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Sr. Manager, Client Engagement AI Enablement and Transformation

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: LexisNexis Risk Solutions
Full Time position
Listed on 2026-09-25
Job specializations:
  • Business
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 115000 - 192000 USD Yearly USD 115000.00 192000.00 YEAR
Job Description & How to Apply Below

Are you a strategic, hands‑on business transformation leader who can turn emerging AI capabilities into practical improvements for sales and client engagement teams? Do you enjoy identifying use cases, piloting new solutions, driving adoption, and helping teams translate innovation into measurable business value? About the Business Lexis Nexis 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 Lexis Nexis Risk at the link below.

About Our Team

The Sales Reporting & Automation Team serves as a catalyst for innovation across Insurance & Healthcare Sales & Sales Operations, identifying opportunities to leverage AI, analytics, automation and reporting solutions to enhance productivity, customer outcomes and operational efficiency. We collaborate across business and technology teams to design, pilot and scale practical solutions that streamline workflows, improve decision‑making and drive measurable business impact.

Our team helps bridge strategy and execution, accelerating adoption of emerging capabilities while enabling teams to work smarter and deliver greater value to customers.

About the Role

The Sr. Manager, Sales Effectiveness AI Enablement and Transformation is responsible for advancing Client Engagement (CE) and Sales workflows and capabilities through the practical application of AI and advanced analytics. This role focuses on hands‑on enablement within the Client Engagement organization (Sales Effectiveness, Sales Enablement, Customer Support, Technical Sales, Sales, Contracting and Compliance and Implementations) to identify, pilot, and scale AI‑driven process and reporting improvements that deliver measurable business value and maintain a focus on external customer experience.

Additionally, this role will work in partnership with the AI CoE and CE organization to scale AI enabled solutions and champion adoption. This individual plays a contributor 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 Client Engagement needs.

Unlike enterprise‑wide AI strategy roles, this position emphasizes execution in tandem with governance guard rails—translating emerging AI capabilities into tangible improvements in sales effectiveness, operational efficiency, and customer outcomes, while contributing to cross‑functional alignment through the AI CoE.

Responsibilities
  • Identify and prioritize AI, analytics, and automation opportunities that improve Client Engagement performance, workflows, decision‑making, reporting, and customer outcomes.
  • Analyze end‑to‑end workflows, translate business needs into clear requirements, and address friction, manual effort, and scalability constraints.
  • Lead pilots through testing and transition to scalable, production‑ready solutions, including evaluating third‑party tools for fit and ROI.
  • Partner across Client Engagement, Product, Technology, and other functions to embed usable, explainable AI capabilities into daily workflows.
  • Ensure solutions align with responsible AI principles, existing platforms, and Insurance & Healthcare AI Center of Excellence standards; promote reuse of approved tools, models, data assets, and…
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