AI Product Manager

AIToolboard; Springfield (MA); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Volkswagen AG in Springfield, US, is seeking an AI Product Manager to drive AI-enabled product initiatives across business units. You will partner with AI CoE leadership to deliver scalable data solutions, aligning stakeholders and delivering measurable business outcomes.

This hybrid, full-time role reports into Product Management with a strong emphasis on data, analytics, and AI strategy. The ideal candidate has 10+ years in data-driven product delivery and 4+ years in AI/ML product ownership,

Qualifications

• 10+ years delivering data-driven and AI-enabled products.
• 4+ years in product management/ownership building AI/ML products.
• Bachelor's degree in a relevant field; advanced degree preferred.

Responsibilities

• Define and execute AI product roadmaps to achieve measurable business outcomes.
• Lead end-to-end delivery with cross-functional teams.
• Collaborate with Data Science, ML Ops, Data Engineering and IT Ops to deploy AI at scale.
• Document epics, features and stories in Jira and manage backlog.

Skills

Data Science products

AI products

SQL

Communication

Cross-functional collaboration

MLOps

Product roadmaps

Education

Bachelor's degree in Business/Marketing/CS/Engineering

Master's degree in Entrepreneurship/Business/CS/Engineering

Tools

Jira

Job description

# AI Product ManagerVolkswagen AGSpringfield, USFull-time## About the RoleVolkswagen Financial Services, a wholly-owned subsidiary of Volkswagen Group, is the trusted key to mobility for its brand partners. We are committed to supporting the Audi, Ducati, and Volkswagen brands and their Dealers, specializing in providing accessible mobility solutions for its Customers. The company’s offerings include Retail Leasing, Retail Financing, Commercial Financing for new and used vehicles, and End-of-Term vehicle disposition. Brief Role Description This position is Career Level 29P and located in Reston, VA, with a Role Classification of Hybrid. Role Summary The AI Product Manager will support the delivery of specific AI-enabled products that align with the established AI product roadmap. This role will drive adoption and usability of AI solutions across business teams and serve as the delivery lead for a defined set of priority AI initiatives, partnering closely with the AI CoE leadership to execute product delivery, obtain stakeholder alignment, and deliver measurable business outcomes. The role will be focused on connecting brand, vehicle, customer and dealer data to support the Sales, Marketing, Risk, Collections, Finance, Controlling and other business units to define, innovate, and deploy AI-enabled products. The role will collaborate with Data Science, ML Ops, Data Engineering, and IT Ops and as well as other product teams to roll out AI solutions at an enterprise scale. To be effective in this position it will be critical to have deep expertise in data, analytics, and AI solutions as well as exceptional communication skills, and influence capabilities. Responsibilities within this Role AI product roadmap planning and execution (30%) • AI product execution and delivery (50%) • AI product rollout and adoption (20%) Responsibilities will include: • Act as the day-to day execution lead for prioritized AI products, accountable for end-to-end delivery, cross-functional execution, and ultimate product success against defined business objectives • Assist in the definition, design and delivery of AI solutions working with product owners, and BU SME’s • Directly work with key Business Stakeholder to investigate, identify, collaborate, and ensure the delivery of data solutions for business units and customers. • Document and enter Epics, Features and stories in Jira, managing backlog prioritization and acceptance criteria for assigned AI products • Collaborate with data engineering and Data Science to implement robust and scalable MLOps pipelines • Collect and analyze data to determine product direction and work with BU product owners/ SME’s to identify potential solutions, which informs the product roadmap • Coordinate and participate in user acceptance testing of functional requirements. • Collaborate with other Product Owners to ensure programs and processes across the entire system are aligned and prioritized • Create product training and documentation materials in support of the implementation and launch of AI Products. • Identify and propose pragmatic innovations that improve product outcomes and delivery efficiency • Support communication, presentations, training, and documentation to enable successful user adoption Qualification requirements Years of Revlevant Experience: 10+ years of hands-on experience delivering data‐driven and AI‐enabled products with a demonstrated ability of translating business challenges into clear, actionable product requirements and delivery plans. 4+ years in product management/ownership building and delivering successful AI/ML products and capabilities 4+ years of experience working with Data Scientists to deliver AI solutions Required Education: Bachelor’s degree in business, Marketing, Computer Science, or Engineering Desired Education: Master’s degree in Entrepreneurship, Business, Marketing, Computer Science, or Engineering General Skills: Deep understanding of business rollout and product delivery of scaled Data Science and AI solutions Passion for identifying and solving real consumer and business problems, and proven ability to deliver to market A bias to action and a proven track record of delivering solutions within a matrixed organization Ability to analyze and explain complex business processes and technical solutions Demonstrated willingness to be flexible and adaptable to changing priorities with the ability to motivate others to lead cross-functional teams Ability to work effectively with direct teams and matrixed partner teams as well as collaboration across brands and organizational business units. A fantastic storyteller who is at ease presenting to senior leadership Skills Required: Proven experience managing Data Science, Analytical and AI products from concept through Delivery Proficient in SQL to efficiently query large datasets. Expertise on the capabilities and functionality of data, business processes, and integration technologies Excellent communicator and can articulate product vision, roadmap execution, and delivery progress wit