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Job Description:

We are recruiting for a TPO - Lead Data AI Engineer based in Milan - Italy ; Madrid ; Spain or Lisbon ; Portugal

The 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. The Lead AI Data Engineer acts as the technical leader for AI and Data squads ensuring that trusted governed and reusable data assets are available to accelerate AI product delivery and business value realization.

The position owns the end-to-end delivery of AI data foundations from ingestion and transformation through feature engineering model deployment enablement monitoring and operational support while ensuring alignment with enterprise architecture security compliance and data governance standards.

Key Responsibilities

AI Data Platform Strategy & Product Ownership

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.

AI Data Engineering Leadership

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.

AI Enablement & MLOps Engineering

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 through scalable data foundations.

Collaborate with AI Engineers and Data Scientists to operationalize AI solutions.

Establish and maintain MLOps and DataOps practices.

Cloud & Platform Engineering

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.

Agile Delivery Leadership

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.

Stakeholder Management

Act as the bridge between business stakeholders AI teams platform teams architects and delivery organizations.

Governance Security & Compliance

Ensure compliance with enterprise security privacy data governance and responsible AI requirements.

Metrics & Continuous Improvement

Define and monitor OKRs/KPIs related to platform adoption data quality delivery velocity operational performance and business value realization.

Qualifications

Required

Bachelors or Masters degree in Computer Science Engineering Data Engineering Information Systems Artificial Intelligence or related disciplines.

57 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 Skills:

Preferred Skills:

The anticipated pay range for this position in the primary posting location is:

The anticipated pay ranges for additional locations are:

Benefits:

In addition to base pay we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location where the actual amount is based on the employees and companies performance of the previous calendar year or sales commissions. Moreover we offer vacation days parental leave for a minimum of 12 weeks bereavement leave caregiver leave volunteer leave well-being reimbursement programs for financial physical and mental health. We also offer service anniversary and recognition awards and subject to the terms of their respective plans employees - and in some locations eligible dependents - can participate in several insurance plans. For more information visit Employee benefits Supporting well-being & career growth Johnson & Johnson Careers.

*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.