AVP, GenAI & Agentic Data Science

Unum•Portland, ME

7d•$133,500 - $274,100

About The Position

Unum is seeking an accomplished AVP, GenAI & Agentic Data Science to lead Data Scientists and GenAI Engineers in building, deploying, and scaling generative AI and agentic solutions across the enterprise. This technical leadership role requires experience taking agentic AI from experimentation into production at scale, combining expertise in GenAI, Agentic AI, Data Science, and Machine Learning to deliver trusted solutions to business problems. The role contributes to transforming Unum into an AI-first digital insurance company. The AVP will own strategic AI products and offerings, help shape the advanced analytics roadmap, and partner with product leaders and business functions to operationalize AI in processes and digital products. The leader will guide production agentic systems and establish practices for evaluation, observability, monitoring, guardrails, governance, security, reliability, and responsible AI. They will influence executives, lead cross-functional programs, develop technical talent, and promote reusable AI capabilities across the enterprise.

Requirements

Bachelor’s degree required; background in Computer Science, Mathematics, Data Science, or Operational Research.
At least 10 years of experience designing and building scaled AI/ML products or capabilities.
Proven experience building and deploying agentic AI systems into production at meaningful scale within a large enterprise or business unit.
Expertise designing production agent architectures, including orchestration, multi-agent systems, tool use, memory and state, evaluation, observability, and human oversight.
Deep expertise in LLMs, GenAI, Agentic AI, RAG, evaluation, and production AI systems.
Strong foundations in traditional Data Science, Machine Learning, statistical methods, and experimentation.
Experience building AI systems with enterprise-grade governance, security, reliability, monitoring, and operational controls.
Excellent knowledge of programming, software engineering, DevOps/MLOps practices, and production AI systems.
Experience with AI toolsets such as SageMaker, TensorFlow, and H2O, as well as modern GenAI/LLM technologies and frameworks.
Strategic innovation experience, including pushing boundaries and reimagining what is possible.
Ability to take ideas from concept to scale and exercise judgment about where GenAI and Agentic AI are appropriate solutions.
Experience translating theoretical ideas into applied solutions and communicating that vision to non-technical stakeholders.
Demonstrated depth and breadth of IT knowledge and ability to partner credibly on solution design and architecture.
Formal people-leadership experience developing highly technical Data Scientists, GenAI Engineers, ML Engineers, or similar talent.
Track record translating emerging AI technologies into scalable solutions with measurable business value.

Nice To Haves

Master’s degree preferred.

Responsibilities

Own and drive strategic AI-based products and offerings, particularly GenAI and Agentic AI solutions.
Influence senior executives and business leaders on AI strategies and investments.
Lead a team of Data Scientists and GenAI Engineers, partnering across functions including Finance, Marketing, and Operations.
Support efforts to evangelize and democratize AI across the enterprise.
Identify high-value business opportunities for GenAI and Agentic AI and lead solutions from concept through production and scale.
Provide input to and support execution of the advanced analytics roadmap.
Lead development of AI-first digital products, offerings, and capabilities, including GenAI and Agentic AI solutions.
Partner with product innovators and managers to integrate and operationalize AI in business processes and digital offerings to deliver measurable value.
Lead design and deployment of production agentic AI solutions, including orchestration, tool use, RAG, memory and state management, multi-agent architectures, and human-in-the-loop workflows.
Establish practices for AI and agent evaluation, observability, monitoring, guardrails, governance, security, reliability, and responsible AI.
Lead and manage Data Science and Information Technology professionals working across agile, infrastructure, or operations teams on analytics, GenAI, Agentic AI, and machine-learning software and applications.
Develop, coach, and engage team members to improve performance.
Lead cross-functional and cross-disciplinary teams, and develop reusable AI patterns, frameworks, and capabilities that scale across the enterprise.
Advocate for adherence to architecture standards, practices, and processes.
Stay current with GenAI and Agentic AI technologies and translate emerging capabilities into practical enterprise applications.

Benefits

Award-winning culture and inclusion and diversity priority.
Performance-based incentive plans.
Health, vision, and dental coverage.
Short- and long-term disability benefits.
Generous paid time off, including paid time to volunteer.
401(k) employer contribution of up to 9.5%, subject to plan terms.
Mental health support.
Career advancement opportunities.
Student loan repayment options.
Tuition reimbursement.
Flexible work environments.
Competitive and comprehensive healthcare and insurance benefits.
Paid time off.
401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether or not the employee contributes, subject to plan terms.