Radial

AI Governance Analyst

Radial$104K — $124K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in program management, business analysis, or a related operational role.
  • Working knowledge of AI and enterprise technology to bridge gaps between business and technical teams.
  • Demonstrated ability to navigate ambiguous environments and evolving processes.
  • Strong communication skills for creating executive-ready materials from vague inputs.
  • Experience with dashboards, roadmaps, and program reporting artifacts.
  • Capability to manage multiple projects while organizing information and escalating issues appropriately.
  • Familiarity with responsible AI concepts and data governance within regulated industries.

Responsibilities

  • Support the Enterprise AI Program Office across various workstreams and initiatives.
  • Assess and clarify AI opportunities regarding business value and risk aspects.
  • Maintain a portfolio of AI use cases and enablement activities.
  • Coordinate governance and risk activities with key stakeholders and experts.
  • Create operational artifacts such as decision logs and risk registers.
  • Build reusable assets for the Enterprise AI Program, including playbooks and templates.
  • Track and analyze AI-related issues and improve guidance based on insights.

Benefits

  • Health, vision, and dental insurance offerings.
  • Life insurance and short/long-term disability coverage.
  • Access to 401k plan for both full-time and part-time employees.
  • Paid time off eligibility for employees aged 21 and over.
  • Participation in the rewards and recognition program.
Full Job Description
Nature and Scope of Job

The AI Governance Analyst supports client's Enterprise AI Program Office as an adaptable individual contributor in a fast-evolving enterprise AI function. This role helps build and operate the practical mechanisms that make AI work visible, coordinated, governed, enabled, and connected to business outcomes. This role is designed for a strong generalist operator who can work across business, technical, risk, compliance, and adoption conversations without becoming a bottleneck. The role is not expected to be the sole subject matter expert for AI policy, legal, privacy, security, quality, architecture, or engineering decisions; it is expected to identify the right accountable experts, coordinate the path forward, maintain clear records, and help make AI easier to use responsibly.

Primary Responsibilities

  • Support Enterprise AI Program Office work across assigned workstreams, business areas, functional stakeholder groups, governance backlog items, enablement activities, and special initiatives.
  • Help shape, assess, and route AI opportunities by clarifying business value, user population, data sensitivity, workflow impact, autonomy level, vendor or tool status, regulated process exposure, technical dependencies, adoption needs, and support model.
  • Maintain the enterprise AI portfolio and backlog view across business use cases, functional roadmaps, platform requests, AI tools, pilots, production candidates, adoption initiatives, and workforce enablement activities.
  • Coordinate risk-triggered governance and control activities with Legal, Privacy, Information Security, QA/Compliance, Enterprise Architecture, SWE, IT, data owners, business owners, and other accountable subject matter experts when those reviews are needed.
  • Prepare and maintain practical operating artifacts such as intake records, decision logs, AI impact assessments, review packets, action logs, risk registers, exception records, implementation readiness checklists, service-model documentation, and evidence records.
  • Build and maintain reusable Enterprise AI Program Office assets, including service catalog content, intake guidance, assessment criteria, starter kits, tool-selection guidance, playbooks, templates, FAQs, office-hours materials, and training support materials.
  • Support functional AI leaders and business stakeholders by gathering department needs, adoption barriers, tool feedback, success stories, recurring questions, and demand signals; synthesize patterns for program office and sponsor review.
  • Coordinate readiness checkpoints with Forward Deployed Engineers, SWE, Enterprise Architecture, IT, data architecture, vendors, and platform partners so business requests have clear owners, dependencies, sequencing, and implementation paths.
  • Track AI-related issues, incidents, near misses, policy exceptions, duplicated efforts, unclear ownership, blocked handoffs, adoption friction, and lessons learned; help convert recurring patterns into improved guidance and processes.
  • Prepare sponsor and executive reporting inputs, including portfolio dashboards, roadmap updates, operational metrics, adoption signals, risks, open decisions, RAID summaries, and recommended next actions.
  • Continuously improve AI intake, opportunity assessment, prioritization, governance routing, pilot launch, scaling, functional engagement, service request, and benefit-tracking processes as the program office matures

Additional Responsibilities

  • Performs other related duties and assignments as required

Qualifications

  • 5+ years of experience in program management, product operations, business analysis, technology governance, transformation, change management, technology risk/compliance, data governance, enterprise technology enablement, or a related cross-functional operating role.
  • Working knowledge of AI, generative AI, enterprise technology, software delivery, data, digital adoption, risk assessment, and control concepts sufficient to translate between business stakeholders, technical teams, and governance functions.
  • Demonstrated ability to operate in ambiguous, fast-moving environments where standards, tools, and processes are still being built.
  • Strong facilitation, stakeholder engagement, synthesis, and written communication skills, including the ability to create clear executive-ready materials from ambiguous inputs.
  • Experience maintaining roadmaps, dashboards, action logs, decision logs, evidence records, operating cadences, templates, playbooks, or program reporting artifacts.
  • Ability to independently manage multiple workstreams, requests, and stakeholders; follow up on dependencies; organize information cleanly; and escalate issues with sound judgment.
  • Judgment to distinguish lightweight coordination from true risk-triggered review, identify when accountable subject matter experts are needed, and avoid turning every activity into a formal review gate.
  • Experience supporting an AI center of excellence, enterprise program office, product operations team, digital transformation program, governance function, adoption program, GRC process, or regulated technology portfolio.
  • Experience in healthcare, biotech, diagnostics, regulated software, life sciences, or enterprise environments with privacy, security, quality, compliance, or data-governance expectations.
  • Familiarity with responsible AI concepts, AI literacy programs, NIST AI RMF, ISO/IEC 42001, AI impact assessments, model or system cards, third-party risk management, or AI use case lifecycle management.
  • Experience using Jira, Confluence, SharePoint, Smartsheet, PowerPoint, Excel, BI/reporting tools, ServiceNow, GRC tools, or similar collaboration and program-management platforms.

Education & Certifications

  • Bachelor's degree or equivalent combination of education and relevant work experience.

Working Conditions

The working conditions described here are representative of those that must be met by an employee to successfully perform the essential responsibilities and functions of the job and are not meant to be all-inclusive. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential responsibilities and functions of the job.

Unless reasonable accommodations can be made, while performing this job the staff member shall:

  • Prolonged periods of sitting or standing at a desk and working on a computer in an environmentally controlled home office environment.
  • Operate other office productivity machinery, such as a calculator, scanner, or printer.
  • Frequently communicate with stakeholders via telephone, email, or instant message. Must be able to exchange accurate information in these situations.

Compensation

Salary/Hourly Rate Range (W2): USD 50.00 - 60.00

The base salary/hourly rate range represents the anticipated low and high end of the USDM's compensation range for this position. Actual salaries/hourly rates will vary and will be based on various factors, such as the candidate's qualifications, skills, competencies, and proficiency for the role. The compensation described above is subject to change and could be higher or lower than the range described based on market survey data or budget.

Full-time employees are eligible for health, vision, and dental insurance, life insurance, short and long-term disability, hospital indemnity, accident, and critical care coverage.

Both full and part-time employees, who are at least 21 years of age, are eligible to participate in USDM's 401k plan. Full and part-time employees may be eligible for paid time off.

All employees are eligible for USDM's rewards and recognition program.

For more details about our benefits, visit us here: https://usdm.com/careers

About Radial

Radial is a leading provider of e-commerce technology and operations solutions for retailers and brands. The company offers a range of services, including order management, payment processing, fraud detection, and customer care. Radial's solutions are designed to help retailers and brands improve their online shopping experiences, increase sales, and reduce costs. The company serves a wide range of industries, including fashion, beauty, electronics, and home goods. Radial is headquartered in King of Prussia, Pennsylvania, and has operations in the United States, Europe, and Asia.
Learn more about Radial
Size
7,000 employees
Industry
Founded
1999

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