Senior Assistant Vice President – Healthcare Claims AI, Technical Product Leader

Job not on LinkedIn

🕒 June 11

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟠 Senior

👨‍💼 Executive Assistant

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 $2M Venture Round on 2015-01

Healthcare • Insurance • Logistics

EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits