, short summaries, and prototypes that leaders and teams can use immediately.
Pilot and refine “management AI” workflows for a small set of leaders (e.g., automated meeting prep/summary, project update synthesis, risk/issue surfacing), iterating quickly based on real‑world feedback.
Build and iterate on lightweight AI agents or workflows for tasks like document analysis, competitive scanning, or project status consolidation, using whichever tools are most appropriate rather than being tied to a single platform.
Systematically codify learnings into reusable assets (guides, playbooks, pattern libraries, before/after examples) that other teams can adopt and extend over time.
Create AI‑powered workflows to improve meeting preparation, follow-up, and executive communication outcomes.