Director / Sr. Director, Vertical AI Enablement and Transformation

LexisNexis Risk Solutions
United States
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 7-10 yearsSkills: ["Communication","Stakeholder management","Cross-functional collaboration"]

Lead the AI enablement program for the Insurance & Healthcare vertical, identifying high-impact AI use cases, translating business needs into actionable AI requirements, and guiding pilots to scaled, production-ready solutions. Collaborate with product, technology, and cross-functional teams to embed AI capabilities into products and workflows, ensure responsible AI practices, and drive measurable improvements in efficiency, decision quality, and customer outcomes.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
LexisNexis Risk Solutions
LexisNexis Risk Solutions
3 months ago

Director / Sr. Director, Vertical AI Enablement and Transformation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Lead the AI enablement program for the Insurance & Healthcare vertical, identifying high-impact AI use cases, translating business needs into actionable AI requirements, and guiding pilots to scaled, production-ready solutions. Collaborate with product, technology, and cross-functional teams to embed AI capabilities into products and workflows, ensure responsible AI practices, and drive measurable improvements in efficiency, decision quality, and customer outcomes.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Director level

Key Responsibilities

  • •Identify, prioritize, and validate vertical-specific AI use cases that improve product performance, workflow efficiency, decision quality, or customer experience.
  • •Partner with Product and Technology teams to translate business needs into clear AI-enabled requirements.
  • •Lead pilot initiatives and support transition into scaled, production-ready solutions.
  • •Ensure solutions align with responsible AI principles and existing platform capabilities.
  • •Analyze end-to-end vertical workflows to identify friction points, manual effort, or scalability constraints.
  • •Apply AI, analytics, or automation to streamline processes, reduce cycle time, and improve consistency.
  • •Define success metrics and track realized impact (e.g., efficiency gains, adoption, product efficacy).
  • •Promote reuse of existing tools, models, and data assets where possible.
  • •Serve as a bridge between business users and technical teams, ensuring AI capabilities are usable, explainable, and embedded into products and workflows.
  • •Support product roadmaps with AI-informed enhancements tied to vertical needs.
  • •Enable internal teams (sales, consulting, operations) with clear guidance, examples, and value articulation for AI-enabled capabilities.
  • •Take a lead role within the Insurance & Healthcare AI CoE, partnering with peers from Product Management, Analytics, Marketing, Technology, and Sales.
  • •Contribute vertical use cases, lessons learned, and best practices to inform shared AI patterns, accelerators, and standards.
  • •Help shape CoE priorities by grounding enterprise AI initiatives in real business problems and delivery realities.
  • •Support reuse of CoE-developed capabilities back into the vertical and ensure alignment with segment-level AI direction.
  • •Partner with vertical leaders and AI CoE counterparts to drive adoption of new AI-enabled processes and product features.
  • •Contribute to training materials, demos, and internal playbooks focused on practical AI usage.
  • •Help build confidence and literacy among vertical stakeholders through real-world use cases rather than theory.
  • •Incorporate customer feedback, competitive dynamics, and market signals into prioritization of AI-driven improvements.
  • •Partner with Customer Experience and Product teams to refine solutions based on usage and outcomes.
  • •Identify opportunities where AI can differentiate the vertical’s offerings or improve customer outcomes.

Key Requirements

  • •7–10 years of experience in product management, product development, analytics, or business transformation roles.
  • •Practical understanding of Generative AI and automation technologies and how they integrate into workflows.
  • •Demonstrated experience applying AI or advanced analytics to improve business processes or products.
  • •Strong ability to work cross-functionally in matrixed environments.
  • •Proven ability to translate complex concepts into clear, actionable business outcomes.
Experience:7-10 yearsInsuranceAIRiskHealthcare
Skills:CommunicationStakeholder managementCross-functional collaboration
Tech Stack:Generative AIAutomationAnalytics

Company Brief

LexisNexis Risk Solutions
Provides data, analytics, and technology solutions to help businesses manage risk, detect fraud, comply with regulations, and make decisions across insurance, financial services, government, and commercial sectors.
Industry: RegTech
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Public Company
Headquarters: Alpharetta, United States
WebsiteLinkedIn