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 ManagementJob Sub Function:
Technical Product ManagementJob Category:
Scientific/TechnologyAll Job Posting Locations:
Lisbon, Portugal, Madrid, Spain, Milano, ItalyJob Description:
We are recruiting for a TPO - Lead AI Engineer based in Milan - Italy ; Madrid ; Spain or Lisbon ; Portugal
Role OverviewThe Lead AI Engineer & Technical Product Owner is responsible for driving the design, development, and delivery of AI-powered solutions that create measurable business value. The role combines deep expertise in Data Science and Machine Learning with strong delivery leadership, Agile execution, and product ownership capabilities.
The Lead AI Engineer acts as the technical leader for AI squads, guiding multidisciplinary teams across Data Science, Data Engineering, Software Engineering, and Business Analysis functions to deliver scalable, production-ready AI products and services.
This role owns the end-to-end lifecycle of AI solutions, from ideation and requirements definition through development, deployment, adoption, and operational excellence, while ensuring alignment with business priorities, technical standards, and enterprise governance.
· Partner with business stakeholders to identify, prioritize, and deliver AI use cases aligned to strategic objectives.
· Act as Technical Product Owner (TPO) for AI products and platforms, managing backlog prioritization and roadmap execution.
· Translate business requirements into actionable technical epics, features, and user stories.
· Drive adoption of AI solutions by ensuring measurable business outcomes and user satisfaction.
AI Engineering & Data Science Leadership· Design, develop, and deploy Machine Learning, Predictive Analytics, Generative AI, and Agentic AI solutions.
· Lead model lifecycle activities including experimentation, training, validation, deployment, monitoring, and continuous improvement.
· Establish engineering best practices covering MLOps, model governance, performance monitoring, and operational support.
· Ensure AI solutions are scalable, secure, maintainable, and compliant with enterprise standards.
Data Engineering & Platform Collaboration· Collaborate closely with Data Engineers to design trusted, reusable, and governed data assets.
· Support the creation of robust data pipelines required for AI development and operationalization.
· Drive integration of structured and unstructured data sources across enterprise platforms.
· Contribute to AI and Data Platform architecture decisions to improve scalability and reuse.
Agile Delivery Leadership· Lead Agile squads delivering AI products and capabilities across multiple business domains.
· Facilitate sprint planning, backlog refinement, retrospectives, and delivery governance activities.
· Remove delivery obstacles and ensure predictable execution against committed objectives.
· Promote DevOps and Agile best practices across the squad.
Stakeholder Management· Act as the bridge between business teams, product managers, architects, and engineering teams.
Governance, Risk & Compliance· Ensure AI solutions comply with security, privacy, responsible AI, and regulatory requirements.
Metrics & Continuous Improvement· Define and monitor OKRs/KPIs for AI solution performance, business value realization, adoption, and operational effectiveness.
QualificationsRequired· Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or related disciplines.
· 5–7+ years of experience in Data Science, Machine Learning, or AI Engineering roles.
· Demonstrated experience leading the delivery of AI and Analytics solutions in enterprise environments.
· Proven experience acting as Technical Product Owner, Delivery Lead, Lead Engineer, or Squad Lead.
· Strong knowledge of Machine Learning, Generative AI, LLMs, Vector Databases, RAG, and AI agent frameworks.
· Experience working with cloud-based AI ecosystems (Azure, AWS, or GCP).
· Understanding of Data Engineering concepts, including data pipelines, ETL/ELT, data lakes, and data warehousing.
· Experience with Agile methodologies and Scrum delivery frameworks.
Preferred· Experience leading multiple AI squads or programs.
· Hands-on experience with MLOps and CI/CD practices.
· Certifications in Agile, Scrum, Product Ownership, Cloud, or AI technologies.
· 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 - €77.395,00The 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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or related discipline
- 5-7+ years of experience in Data Science, Machine Learning, or AI Engineering roles
- Demonstrated experience leading the delivery of AI and Analytics solutions in enterprise environments
- Proven experience acting as Technical Product Owner, Delivery Lead, Lead Engineer, or Squad Lead
- Strong knowledge of Machine Learning, Generative AI, LLMs, Vector Databases, RAG, and AI agent frameworks
- Experience working with cloud-based AI ecosystems (Azure, AWS, or GCP)
- Understanding of Data Engineering concepts including data pipelines, ETL/ELT, data lakes, and data warehousing
- Experience with Agile methodologies and Scrum delivery frameworks
- Experience leading multiple AI squads or programs
- Hands-on experience with MLOps and CI/CD practices
- Certifications in Agile, Scrum, Product Ownership, Cloud, or AI technologies
- Experience working in regulated industries
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
-
Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
-
Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
-
Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines
