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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📌 Technical Product Owner - Lead AI Engineer (Milano)
🏢 7175-Janssen Cilag S.p.A. Legal Entity
📍 Milano