About the Business:
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle all while reducing risk. You can learn more about LexisNexis Risk at the link below. https://risk.lexisnexis.com/insurance
About the Role:
The Director/ Senior Director, Vertical AI Enablement and Transformation is responsible for improving vertical-specific processes, workflows, and product capabilities through the practical application of AI and advanced analytics. This role focuses on hands-on enablement within the Vertical to identify, pilot, and scale AI-driven process and product improvements that deliver measurable business value.
This individual plays a leadership role within the Insurance & Healthcare AI Center of Excellence (AI CoE), collaborating with peers from other functional areas to shape shared practices, reusable assets, and pragmatic standards that accelerate the impact of AI across the segment while remaining grounded in real vertical needs.
Unlike enterprise-wide AI strategy roles, this position emphasizes execution over governance—translating emerging AI capabilities into tangible improvements in product effectiveness, operational efficiency, and customer outcomes within the vertical, while contributing to cross-functional alignment through the AI CoE.
This role will be hybrid in Alpharetta, GA
We are open to hiring at the Director or Senior Director level, with final leveling determined based on experience and interview outcomes.Responsibilities:
1. Vertical AI Use Case Identification & Delivery
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.
2. Process & Workflow Improvement
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.
3. Product Enablement & Adoption
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.
4. AI Center of Excellence (CoE) Leadership & Collaboration
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.
5. Change Enablement & Training
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.
6. Market & Customer Feedback Loop
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.
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.
Strong communication and stakeholder management skills.
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