Reinsurance Group of America, Incorporated · 2 days ago
VP, AI & Emerging Analytics
Chesterfield, MO
Full-time
Onsite
Director/Executive
$176K/yr - $262K/yr
15+ years expReinsurance Group of America, Incorporated is a Fortune 200 Company focused on life- and health-related solutions. The Vice President of AI and Emerging Analytics will drive the strategic direction and execution of AI, machine learning, and advanced analytics initiatives, leading a team to develop data-driven solutions that enhance business operations and decision-making processes.
Financial ServicesHealth InsuranceInsuranceLife InsuranceService Industry
Responsibilities
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
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
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
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
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
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
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
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
Qualification
Required
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 high-performing technical teams
Strong strategic thinking and ability to translate business problems into data science solutions
Expert knowledge of modern data science tools, cloud platforms, and big data technologies
Excellent communication skills, able to explain complex technical concepts to both technical and non-technical audiences
Strong product management skills with the ability to manage multiple complex initiatives simultaneously
Deep understanding of data governance, ethics, and regulatory compliance in the context of AI and machine learning
Strong understanding of large language models, transformer architectures, and modern generative AI systems, combined with the ability to evaluate model capabilities, limitations, and appropriate use cases for business applications
Ability to balance technical expertise with business acumen to drive value creation
Strong negotiation and conflict resolution skills
Adaptability and resilience in a fast-paced, evolving technological landscape
Capacity to translate AI capabilities into real-world products while navigating complex ethical considerations around safety, bias, privacy, and responsible deployment at scale
Highly Advanced ability to translate business needs and problems into viable/accepted solutions
Highly Advanced ability to liaise with individuals across a wide variety of operational, functional and technical disciplines
Preferred
Master's degree or PhD in Statistics, Actuarial Science, Business, Finance, Economics, or related field
10+ years of experience with statistical modeling for insurance (Decision Trees, Time Series, Regression, reinforcement learning, unsupervised learning algorithms, etc.)
5+ years of experience in working with and deploying generative AI technologies into an enterprise setting
Knowledge of reinsurance, life insurance, and financial markets
Proficiency in multiple programming languages such as Python, R, and SQL
Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Strong knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and their ML/AI services
Experience with big data technologies such as Snowflake, Databricks, Spark, and distributed computing
Proficiency with modern frameworks like LangChain, LangGraph, DSPy, or LlamaIndex for building complex AI workflows, multi-step reasoning chains, and agentic systems that combine LLMs with tools, memory, and structured decision-making processes
Understanding of DevOps and MLOps practices for model deployment and monitoring
Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes)
Experience with graph databases and network analysis techniques
Familiarity with natural language processing (NLP) and computer vision algorithms and applications
Understanding of time series analysis and forecasting methods relevant to the insurance industry
Knowledge of actuarial concepts including mortality, morbidity, and persistency studies
Knowledge of life, health, and/or annuity products
Knowledge of life insurance underwriting and biometric risk analysis
Knowledge of insurance risk analysis
Experience in computational finance, econometrics, statistics and math
Benefits
Annual bonus plan
Long-term equity incentive plan
Full range of health, retirement, and other employee benefits
Company
Reinsurance Group of America, Incorporated
Reinsurance Group of America, Incorporated (NYSE: RGA) is a global industry leader specializing in life and health reinsurance and financial solutions that help clients effectively manage risk and optimize capital.
1001-5000 employees
H1B Sponsorship
Reinsurance Group of America, Incorporated has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (43)
2024 (46)
2023 (41)
2022 (34)
2021 (34)
2020 (26)
Funding
Current Stage
Public CompanyTotal Funding
$1.35B2025-02-26Post Ipo Debt· $700M
2024-05-08Post Ipo Debt· $650M
2008-12-18IPO
Leadership Team
Jeffrey Hopson
SVP - Investor Relations
Axel Andre
Executive Vice President
Recent News
2025-12-22
MarketScreener
2025-12-10
Company data provided by crunchbase