Lyric is an AI-first, platform-based healthcare technology company, committed to simplifying the business of care by preventing inaccurate payments and reducing overall waste in the healthcare ecosystem, enabling more efficient use of resources to reduce the cost of care for payers, providers, and patients. Lyric, formerly ClaimsXten, is a market leader with 35 years of pre-pay editing expertise, dedicated teams, and top technology. Lyric is proud to be recognized as 2025 Best in KLAS for Pre-Payment Accuracy and Integrity and is HI-TRUST and SOC2 certified, and a recipient of the 2025 CandE Award for Candidate Experience. Interested in shaping the future of healthcare with AI? Explore opportunities at lyric.ai/careers and drive innovation with #YouToThePowerOfAI. Applicants must already be legally authorized to work in the U.S. Visa sponsorship/sponsorship assumption and other immigration support are not available for this position. The Medicaid Solution Consultant functions as a client-facing, results-driven, and innovative leader with expertise to advise health plans on policy interpretation, coding requirements, and claims editing strategies. The ideal candidate will bring deep knowledge of state Medicaid policies, medical coding standards, and claims workflows, combined with data analysis skills to support accurate and efficient claim payment decisions. This role is consultative in nature — guiding health plans in evaluating policy impacts, making editing decisions, and improving payment integrity through Lyric42. This role will collaborate closely with product owners, technology teams, sales, and client stakeholders to ensure that our products solve the right problems and converts prospective clients into customers and users of Lyric’s editing. Successful candidates will be curious, have Payment Integrity domain experience and have a passion for solving Client challenges and innovating on their behalf. Candidates must also have excellent technical skills and a desire to play a part in the rapidly evolving role of AI in healthcare.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees