VP, AI & Emerging Analytics

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RGA ready

RGA is a purpose-driven organization working to solve today’s challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we’re the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all.

The Vice President of AI and Emerging Analytics is a leadership role responsible for driving the strategic direction and execution of AI, machine learning, and advanced analytics initiatives across the region. This position leads a team of data scientists, machine learning engineers, and data engineers to develop and implement cutting-edge, data-driven solutions that enhance business operations, improve decision‑making processes, and create competitive advantages for RGA.

• Strategic Leadership
  • Continue to develop, support, and execute the region’s long‑term strategy for AI, machine learning, and data science initiatives.
  • Align data science projects with overall business objectives, key performance indicators, and growth drivers.
  • Collaborate with regional leads and executives to identify opportunities for data‑driven innovation and growth.
• Team Management and Development
  • Lead, mentor, and inspire a team of data scientists, machine learning engineers, and data engineers.
  • Foster a culture of innovation, continuous learning, and technical excellence.
  • Develop and support career progression paths for team members.
• Project Oversight and Delivery
  • Oversee the end‑to‑end lifecycle of multiple concurrent data science projects.
  • Ensure timely delivery of high‑quality, scalable solutions that meet business requirements.
  • Manage resource allocation and prioritize projects based on business impact and strategic importance.
• Technical Leadership and Innovation
  • Stay at the forefront of AI, machine learning, and statistical modeling advancements.
  • Evaluate and recommend new technologies, methodologies, and tools to enhance the team's capabilities.
  • Provide technical guidance and expertise on complex data science problems.
• Stakeholder Management and Communication
  • Present project outcomes, insights, and recommendations to regional leadership.
  • Collaborate with business units to identify opportunities for applying data science solutions.
  • Build and maintain relationships with external partners, and vendors.
• Governance and Compliance
  • Ensure all data science initiatives adhere to regulatory requirements and ethical AI principles.
  • Develop and enforce best practices for data governance, model validation, and deployment.
  • Collaborate with legal and compliance teams to address data privacy and security concerns.
• Financial Management
  • Develop and manage the annual budget for the Emerging Analytics team.
  • Analyze and report on the ROI of data science initiatives.
  • Make strategic decisions on technology investments and resource allocation to support team’s initiatives.
• Technology and Infrastructure
  • Continue to advance RGA’s data science and AI technology and supporting infrastructure by partnering with Global Technology.
  • Identify opportunities for common solution architectures and patterns to drive scalability in the business and strengthen execution efficiency.
  • Oversee MLOps best practices for the team and drive adoption and adherence to enterprise standards and innovative technology.

• Bachelor’s degree in Computer Science, Math, Statistics, Actuarial Science, Finance, Economics or related field.
• 15+ years of analytics experience or in developing statistical models for insurance or related applications.
• Proven track record of successfully leading large‑scale AI and machine learning initiatives in a Fortune 500 environment.
• Deep understanding of insurance industry dynamics and challenges, with 5+ years of experience in the sector.
• Strong background in statistical modeling, machine learning algorithms, and data engineering principles.
• Experience in managing and scaling data science teams.
• Exceptional leadership skills with the ability to inspire and motivate…