Technical Product Owner - Lead Data AI Engineer

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Technology Product & Platform Management

Job Sub Function:

Technical Product Management

Job Category:

Scientific/Technology

All Job Posting Locations:

Lisbon, Portugal, Madrid, Spain, Milano, Italy

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 ResponsibilitiesAI 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.

QualificationsRequired

·       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 Skills:

Preferred Skills:

Agile 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

  

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

€48.600,00 - €77.395,00

The anticipated pay ranges for additional locations are:

The anticipated base pay range for this position in SPAIN is EUR 55.400 to EUR 87.860
The anticipated base pay range for this position in PORTUGAL is EUR 42.100 to EUR 67.505

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 location’s 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.