Ryan Specialty Group - Chicago, IL

posted 2 months ago

Full-time - Executive
Chicago, IL
Insurance Carriers and Related Activities

About the position

The Vice President of Artificial Intelligence and Machine Learning at Ryan Specialty is a pivotal role responsible for shaping and executing the company's AI strategy to enhance both top- and bottom-line performance. This position requires a strategic leader who can work closely with business and corporate leaders to develop a comprehensive AI roadmap that aligns with the organization's goals while effectively managing AI-related risks. Reporting directly to the EVP of IT, Operations, and Data Analytics, the Vice President will oversee the implementation of AI initiatives, ensuring that they are not only innovative but also compliant with data protection and privacy regulations. In this role, the Vice President will monitor the external landscape to identify trends and competitive positioning in the AI space. They will establish effective change management practices and communication strategies, including training for executives and team members on AI technologies. Collaboration is key, as the Vice President will partner with various departments, including IT, operations, and data analytics, to select and implement AI tools and capabilities that drive value across the organization. The Vice President will also be responsible for overseeing the development and deployment of AI models and algorithms, ensuring their performance is continuously monitored and evaluated. Building partnerships with vendors, universities, and research institutions will be essential to explore and implement innovative AI solutions. Additionally, the Vice President will design and implement strategic projects on behalf of the executive team, establishing measures, metrics, and KPIs to monitor the attainment of goals and adherence to standards and controls.

Responsibilities

  • Develop, articulate, and execute an AI strategy focused on top- and bottom-line growth while managing risk.
  • Monitor the external landscape to understand trends and competitive positioning.
  • Establish effective change management and communication, including training of executives and teammates on AI.
  • Partner with business and corporate leaders to develop a roadmap and investment plan, including identification and prioritization of use cases across the value chain.
  • Collaborate with IT, operations, and data analytics teams on the selection and implementation of AI tools and capabilities.
  • Oversee the development and deployment of AI models and algorithms, monitoring and evaluating AI models' performance.
  • Develop partnerships and collaborations with vendors, universities, research institutions, and industry thought leaders to explore and implement innovative AI solutions.
  • Design and implement strategic projects on behalf of the executive team.
  • Ensure compliance with data protection and privacy regulations, instantiating a responsible AI framework and governance structure.
  • Establish measures, metrics, KPIs and reporting to monitor attainment of goals and adherence to standards and controls.

Requirements

  • 10+ years of experience in AI, machine learning, or related fields.
  • Proven track record of leading and delivering successful AI initiatives or programs.
  • Prior experience in executive roles within the financial services industry, driving data analytics or technology-driven transformation initiatives.
  • Leadership and executive management skills to drive the AI strategy and execution.
  • Meaningful value-oriented mindset vs. technology-only-oriented mindset.
  • Knowledge of AI technologies, including machine learning, natural language processing, generative AI, and predictive analytics.
  • Strategic understanding of AI technology, velocity of advancement, growth, and future trajectory.
  • Perspective on AI operating systems and implementation strategies.
  • Problem-solving and analytical skills to identify AI use cases and recommend effective solutions.
  • Ability to effectively communicate complex AI concepts and solutions to both technical and non-technical stakeholders.
  • Knowledge of data management and integration principles, as well as data privacy and security best practices.

Benefits

  • Paid parental leave
  • Paid time off
  • Mental health services
  • Paid time off for company holidays, vacation, sick and personal days
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service