AI/ML Product Owner

The AI/ML Product Owner/Product Manager is responsible for identifying, defining, prioritizing, and managing AI and machine learning products, use cases, and capabilities that deliver measurable business value. This role serves as the primary bridge between business stakeholders, data domain teams, and the AI/ML delivery organization, ensuring that AI investments align with strategic objectives and enterprise priorities.

The Product Owner/Product Manager works within a federated AI Center of Excellence (COE) model, partnering closely with AI/ML Engineers, Data Engineers, Data Governance teams, and business leaders to drive the successful delivery, adoption, and scaling of AI-powered solutions across the enterprise.

AI Product Strategy & Roadmap Management

• Define and maintain the vision, strategy, and roadmap for assigned business function AI/ML products and capabilities.
• Identify opportunities where AI can improve operational efficiency, customer experience, decision-making, or business performance.
• Develop business cases, prioritization, and value realization plans for AI initiatives.
• Align AI product priorities with enterprise strategic objectives, data domain roadmaps, and business outcomes.
• Continuously assess emerging AI technologies and industry trends to identify innovation opportunities.

Use Case Identification & Prioritization

• Partner with business functions to identify high-value AI opportunities.
• Lead AI use case intake, evaluation, and prioritization processes.
• Define problem statements, success criteria, and measurable business outcomes.
• Facilitate prioritization based on feasibility, business impact, data readiness, and enterprise strategic alignment.
• Maintain and manage the AI use case portfolio and backlog.

Product Ownership & Delivery Leadership

• Act as Product Owner for AI/ML initiatives from ideation through deployment and adoption.
• Create and maintain product backlogs, epics, features, and user stories.
• Partner with AI/ML Engineers and Data Engineers throughout development and implementation.
• Support Agile planning, sprint reviews, retrospectives, and release management activities.
• Partner closely with AI/ML Engineers, Data Engineers, Data Scientists, Analytics teams, and Enterprise Architects.
• Collaborate with Data Domain leadership to align use cases with enterprise data strategies.

Business Stakeholder and Cross-functional Alignment

• Serve as the primary point of contact between business stakeholders and AI delivery teams.
• Translate complex business challenges into actionable AI product requirements.
• Communicate priorities, progress, risks, and value realization to leadership stakeholders.
• Help drive organizational alignment around AI initiatives.

Value Realization & Adoption Management

• Establish KPIs and outcome-based success metrics for AI products.
• Monitor solution performance and business impact after deployment
• Help develop adoption and change management strategies for AI-enabled capabilities.
• Partner with business teams to ensure successful deployment and operational integration.

AI Governance & Responsible AI Alignment

• Ensure AI products comply with enterprise governance, security, privacy, and Responsible AI requirements.
• Partner with Data Governance and Compliance teams during product planning and execution.
• Support documentation, risk assessment, and approval processes for AI initiatives.
• Ensure business stakeholders understand AI capabilities, limitations, and risks.

• Bachelor's degree and at least 2 years of technical project/program management experience

OR

• Master's degree and at least 1 year of technical project/program management experience

OR

• At least 5 years of technical project/program management experience

• Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)

• Preferred 5-8 years of experience in Product Management, Product Ownership, Business Master's degree in Business Administration, Data Science, Information Systems, Engineering, or related field.
• Transformation, Analytics, Data, or Digital Technology roles.
• Experience managing complex cross-functional initiatives involving business and technical stakeholders.
• Experience translating business requirements into actionable product and technology solutions.
• Strong understanding of Agile product development methodologies
• Experience delivering AI, machine learning, data analytics, or digital transformation initiatives.
• Product Owner certification (CSPO, PSPO) or equivalent Agile experience.
• Familiarity with machine learning concepts, AI platforms, and modern data architectures.
• Experience working within large enterprise organizations and federated operating models.
• Knowledge of Responsible AI, AI governance, and data governance frameworks.
• Strong stakeholder management and executive communication skills.

This position offers competitive market-based compensation, along with a comprehensive benefits package designed to support employee wellbeing. You can learn more about the benefits offered for this position by visiting .
The expected salary offered for this position will fall within the stated range, with the final offer based on the candidates' applicable skills, knowledge, and experience.

About TRATON
With its brands Scania, MAN, International, and Volkswagen Truck & Bus, TRATON SE is the parent and holding company of the TRATON GROUP and one of the world’s leading commercial vehicle manufacturers. The Group’s product portfolio comprises trucks, buses, and light-duty commercial vehicles. “Transforming Transportation Together. For a sustainable world.”: this intention underlines the Company’s ambition to have a lasting and sustainable impact on the commercial vehicle business and on the Group’s commercial growth.

About International
From a one-man company built on the world-changing invention of the McCormick reaper in 1831, to the 15,000-person-strong company we are today, few companies can lay claim to a history like International. Based in Lisle, Illinois, International Motors, LLC* creates solutions that deliver greater uptime and productivity to our customers throughout the full operation of our commercial vehicles. We build International® trucks and engines and IC Bus® school and commercial buses that are as tough and as smart as the people who drive them. We also develop Fleetrite® aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. As of 2021, we joined Scania, MAN and Volkswagen Truck & Bus in TRATON GROUP, a global champion of the truck and transport services industry. To learn more, visit International.com.

*International Motors, LLC is d/b/a International Motors USA in Illinois, Missouri, New Jersey, Ohio, Texas, and Utah.

We are an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

AI Product Strategy & Roadmap Management

• Define and maintain the vision, strategy, and roadmap for assigned business function AI/ML products and capabilities.
• Identify opportunities where AI can improve operational efficiency, customer experience, decision-making, or business performance.
• Develop business cases, prioritization, and value realization plans for AI initiatives.
• Align AI product priorities with enterprise strategic objectives, data domain roadmaps, and business outcomes.
• Continuously assess emerging AI technologies and industry trends to identify innovation opportunities.

Use Case Identification & Prioritization

• Partner with business functions to identify high-value AI opportunities.
• Lead AI use case intake, evaluation, and prioritization processes.
• Define problem statements, success criteria, and measurable business outcomes.
• Facilitate prioritization based on feasibility, business impact, data readiness, and enterprise strategic alignment.
• Maintain and manage the AI use case portfolio and backlog.

Product Ownership & Delivery Leadership

• Act as Product Owner for AI/ML initiatives from ideation through deployment and adoption.
• Create and maintain product backlogs, epics, features, and user stories.
• Partner with AI/ML Engineers and Data Engineers throughout development and implementation.
• Support Agile planning, sprint reviews, retrospectives, and release management activities.
• Partner closely with AI/ML Engineers, Data Engineers, Data Scientists, Analytics teams, and Enterprise Architects.
• Collaborate with Data Domain leadership to align use cases with enterprise data strategies.

Business Stakeholder and Cross-functional Alignment

• Serve as the primary point of contact between business stakeholders and AI delivery teams.
• Translate complex business challenges into actionable AI product requirements.
• Communicate priorities, progress, risks, and value realization to leadership stakeholders.
• Help drive organizational alignment around AI initiatives.

Value Realization & Adoption Management

• Establish KPIs and outcome-based success metrics for AI products.
• Monitor solution performance and business impact after deployment
• Help develop adoption and change management strategies for AI-enabled capabilities.
• Partner with business teams to ensure successful deployment and operational integration.

AI Governance & Responsible AI Alignment

• Ensure AI products comply with enterprise governance, security, privacy, and Responsible AI requirements.
• Partner with Data Governance and Compliance teams during product planning and execution.
• Support documentation, risk assessment, and approval processes for AI initiatives.
• Ensure business stakeholders understand AI capabilities, limitations, and risks.

• Bachelor's degree and at least 2 years of technical project/program management experience

OR

• Master's degree and at least 1 year of technical project/program management experience

OR

• At least 5 years of technical project/program management experience