Research and Development Digital Product Owner

International Motors, LLC is seeking a Research and Development Digital Product Owner to shape and prioritize digital capabilities that help teams surface emerging issues, identify root causes, and reduce the likelihood of future failures. The role coordinates between business stakeholders and technical teams to deliver measurable quality outcomes and business value.

Location and Employment Details

• Location: Lisle, IL (onsite)
• Compensation: USD 100,000 - 150,000 per yearly
• Minimum Experience: 1 years
• Education: Master's degree

Responsibilities

• Develop and maintain a product roadmap that aligns Research and Development and Quality priorities with customer needs and business objectives.
• Work with stakeholders to identify opportunities, define requirements, and prioritize the product backlog.
• Convert quality and engineering expectations into user stories and acceptance criteria.
• Partner with IT, data engineers, and data scientists to deliver analytics, AI, and digital quality tools.
• Coordinate user acceptance testing, deployment activities, training, and adoption.
• Lead efforts to build predictive and prescriptive analytics capabilities for root cause identification, defect prevention, and proactive decision-making.
• Act as the primary liaison between business stakeholders and technical teams to ensure clear communication, alignment on priorities, and successful delivery of product initiatives.
• Manage product risks, dependencies, and competing priorities while balancing short-term requirements and long-term strategic goals.

Requirements

• Bachelor's degree and at least 2 years of technical project/program management experience
• Master's degree and at least 1 year of technical project/program management experience
• 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
• No employment-related work sponsorship is expected for this position (for example, H-1B status)

Technologies and Tools

• Azure DevOps
• Jira
• Azure
• Databricks
• Power BI
• Agile methodologies

Benefits

• Competitive market-based compensation
• Comprehensive benefits package designed to support employee wellbeing
• Expected salary for this position will fall within the stated range; final offer depends on the candidate’s applicable skills, knowledge, and experience

Desired Skills

• Experience in product ownership, business analysis, or delivery of digital solutions
• Knowledge of quality and engineering processes, including DFMEA, DVP&R, root cause analysis, and corrective action
• Ability to translate complex business needs into actionable requirements and prioritized initiatives
• Strong communication and stakeholder management skills, including presenting to technical teams and senior leaders
• Familiarity with Agile methodologies, backlog management, and tools such as Azure DevOps or Jira
• Understanding of data analytics and AI applications; familiarity with Azure and Databricks is a plus
• Ability to lead cross-functional teams and influence decisions without direct reporting authority
• Strong analytical and problem-solving skills, using data to support decision-making
• Familiarity with data modeling, business intelligence platforms, dashboard development, and data visualization using Power BI
• Experience supporting digital transformation initiatives and implementing technology solutions that drive operational improvements and business value
• Experience working with customer, warranty, quality, engineering, or connected vehicle data to identify trends and drive continuous improvement
• Degree background in Engineering, Computer Science, Information Systems, Data Analytics, Business, or a related field; advanced degree preferred
• Product Owner, Agile, Scrum, or related certifications are a plus
• Experience in automotive, manufacturing, industrial equipment, or other complex engineering environments is preferred