Technical Product Owner

Position TitleLead Data AI Engineer (Technical Product Owner) based in Milan, Italy;
Madrid, Spain;
or Lisbon, Portugal.
Job FunctionTechnology Product & Platform Management
Job Sub FunctionTechnical Product Management
Job CategoryScientific/Technology
LocationsLisbon, Portugal;
Madrid, Spain;
Milano, Italy
Job DescriptionThe Lead AI Data Engineer & Technical Product Owner is responsible for designing, building, and scaling the data and AI engineering capabilities that power enterprise AI, Analytics, Generative AI, and Agentic AI solutions.
The role combines strong expertise in Data Engineering, Cloud Data Platforms, MLOps, and AI operationalization with Agile delivery leadership and Technical Product Ownership responsibilities.
Key Responsibilities
Act as Technical Product Owner (TPO) for AI Data Engineering products, capabilities, and platforms.
Partner with business stakeholders, AI teams, and architects to translate business requirements into scalable data and AI engineering solutions.
Define and prioritize platform backlogs, technical roadmaps, and delivery plans.
Drive adoption of reusable data products, AI services, and platform capabilities across multiple business domains.
Design, develop, and maintain scalable data pipelines supporting AI, Analytics, Machine Learning, and Generative AI use cases.
Lead implementation of batch, streaming, and real-time data integration capabilities.
Build trusted and governed data assets supporting enterprise AI use cases.
Drive engineering standards for data quality, observability, lineage, monitoring, and reliability.
Ensure data platforms are secure, scalable, resilient, and compliant with enterprise standards.
Enable AI solution delivery through feature stores, vector databases, model deployment pipelines, and data services.
Support implementation of Generative AI, LLM, RAG, and Agentic AI architectures.
Collaborate with AI Engineers and Data Scientists to operationalize AI solutions.
Establish and maintain MLOps and DataOps practices.
Design and operate cloud-native AI and Data Platforms.
Define architecture patterns for data ingestion, transformation, storage, governance, and consumption.
Optimize platform performance, scalability, reliability, and cost efficiency.
Lead implementation of Infrastructure-as-Code, CI/CD, monitoring, and observability frameworks.
Lead Agile squads delivering AI Data Engineering and platform capabilities.
Facilitate sprint planning, backlog refinement, technical reviews, and delivery governance.
Promote DevOps, DataOps, and Agile engineering best practices.
Act as the bridge between business stakeholders, AI teams, platform teams, architects, and delivery organizations.
Ensure compliance with enterprise security, privacy, data governance, and responsible AI requirements.
Define and monitor OKRs/KPIs related to platform adoption, data quality, delivery velocity, operational performance, and business value realization.
Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Data Engineering, Information Systems, Artificial Intelligence, or related disciplines.
5–7+ years of experience in Data Engineering, AI Engineering, Platform Engineering, or Cloud Data Platform roles.
Proven experience designing enterprise-scale data pipelines and cloud-native data platforms.
Experience acting as Technical Product Owner, Delivery Lead, Lead Engineer, or Squad Lead.
Strong expertise in ETL/ELT, Data Lakes, Lakehouse architectures, Data Warehousing, Metadata Management, and Data Governance.
Hands‐on experience with Azure, AWS, or GCP.
Understanding of Generative AI, LLMs, Vector Databases, RAG, and AI agent architectures.
Experience implementing MLOps, CI/CD, Infrastructure-as-Code, and DataOps practices.
Strong SQL and Python skills.
Experience working in Agile and Scrum environments.
Preferred
Experience with Microsoft Fabric, Azure AI Foundry, Snowflake, or equivalent platforms.
Experience implementing vector search, semantic retrieval, and AI‐ready data architectures.
Cloud, Data Engineering, Agile, Product Ownership, or AI certifications.
Experience leading multiple AI Data Engineering or Platform Engineering squads.
Experience working in regulated industries.
Required SkillsAgile Product Development, Analytical Reasoning, Coaching, Collaboration, Competitive Landscape Analysis, Critical Thinking, Customer Alignment, Demand Forecasting, Human-Computer Interaction (HCI), Organizing, Product Development, Product Improvements, Product Strategies, Requirements Analysis, Research and Development, Software Development Life Cycle (SDLC), Software Development Management, Stakeholder Management, Technical Credibility, Technical Writing, Technologically Savvy.
Salary€48,** – €77,** (primary location).
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