• Job Description

  Req#: 18827
  Company Overview
  
  
  At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.
  Be part of a team that makes a real difference.
  
  Job Description
  
  
  The Vice President, Casualty AI Product Innovation is responsible for the strategic vision and technical execution of AI across our Payment Integrity Suite. This individual will lead the development of Generative AI (GenAI) and machine learning capabilities designed to transform and automate adjudication, enhance fraud/waste/abuse detection, and optimize adjacent cost containment services, including PPO, PBM, Specialty, and Clinical workflows.
  Core Responsibilities
  • Strategic AI Roadmap: Develop and execute a comprehensive multi-year product strategy for AI and GenAI integration, prioritizing high-impact opportunities within the Payment Integrity Suite and broader cost-containment workflows.
  • Technical Product Governance: Partner with the company’s AI COE to define the architectural standards for AI deployment ensuring high precision and auditability in regulated environments.
  • Data Infrastructure Oversight: Partner with engineering and data science teams to build and maintain scalable data pipelines capable of ingesting, normalizing, and extracting value from high volumes of structured and unstructured medical and claims data.
  • Operational Excellence: Lead the transition of AI capabilities from initial concept and proof-of-concept (POC) to enterprise-scale production, with a focus on reliability, latency, and cost-efficiency in high-throughput bill processing environments.
  
  Qualifications
  
  
  Technical Requirements
  • Academic Foundation: A Bachelor’s or master’s degree in Operations Reserach, Industrial Engineering, Computer Science, Data Science, related quantitative field is required or equivalent experience.
  • Engineering Background: Proven experience in software, process design, and/or data engineering prior to transitioning into product management; ability to engage deeply with architectural reviews.
  • AI Specialization: Extensive recent experience with the Generative AI stack, including Large Language Models (LLMs), prompt engineering, and the deployment of agentic workflows.
  • Data Expertise: Demonstrated success in building products reliant on complex data wrangling and high-scale pipelines, particularly involving unstructured text and diverse data schemas found in medical billing.
  Leadership & Experience
  • Executive Leadership: Minimum of 10 years of experience in technical product management, with at least 5 years in a senior leadership capacity.
  • Strategic Execution: A track record of delivering enterprise-grade AI products that have achieved measurable ROI and operational efficiency in financial or claims-based systems.
  • Regulated Industry Knowledge: Experience in Property & Casualty (P&C), Healthcare, or Fintech is highly preferred, with a thorough understanding of data privacy, compliance, and security standards (e.g., HIPAA, SOC2).
  Executive Competencies
  • Analytical Rigor: Ability to assess technical feasibility against business constraints and market demands.
  • Communication: Ability to articulate technical strategies to non-technical stakeholders and external clients.
  • Innovation Mindset: A proactive approach to identifying emerging technologies that can be leveraged to maintain a market-leading position in payment accuracy.
  
  Benefits
  
  
  This is a remote position that can be located anywhere in the US.
  We’re committed to supporting your ultimate well-being through our total compensation package offerings that support your health, wealth and self. These offerings include Medical, Dental, Vision, Health Savings Accounts / Flexible Spending Accounts, Life and AD&D Insurance, 401(k), Tuition Reimbursement, and an array of resources that encourage a lifetime of healthier living. Benefits eligibility may differ depending on full-time or part-time status. Compensation depends on the applicable US geographic market. The expected base pay for this position ranges from $225,000 - $250,000 annually plus bonus and equity, and will be based on a number of additional factors including skills, experience, and education.
  The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
  Don’t meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
  #LI-PC1
  #LI-Remote
  #ENT
  
  
  Technical Requirements
  • Academic Foundation: A Bachelor’s or master’s degree in Operations Reserach, Industrial Engineering, Computer Science, Data Science, related quantitative field is required or equivalent experience.
  • Engineering Background: Proven experience in software, process design, and/or data engineering prior to transitioning into product management; ability to engage deeply with architectural reviews.
  • AI Specialization: Extensive recent experience with the Generative AI stack, including Large Language Models (LLMs), prompt engineering, and the deployment of agentic workflows.
  • Data Expertise: Demonstrated success in building products reliant on complex data wrangling and high-scale pipelines, particularly involving unstructured text and diverse data schemas found in medical billing.
  Leadership & Experience
  • Executive Leadership: Minimum of 10 years of experience in technical product management, with at least 5 years in a senior leadership capacity.
  • Strategic Execution: A track record of delivering enterprise-grade AI products that have achieved measurable ROI and operational efficiency in financial or claims-based systems.
  • Regulated Industry Knowledge: Experience in Property & Casualty (P&C), Healthcare, or Fintech is highly preferred, with a thorough understanding of data privacy, compliance, and security standards (e.g., HIPAA, SOC2).
  Executive Competencies
  • Analytical Rigor: Ability to assess technical feasibility against business constraints and market demands.
  • Communication: Ability to articulate technical strategies to non-technical stakeholders and external clients.
  • Innovation Mindset: A proactive approach to identifying emerging technologies that can be leveraged to maintain a market-leading position in payment accuracy.
  
  
  The Vice President, Casualty AI Product Innovation is responsible for the strategic vision and technical execution of AI across our Payment Integrity Suite. This individual will lead the development of Generative AI (GenAI) and machine learning capabilities designed to transform and automate adjudication, enhance fraud/waste/abuse detection, and optimize adjacent cost containment services, including PPO, PBM, Specialty, and Clinical workflows.
  Core Responsibilities
  • Strategic AI Roadmap: Develop and execute a comprehensive multi-year product strategy for AI and GenAI integration, prioritizing high-impact opportunities within the Payment Integrity Suite and broader cost-containment workflows.
  • Technical Product Governance: Partner with the company’s AI COE to define the architectural standards for AI deployment ensuring high precision and auditability in regulated environments.
  • Data Infrastructure Oversight: Partner with engineering and data science teams to build and maintain scalable data pipelines capable of ingesting, normalizing, and extracting value from high volumes of structured and unstructured medical and claims data.
  • Operational Excellence: Lead the transition of AI capabilities from initial concept and proof-of-concept (POC) to enterprise-scale production, with a focus on reliability, latency, and cost-efficiency in high-throughput bill processing environments.

• About the company

  Mitchell International, Inc. is an American company based in San Diego, CA, which develops software used by the automotive industry to manage collision and medical claims, parts and labor estimates, and glass replacement quotes.

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