AVP, GenAI & Agentic Data Science

Description

Applications close November 15.

The team builds, deploys and scales GenAI and agentic AI solutions across the company. This is a hands-on technical leadership role for a person who has already moved agentic AI into production at scale.

The role leads Data Scientists and GenAI Engineers and combines deep GenAI and agentic AI expertise with solid data science and machine learning foundations.

The company is moving from a traditional insurer to an AI-first digital insurance business, and this role's advanced analytics work drives that shift.

Inclusion and diversity are a stated priority. The company has 10,000 employees who help more than 39 million people worldwide.

The company is a Fortune 500 employee benefits provider headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, significant operations in Portland, ME, and over 35 US field offices. A related company headquartered in Columbia, SC, has over 40 field offices nationwide.

Responsibilities

• Help set the advanced analytics roadmap and carry out the work on it.
• Lead AI-first digital products, offerings and capabilities, including GenAI and agentic AI.
• Work with product innovators and managers to build AI into business processes and digital products, with a focus on measurable business value.
• Design and deliver production agentic AI systems covering agent orchestration, tool use, RAG, memory and state, multi-agent setups and human-in-the-loop workflows.
• Set up practices for evaluating, observing, monitoring and guarding AI and agents, including governance, security, reliability and responsible AI.
• Advise senior executives and business leaders on AI strategy and investment, and help promote and spread AI across the enterprise.
• Lead and manage Data Science and IT professionals on agile or infrastructure and operations teams, supporting analysis, development, design, modification and testing of analytics, GenAI, agentic AI and machine learning software and applications across varied environments.
• Coach and develop people to raise their performance.
• Lead cross-functional programs with Finance, Marketing and Operations, and build reusable AI patterns, frameworks and capabilities that scale across the enterprise.
• Follow and champion architecture standards, practices and processes.
• Track fast-moving GenAI and agentic AI developments and turn them into practical enterprise uses.
• Identify high-value GenAI and agentic AI opportunities and take them from concept through production and scale.

Requirements

• Bachelor's degree required.
• Master's preferred.
• Background in computer science, mathematics, data science or operational research.
• 10+ years designing and building scaled AI or ML products and capabilities, such as virtual agents, predictive systems, cognitive process automation, computer vision, knowledge virtualization, GenAI and agentic AI solutions.
• Proven record of taking agentic AI systems into production at meaningful scale within a large enterprise or business unit.
• Demonstrated skill designing production agent architectures, including orchestration, multi-agent systems, tool use, memory and state, evaluation, observability and human oversight.
• Deep knowledge of LLMs, GenAI, agentic AI, RAG, evaluation and production AI systems.
• Solid grounding in traditional data science, machine learning, statistics and experimentation.
• Experience building AI systems with enterprise-grade governance, security, reliability, monitoring, operational controls and responsible AI practice.
• Excellent knowledge of programming, software engineering, DevOps and MLOps.
• Experience with AI tools such as SageMaker, TensorFlow and H2O, plus modern GenAI and LLM technologies and frameworks.
• Strategic thinker who has pushed boundaries and rethought what is possible.
• Thinks strategically and acts tactically, with a record of scaling ideas and judging where GenAI and agentic AI fit and where they do not.
• Able to bridge theory and application and explain AI clearly to non-technical stakeholders.
• Takes smart risks, encourages others to do the same, and motivates people to be proactive and resourceful.
• Broad IT knowledge across diverse technical areas, seen as a credible partner on solution design and architecture.
• Formal people leadership experience developing highly technical talent such as Data Scientists, GenAI Engineers, ML Engineers or similar.
• Track record of turning emerging AI technologies into scalable solutions that deliver measurable business value.

Conditions

The base salary range is $133,500.00-$274,100.00.

Actual pay depends on skill, geographic location and experience, unless a specific salary is stated in the description above.

Flexible work environments are available.

Benefits

• Health, vision and dental coverage.
• Short- and long-term disability coverage.
• Performance-based incentive plans.
• Generous paid time off, including paid time to volunteer.
• 401(k) with an employer contribution of up to 9.5%.
• 401(k) plan with an employer match up to 5%, plus an additional 4.5% contribution whether or not you contribute.
• Mental health support.
• Career advancement opportunities.
• Student loan repayment options.
• Tuition reimbursement.
• All benefits are subject to the terms of each individual Plan.