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Full-time
bachelor degree, postgraduate degree
Posted 9h ago
~40 hrs/week
Responsibilities
The AI Product Manager will lead the end-to-end delivery and adoption of priority AI initiatives to achieve measurable business outcomes. This includes managing product roadmaps, collaborating with data science teams on MLOps pipelines, and aligning stakeholders across business units.
Requirements
Candidates need over 10 years of experience delivering data-driven products, including 4+ years specifically in AI/ML product management. A bachelor's degree in a technical or business field is required, along with proficiency in SQL and experience working with data scientists.
Full job description
Volkswagen 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 drive adoption and usability of AI solutions across business teams and serve as the delivery lead for a defined set of priority AI initiatives to execute product delivery, obtain stakeholder alignment, and deliver measurable business outcomes. The ideal candidate will have demonstrated technical fluency in AI/ML systems, including ability to evaluate model trade-offs, define technical requirements, and partner closely with data science and engineering 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.
Responsibilities within this Role
AI product execution and delivery (50%)
AI product roadmap planning and execution (30%)
AI product rollout and adoption (20%)
Responsibilities will include:
• Act as the day-to day execution lead for 1–2 priority 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 AI 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
• 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 delivery constraints, resolve cross-functional dependencies, and propose pragmatic solutions to improve product outcomes
• 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 ability to translate complex AI capabilities and constraints into clear product strategy, stakeholder communication, and measurable business outcomes
Deep understanding of business rollout and product delivery of scaled Data Science and AI solutions integrated into operational business processes (e.g., decisioning systems, customer workflows, pricing, or automation)
Experience defining and operationalizing AI product metrics and evaluation frameworks, including experimentation, model performance measurement, and continuous improvement of data-driven systems.
Proficient in SQL to efficiently query large datasets and perform foundational data analysis
Excellent communicator and can articulate product vision, roadmap execution, and delivery progress with a focus on solving business problems.
Highly collaborative, able to build trust and strong relationships at all levels, influence without formal authority, push back when appropriate, earn respect, and respect the contributions of others
Ability to frame ambiguous business problems and define structured, data-driven solutions
Desired Skills:
Experience in financial services
Experience working with Python and data analysis environments (e.g., Jupyter)
Experience with cloud-based ML platforms (e.g., AWS SageMaker)
Volkswagen Financial Services is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws.
This role description is a guideline and does not create contractual rights between the Company and any of its applicants. The Company does not enter into any type of employment contract, implied or written, with its applicants regarding job security.
This Organization participates in E-Verify. We maintain a drug free workplace and perform pre-employment substance abuse testing.
The Volkswagen Group with its headquarters in Wolfsburg is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group is made up of ten brands from seven European countries: Volkswagen, Volkswagen Nutzfahrzeuge, ŠKODA, SEAT, CUPRA, Audi, Lamborghini, Bentley, Porsche and Ducati.
Our group sells vehicles in 153 countries and operates 114 production plants worldwide. Each working day, around 675,000 employees worldwide produce cars, are involved in vehicle-related services or work in the other fields of business.
Our goal is to make mobility sustainable for us and for future generations. Our promise: With electric drive, digital networking and autonomous driving, we make the automobile clean, quiet, intelligent and safe. At the same time, our core product becomes even more emotional and offers a completely new driving experience. It is also becoming part of the solution when it comes to climate and environmental protection. In this way, the car can continue to be a cornerstone of contemporary, individual and affordable mobility in the future. #Shapingmobility
Imprint & Legal: http://vw.de/legal-notice
DAT: http://vw.de/dat
Offices: Berliner Ring 2, Wolfsburg, Niedersachsen, DE
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