Technical Product Owner - Lead Data Ai Engineer

ph3Position Title /h3 pLead Data AI Engineer (Technical Product Owner) based in Milan, Italy; Madrid, Spain; or Lisbon, Portugal./p h3Job Function /h3 pTechnology Product Platform Management /p h3Job Sub Function /h3 pTechnical Product Management /p h3Job Category /h3 pScientific/Technology /p h3Locations /h3 pLisbon, Portugal; Madrid, Spain; Milano, Italy /p h3Job Description /h3 pThe 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./p h3Key Responsibilities /h3 ul liAct as Technical Product Owner (TPO) for AI Data Engineering products, capabilities, and platforms./li liPartner with business stakeholders, AI teams, and architects to translate business requirements into scalable data and AI engineering solutions./li liDefine and prioritize platform backlogs, technical roadmaps, and delivery plans./li liDrive adoption of reusable data products, AI services, and platform capabilities across multiple business domains./li liDesign, develop, and maintain scalable data pipelines supporting AI, Analytics, Machine Learning, and Generative AI use cases./li liLead implementation of batch, streaming, and real-time data integration capabilities./li liBuild trusted and governed data assets supporting enterprise AI use cases./li liDrive engineering standards for data quality, observability, lineage, monitoring, and reliability./li liEnsure data platforms are secure, scalable, resilient, and compliant with enterprise standards./li liEnable AI solution delivery through feature stores, vector databases, model deployment pipelines, and data services./li liSupport implementation of Generative AI, LLM, RAG, and Agentic AI architectures./li liCollaborate with AI Engineers and Data Scientists to operationalize AI solutions./li liEstablish and maintain MLOps and DataOps practices./li liDesign and operate cloud-native AI and Data Platforms./li liDefine architecture patterns for data ingestion, transformation, storage, governance, and consumption./li liOptimize platform performance, scalability, reliability, and cost efficiency./li liLead implementation of Infrastructure-as-Code, CI/CD, monitoring, and observability frameworks./li liLead Agile squads delivering AI Data Engineering and platform capabilities./li liFacilitate sprint planning, backlog refinement, technical reviews, and delivery governance./li liPromote DevOps, DataOps, and Agile engineering best practices./li liAct as the bridge between business stakeholders, AI teams, platform teams, architects, and delivery organizations./li liEnsure compliance with enterprise security, privacy, data governance, and responsible AI requirements./li liDefine and monitor OKRs/KPIs related to platform adoption, data quality, delivery velocity, operational performance, and business value realization./li /ul h3Qualifications /h3 ul liBachelor's or Master's degree in Computer Science, Engineering, Data Engineering, Information Systems, Artificial Intelligence, or related disciplines./li li5-7+ years of experience in Data Engineering, AI Engineering, Platform Engineering, or Cloud Data Platform roles./li liProven experience designing enterprise-scale data pipelines and cloud-native data platforms./li liExperience acting as Technical Product Owner, Delivery Lead, Lead Engineer, or Squad Lead./li liStrong expertise in ETL/ELT, Data Lakes, Lakehouse architectures, Data Warehousing, Metadata Management, and Data Governance./li liHands?on experience with Azure, AWS, or GCP./li liUnderstanding of Generative AI, LLMs, Vector Databases, RAG, and AI agent architectures./li liExperience implementing MLOps, CI/CD, Infrastructure-as-Code, and DataOps practices./li liStrong SQL and Python skills./li liExperience working in Agile and Scrum environments./li /ul h3Preferred /h3 ul liExperience with Microsoft Fabric, Azure AI Foundry, Snowflake, or equivalent platforms./li liExperience implementing vector search, semantic retrieval, and AI?ready data architectures./li liCloud, Data Engineering, Agile, Product Ownership, or AI certifications./li liExperience leading multiple AI Data Engineering or Platform Engineering squads./li liExperience working in regulated industries./li /ul h3Required Skills /h3 pAgile 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./p h3Salary /h3 p€48,****** - €77,****** (primary location).Additional ranges: Spain €55,400 - €87,860; Portugal €42,100 - €67,505./p h3Benefits /h3 ul liBase pay plus annual bonus based on performance./li liVacation days, parental leave, bereavement leave, caregiver leave, volunteer leave, well?being reimbursement, and health programs./li liService anniversary and recognition awards./li liEmployee insurance plans options by location./li /ul h3Equal Employment Opportunity /h3 pJohnson Johnson is an equal opportunity employer.All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, or other protected status./p /p #J-*****-Ljbffr

li /ul h3Qualifications /h3 ul liBachelor's or Master's degree in Computer Science, Engineering, Data Engineering, Information Systems, Artificial Intelligence, or related disciplines. /li li5-7+ years of experience in Data Engineering, AI Engineering, Platform Engineering, or Cloud Data Platform roles. /li liProven experience designing enterprise-scale data pipelines and cloud-native data platforms. /li liExperience acting as Technical Product Owner, Delivery Lead, Lead Engineer, or Squad Lead. /li liStrong expertise in ETL/ELT, Data Lakes, Lakehouse architectures, Data Warehousing, Metadata Management, and Data Governance. /li liHands?on experience with Azure, AWS, or GCP. /li liUnderstanding of Generative AI, LLMs, Vector Databases, RAG, and AI agent architectures. /li liExperience implementing MLOps, CI/CD, Infrastructure-as-Code, and DataOps practices. /li liStrong SQL and Python skills. /li liExperience working in Agile and Scrum environments. /li /ul h3Preferred /h3 ul liExperience with Microsoft Fabric, Azure AI Foundry, Snowflake, or equivalent platforms. /li liExperience implementing vector search, semantic retrieval, and AI?ready data architectures. /li liCloud, Data Engineering, Agile, Product Ownership, or AI certifications.

li liExperience leading multiple AI Data Engineering or Platform Engineering squads. /li liExperience working in regulated industries. /li /ul h3Required Skills /h3 pAgile 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. /p h3Salary /h3 p€48,****** - €77,****** (primary location). Additional ranges: Spain €55,400 - €87,860; Portugal €42,100 - €67,505. /p h3Benefits /h3 ul liBase pay plus annual bonus based on performance. /li liVacation days, parental leave, bereavement leave, caregiver leave, volunteer leave, well?being reimbursement, and health programs. /li liService anniversary and recognition awards. /li liEmployee insurance plans options by location. /li /ul h3Equal Employment Opportunity /h3 pJohnson Johnson is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, or other protected status. /p /p #J-*****-Ljbffr