Artificial Intelligence

• Partner with department leaders to identify and prioritize AI use cases across the business
• Manage AI adoption projects end-to-end, from scoping through deployment
• Map existing workflows and redesign processes to integrate AI tools effectively
• Build prototypes using tools such as Claude Code or Codex
• Define success metrics and report on the ROI of AI initiatives
• Design and lead AI training and change-management programs
• Stay current on the AI tool landscape and advise departments on tools and approaches worth adopting
• Define and build Continental’s first AI function from the ground up
• Report to the EVP & Chief Customer Experience

Director of AI Strategy – Adoption

• Identify and prioritize high-value AI opportunities in high-friction, repetitive, decision-intensive, and manually coordinated workflows
• Frame AI opportunities around measurable business and customer outcomes
• Assess process maturity, data readiness, integration requirements, value potential, risk, and responsible AI considerations
• Develop opportunity hypotheses, experience concepts, value cases, and pilot recommendations
• Maintain an AI experience opportunity backlog and provide input into product planning and investment decisions
• Translate AI experience concepts into product requirements, journey maps, service blueprints, epics, user stories, acceptance criteria, and AI evaluation criteria
• Partner with Product Managers and delivery teams to incorporate AI capabilities into product roadmaps and backlogs
• Collaborate with UX, architecture, engineering, data and analytics, cybersecurity, quality assurance, legal, privacy, and compliance teams
• Lead rapid prototyping, experimentation, and user validation
• Help create AI-native products and experiences that reduce coordination overhead, increase customer-facing time, improve decision quality, accelerate speed to market, and deliver measurable business value

AI Product Experience Strategist

• Assist with AI development projects by setting up development environments, preparing test scenarios, and supporting software and AI experimentation
• Monitor AI model training and hardware performance, document progress, and communicate issues or unexpected results
• Test software applications, AI workflows, and prototypes using established testing procedures
• Identify, document, and reproduce software bugs and unexpected behavior
• Verify that software updates, fixes, and configuration changes function as intended
• Assist with basic programming, code updates, configuration changes, and technical troubleshooting with guidance from experienced team members
• Support development and testing of AI-generated text, images, audio, and other digital content using approved AI tools
• Research and experiment with emerging AI tools, technologies, and approaches
• Document testing activities, technical findings, issues, and project progress
• Create setup instructions, testing documentation, and other technical resources
• Assist with AI hardware and development workspace setup, configuration, and routine monitoring
• Communicate completed work, findings, questions, and project roadblocks
• Perform other additional duties as assigned or required

Artificial Intelligence jobs in Wisconsin

Director of AI Strategy – Adoption

AI Product Experience Strategist

AI Development Intern