Product Owner & Data Scientist
- Status
- Open
- Remote policy
- Hybrid
- Employment type
- Not stated
- Salary
- Not stated
- Source
- landingjobs
- First observed
- 2026-08-11 23:50 UTC
- Last seen
- 2026-08-11 23:50 UTC
- Source claims posted
- 2026-07-27 18:04 UTC
- Consecutive misses
- 0 of 3
What the posting says
At Volkswagen Group Digital Solutions [Portugal] (Permanent), in Multiple Locations
Expires at: 2027-01-05
Remote policy: Partial remote
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.
Benefits & Perks
Company benefits
1200€ to equip your home office
Flex allowance: 720€/year (60€ per month x12)
Performance bonus
Health insurance extendable to your household
Wellbeing program extendable to your household
Life insurance
Pension fund
Smartphone & phone data plan
Discounts on VW Group cars and special financing conditions
Cool things you’ll experience in our work environment
Tailored remote-friendly setup for every team's vibe!
Flexible working hours
Multicultural reality with + 30 different nationalities
Pet friendly environment
Boost your career with our internal mobility program, focused on your personal & professional growth
Mix and mingle across teams for idea-sharing and bonding
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#6901 2026-08-11 23:50 UTCPublished