
10,000+ employees
💰 $2M Venture Round on 2015-01
Choosing a digital partner is about more than capabilities — it’s about collaboration and character.
🔥 6 minutes ago
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10,000+ employees
💰 $2M Venture Round on 2015-01
Choosing a digital partner is about more than capabilities — it’s about collaboration and character.
• Define, own, and evolve the AI product roadmap for healthcare claims solutions—spanning claims adjudication automation, claims adjustment, payment integrity, COB/subrogation, provider issue resolution, and FWA detection. • Translate complex claims operational challenges into AI-first product strategies with clear business cases, ROI frameworks, and measurable KPIs (e.g., auto-adjudication rate, denial accuracy, overpayment recovery yield). • Drive solutions from ideation → POC → MVP → production scale, using agile execution and business-centric prioritization. • Maintain a competitive landscape matrix and continuously benchmark against market players (Optum/Change Healthcare, Cotiviti, Cognizant TriZetto, HealthEdge, Conduent, etc.) to inform differentiation strategy. • Partner with sales, finance, and leadership to determine pricing, packaging, and go-to-market approach (managed services, SaaS, outcome-based/gainshare models). • Drive the transition from traditional rules-engine claims processing to AI-augmented adjudication—automating claim edits, benefit configuration interpretation, provider contract parsing, and payment rule application. • Apply deep knowledge of end-to-end claims operations—claim intake, edits, adjudication, pricing, payment, adjustment, appeals, grievances, provider disputes, and overpayment recovery—to identify high-impact AI use cases. • Embed AI solutions into core claims platforms and systems (QNXT, Facets, Amisys, HealthRules Payer, CSC/DXC, etc.) through platform-agnostic integration and API-first design.
• 15+ years of progressive experience in AI/ML engineering, technical product management, or platform product leadership roles. • 5+ years of leadership experience in healthcare claims technology, payer claims operations, or health-tech product organizations focused on claims/PI. • Proven track record of building and scaling AI solutions for claims processing, payment integrity, or provider operations—from POC to production at an enterprise scale. • Experience with large-scale payer claims engagements ($25M+ in managed services or technology contracts) and familiarity with FTE-to-AI transformation models in claims shops. • Bachelor's degree in computer science, Engineering, Data Science, or related technical field. Master's degree (M.Tech / MS / MBA) is strongly preferred. • Hands-on and architectural expertise in LLMs, embeddings, vector search, prompt engineering, and RAG pipelines. • Proficiency with cloud AI platforms: Azure OpenAI, AWS Bedrock (Claude, Sonnet), GCP Vertex AI. • Experience with agent orchestration frameworks: LangChain, LangGraph, CrewAI, AutoGen, or equivalent Agentic AI frameworks. • Strong understanding of MCP (Model Context Protocol), A2A protocols, and multi-agent system design. • Familiarity with browser/desktop automation tools (Playwright, Selenium) as AI agent execution layers for legacy claims system navigation. • Familiarity with secure API design, OAuth2/JWT, enterprise integration patterns, and EDI transaction sets (X12 837/835/270/271/276/277). • Exceptional executive communication skills—ability to present AI strategy and business impact to C-suite audiences (CEO, President, COO) at national payer organizations.
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