AI Product Analyst, Digital Experience

Publicis Groupe ANZ; Chicago, Northern (IL, KY); Hybrid; USD 73,000 - 101,000; Full time

Job summary

Publicis Groupe ANZ is seeking a Senior Analyst, Digital Product Management – AI to support development and improvement of AI-powered digital products for agency operations and client projects. You will work with Product Managers, Engineers, QA, and stakeholders to define requirements and deliver innovative AI-driven features.

You will help document requirements, translate them into flows and data models, and participate in agile ceremonies while supporting QA and cross-functional teams.

Qualifications

• Bachelor’s degree in Business, Computer Science, or related field or equivalent practical experience.
• 2–4 years of industry experience in Digital/Technical Product Management, Business Analysis, or supporting Digital/MarTech projects.
• Foundational familiarity or interest in generative AI and related digital technologies.
• Exposure to AI-related tools or platforms such as OpenAI, Claude, Gemini, or similar technologies.
• Demonstrated ability to research and synthesize emerging AI and automation technologies to support documentation, requirements, or solution proposals.
• Demonstrated experience with requirements gathering, documentation, QA/test case support, and partner collaboration.
• Experience with agile project delivery and supporting multiple stakeholders is preferred.

Responsibilities

• Support requirements gathering by participating in research, interviews, and working sessions with stakeholders and subject matter experts under the guidance of Product Managers or senior team members.
• Assist with the creation and maintenance of product and functional documentation - including requirements, user stories, process diagrams, and acceptance criteria - using industry standards and company templates.
• Help translate requirements into clear user/process flows, data models, and analysis matrices with support from senior product and technical team members.
• Support Product and Engineering teams by helping communicate and clarify requirements, capture technical feedback, and document product specifications.
• Participate in agile ceremonies (stand-ups, sprint planning, demos, retrospectives) and share timely updates on assigned tasks, requirements, and progress.
• Assist QA efforts by reviewing test cases, documenting and tracking defects, and helping validate the quality and accuracy of AI-driven features and enhancements.
• Collaborate with experience designers, engineers, QA analysts, and account leads during feature development, helping ensure user and business needs are understood and reflected in project work.
• Conduct guided research to support best practices, vendor/tool evaluations, and feature exploration for generative AI and adjacent technologies.
• Support prompt writing and AI agent creation by drafting, testing, and refining prompt instructions, agent workflows, and use case documentation in partnership with Product, Engineering, and stakeholder teams.
• Stay current on trends in generative AI, MarTech, automation, and digital product development, and share relevant learnings with the team.
• Prepare concise, accurate progress updates, documentation, and/or presentation materials for technical and non-technical audiences with input from senior team members.

Skills

Analytical thinking

Documentation

Stakeholder collaboration

Communication

Education

Bachelor’s degree in Business, Computer Science, or related field

Tools

Microsoft Word

PowerPoint

Excel

Visio

Figma

JIRA

Confluence

Job description

Publicis Groupe ANZ is seeking a Senior Analyst, Digital Product Management – AI to support development and improvement of AI-powered digital products for agency operations and client projects. You will work with Product Managers, Engineers, QA, and stakeholders to define requirements and deliver innovative AI-driven features.

You will help document requirements, translate them into flows and data models, and participate in agile ceremonies while supporting QA and cross-functional teams.