Product Owner & Data Scientist

Visa Hunt; Lisboa; Presencial; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

Volkswagen Group Digital Solutions [Portugal] seeks a hands-on Product Owner who can also act as a Data Scientist, translating business needs into data-driven solutions, managing stakeholders, prioritizing roadmaps, and driving analytics/AI product delivery.

The role requires leading Data and AI product vision, backlog management, and cross-functional collaboration with data scientists, engineers, and external partners to scale AI solutions across markets.

Qualificações

• Proven experience in product management, ideally in data/AI.
• Knowledge of agile methodologies (Scrum, SAFe).
• Solid technical understanding of AI methods and data infrastructure.
• Strong communication and stakeholder management skills.
• Familiarity with Python, SQL, ML frameworks, and MLOps platforms.

Responsabilidades

• Develop a clear product vision for Data and AI products aligned with corporate strategy.
• Build and maintain a Data and AI product backlog.
• Define and manage roadmaps for Data and AI products.
• Identify and prioritize high-impact business use cases.
• Translate business requirements into technical specifications.
• Collaborate with data scientists, engineers, and business stakeholders.
• Scale successful Data and AI products across markets or business units.

Conhecimentos

Product management

Data/AI

Agile methods

Stakeholder mgmt

Python

SQL

ML frameworks

Descrição da oferta de emprego

About VW Group Digital Solutions [Portugal]

Technology-driven trends such as diverse mobility, electrification and connectivity will revolutionize the mobility industry in the next decade. Volkswagen Group, as world leader in the automotive industry, is setting the pace for this revolution.

At Volkswagen Group Digital Solutions [Portugal] we are the go-to team to tackle complex systems and programming challenges. We make sure that our products flow smoothly in all stages of the digital value chain.

Our main areas of focus: vehicle software & operations, mobile online services, IT security, fleet management, sales & after sales, purchasing & logistics and product portfolio management.

Ready to #ExploreNewRoads? Join us!

About the Product

Our Sales Spoke team is driven by a data-first culture, leveraging both advanced analytics and AI to empower our team and customers to create additional value. We enable our business units to explore their untapped data & analytics potential and provide our customers with value-adding advanced analytics solutions.

We are looking for a hands-on Product Owner, who can also act as a Data Scientist, translating business needs into data-driven solutions, managing stakeholders, prioritizing roadmaps, and driving the delivery of analytics and AI products.

You’ll be focused in

• Developing a clear product vision for Data and AI applications aligned with corporate strategy
• Building and maintaining a Data and AI product backlog
• Defining and managing roadmaps for Data and AI products
• Identifying and prioritizing high-impact business use cases
• Translating business requirements into technical specifications
• Conducting gap analyses on data availability and quality
• Working closely with data scientists, engineers, business stakeholders, and external partners (e.g., McKinsey, appliedAI)
• Facilitating workshops for ideation and requirements gathering
• Communicating product vision and progress to stakeholders
• Understanding machine learning, MLOps, data architectures, and model validation
• Supporting the selection of appropriate algorithms and tools
• Ensuring compliance with data protection and regulatory requirements
• Supporting organizational change processes
• Developing training and enablement programs for users
• Scaling successful Data and AI products across markets or business units

In order to succeed, you’ll need

• Proven experience in product management, ideally in data/AI
• Knowledge of agile methodologies (Scrum, SAFe)
• A solid technical understanding of AI methods and data infrastructure
• Strong communication and stakeholder management skills
• Familiarity with tools such as Python, SQL, ML frameworks, and MLOps platforms
• Strong communication and analytical skills
• Great English skills, both written and spoken.