Digital Agent Analyst supporting digital agent coordination, AI enablement, and governance in a data office setting. Collaborating with technical teams and business partners in a full-time capacity.
Responsibilities
Digital Agent Coordination & Support
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.
Governance, Controls & Lifecycle Support
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.
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.
AINA & Segment Support
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 are reflected in planning and delivery.
Enterprise & Global Collaboration
Support enterprise and global data initiatives in coordination with senior data and technology leadership.
Help coordinate with internal teams and external partners as needed to support delivery and alignment with enterprise data and AI strategy.
Communication & Enablement
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.
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.
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.
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).
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.
Benefits
multiple medical plans plus dental, vision and prescription drug coverage
a competitive 401k with generous matching
PTO beginning at 20 days per year
up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer
basic Life and AD&D Insurance as well as Short and Long-Term Disability
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