Director / Sr. Director, Vertical AI Enablement and Transformation

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.

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.

Pay

U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates.