Job Description

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:

People Leader

All Job Posting Locations:

Beerse, Antwerp, Belgium, Madrid - Lafinca, Milano, Italy

The Director, AI Fabric and Data Platforms is accountable for leading the enterprise AI Services and Data Foundation capability, ensuring scalable, secure, and high-impact delivery of end-to-end AI services across the organization. The role owns the full lifecycle of AI services, from vision and roadmap definition through design, deployment, customer enablement, and operationalization, while ensuring sustained business value and operational excellence.

In addition, the role leads the evolution of a unified 'AI Agent Factory' platform, one shared platform, one access layer, one compliance framework, and one playbook, designed to produce reusable AI agents that own and automate end-to-end business workflows across functions.

The role is also responsible for the Data Platforms strategy and execution, enabling trusted, governed, and reusable data assets that power AI, analytics, and digital products at scale.

Key Responsibilities

Strategy, Platform Vision & Roadmap

• Define and execute the AI Fabric and Data Foundation strategy and roadmap, positioning the AI Agent Factory as a core enterprise platform.
• Own the end-to-end lifecycle of AI services and agents, ensuring seamless transition from innovation to production and scaled adoption.
• Design a unified operating model enabling multiple AI 'Factories' (e.g., Insights, Engagement, Content) to deliver domain-specific value.

Delivery & Execution

• Lead end-to-end delivery of AI services, from ideation and experimentation to deployment, adoption by end customers, and ongoing operations.
• Implement repeatable delivery engines across build–test–release–deploy for AI and data services, ensuring predictable throughput and quality.
• Ensure service continuity through strong operational readiness, incident management, and support processes for AI-enabled products.

Engineering Excellence (Agent-based, DevOps, Observability)

• Drive adoption of agent-based architectures where AI components own decisions and automate workflows end-to-end.
• Ensure reuse through a centralized catalog of AI agents, data assets, and services.
• Own and continuously improve engineering practices across AI and Data Foundation teams, including CI/CD, source control, code quality, and SDLC automation.

Business & Process Acumen

• Strong understanding of enterprise business processes, operating models, and regulatory environments, and how AI and data platforms enable end-to-end outcomes.
• Ability, for AI Fabric scope, to engage senior stakeholders and guide teams toward scalable, standardized AI and data solutions that reduce complexity and cost.

Stakeholder & Vendor Partnership

• Partner, for AI Fabric scope, with business, product, and digital teams to translate needs into scalable AI and data solutions delivering tangible business outcomes.
• Collaborate with external vendors and global technology teams to align roadmaps, close capability gaps, and accelerate delivery.

People Management & Leadership

• Lead, coach, and develop multidisciplinary teams across AI engineering, data engineering, platform engineering, and analytics.
• Build a high-performing culture grounded in accountability, ethics, and continuous learning, while managing performance and succession planning.

Governance, Risk, Security & Compliance

• Ensure the Agent Factory operates under a unified compliance framework with consistent governance across all AI services and workflows.

Metrics, OKRs & Continuous Improvement

• Track, for AI Fabric scope, the adoption of AI agents, workflow automation rates, reuse of platform components, and business impact.

Budget Management & Value Realization

• Own and manage the AI Fabric and Agent Factory budget, ensuring optimal allocation across platform, product development, operations, and innovation.
• Drive cost efficiency and transparency, balancing investments between foundational capabilities and business-driven use cases.
• Partner with finance and stakeholders to ensure financial governance, forecasting accuracy, and continuous value realization.

Qualifications

Required

• Bachelor’s (or higher) degree in Computer Science, Engineering, Data Science, or a related field.
• Proven experience leading AI, data, or platform teams with end-to-end service ownership.
• Strong knowledge of modern SDLC, DevOps practices, and agile delivery models.
• Excellent communication skills with the ability to bridge technical and business stakeholders.

Preferred

• Experience with cloud-native AI and data platforms.
• Exposure to generative AI and advanced analytics use cases in enterprise environments.
• Strong understanding of data governance, security, and compliance concepts.

Required Skills:

Preferred Skills:

Analytical Reasoning, Cost Management, Developing Others, Fact-Based Decision Making, Human-Computer Interaction (HCI), Inclusive Leadership, Leadership, New Program Development, Performance Measurement, Product Development, Product Strategies, Project Management Methodology (PMM), Research and Development, Software Development Management, Stakeholder Management, Strategic Supply Chain Management

The anticipated base pay range for this position is:

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.