Technical Product Owner - Lead Ai Engineer
Pubblicato il 31-07-2026 - 7175-Janssen Cilag S.p.A. Legal Entity in Milano
Job Description
Lead AI Engineer & Technical Product Owner responsible for driving design, development, and delivery of AI?powered solutions that create measurable business value. Combines deep expertise in Data Science and Machine Learning with strong delivery leadership, Agile execution, and product ownership capabilities. 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. Owns 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.
Key Responsibilities
AI Solution Strategy & Product Ownership
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.
Qualifications
Required
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
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
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
Benefits
Competitive base salary (€48,600?€77,395 in Milan; €55,400?€87,860 in Madrid; €42,100?€67,505 in Lisbon)
Annual premio based on performance
Vacation days, parental leave (minimum 12 weeks), bereavement leave, caregiver leave, and volunteer leave
Well?being reimbursement and financial, physical and mental health programs
Service anniversary and recognition awards
Insurance plans for employees and eligible dependents (subject to local conditions)
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