Healthcare Analytics Solutions Architect AI & Automation
recruit22 LLCChicago, IL
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Overview
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Job Description
Healthcare Analytics Solutions Architect – AI & AutomationHealthcare Analytics | Enterprise Environment Our client, a large national dialysis provider, is hiring a Solutions Architect to help move an established analytics organization to the next level of maturity. This role is not about rebuilding from scratch. You’ll work with a strong data analysis team already using SQL, Tableau, and Alteryx, and your focus will be on strategy, architecture, and standardization — turning POCs into scalable, production ready AI and automation solutions. If you enjoy acting as the bridge between analytics teams and modern AI/automation capabilities, this is a high impact opportunity.Why This Role Is Interesting
- Enterprise scale data with real clinical and operational impact
- Opportunity to define standards, not just follow them
- Visible role influencing AI, automation, and analytics strategy
- Balance of hands on architecture + technical leadership
- Strong existing analytics foundation — no cleanup project
- Act as the solutions architect for AI, automation, and advanced analytics initiatives
- Help an analytics team evolve from POCs to scalable, standardized solutions
- Design reference architectures, patterns, and best practices
- Advise on where AI, ML, and automation realistically add value
- Partner closely with analysts using SQL, Tableau, and Alteryx
- Influence roadmap decisions without direct people management
- Ensure solutions are secure, governed, and production ready
- Senior experience in solutions architecture, data architecture, or advanced analytics
- Hands on exposure to AI, machine learning, or automation tools
- Strong understanding of SQL based data environments
- Experience supporting or enabling BI/analytics teams (Tableau, Alteryx, similar)
- Proven ability to move ideas from POC → production
- Comfortable operating in large, regulated or enterprise environments
- Healthcare or regulated industry experience
- Cloud data / AI platforms (AWS, Azure, or GCP)
- Automation, orchestration, or low code tooling exposure
- Clear standards replace one off solutions
- Analytics teams move faster with better frameworks
- AI and automation initiatives scale responsibly
- Stakeholders trust the architecture and direction
- Innovation without disruption
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