Digital Agent Analyst

Arch Insurance Group Inc.•Jersey City, NJ

About The Position

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

Requirements

Strong organizational and coordination skills.
Ability to work well with both technical teams and business partners.
Clear written and verbal communication skills.
Willingness to learn and work in emerging areas such as AI and digital agents.
Foundational understanding of data and AI concepts, or demonstrated ability and interest in developing this understanding, with the ability to: Grasp how AI systems and large language models generally work, Collaborate effectively with data engineers, analysts, and vendors, Recognize basic risks, dependencies, and governance considerations.

Nice To Haves

Basic familiarity with AI, machine learning, or analytics concepts through coursework, internships, or early work experience.
Exposure to basic scripting, analytics, or model experimentation (e.g., Python, notebooks, low‑code tools, or similar), particularly in support of learning, research, or proof‑of‑concept work.
Exposure to prompt design or AI tools (formal experience not required).
Interest in data governance, data quality, or responsible use of data and AI.
Experience working in team‑based or cross‑functional environments.
Interest in insurance, financial services, or regulated industries.

Responsibilities

Support intake, tracking, and prioritization of digital agent and AI‑enabled use cases across the Data Office/Data IT.
Help maintain visibility into active, upcoming, and proposed digital agent work.
Assist with documenting digital agents, including purpose, users, data inputs, controls, and expected outcomes.
Support coordination of delivery activities such as requirements clarification, testing support, release communications, and adoption readiness.
Support research, experimentation, and proof‑of‑concept activities related to digital agents, which may include light scripting, prompt refinement, or basic model exploration in collaboration with technical teams.
Work with Data Governance, Technology, Risk, Security, and Architecture teams to help ensure digital agents follow Arch standards for data quality, privacy, security, and responsible AI.
Support basic lifecycle tracking for digital agents (from intake through deployment and monitoring).
Assist in preparing materials for governance meetings and leadership updates related to digital agents and AI work.
Contribute to documentation, operating materials, and artifacts needed to support pilot initiatives and future scaling.
Support coordination of Data Office/Data IT digital agents that serve AINA business needs.
Help act as a point of contact between business stakeholders and Data Office/Data IT delivery teams.
Assist in gathering business requirements and translating them into well‑defined, governed solutions.
Help ensure AINA‑specific considerations (such as regulatory or operational needs) are reflected in planning and delivery.
Support transparency into how AINA‑focused solutions align with broader Arch and global initiatives.
Support enterprise and global data initiatives in coordination with senior data and technology leadership.
Assist with identifying opportunities to reuse solutions and reduce duplication across segments.
Help coordinate with internal teams and external partners as needed to support delivery and alignment with enterprise data and AI strategy.
Help prepare tracking views, summaries, and simple one‑page updates for leadership and stakeholders.
Translate technical concepts into clear, easy‑to‑understand summaries for non‑technical audiences.
Support change management and adoption activities, such as FAQs, release notes, and basic enablement materials.