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 https://www.jnj.com **Job Function:** Technology Product & Platform Management **Job Sub** **Function:** Technical Product Management **Job Category:** Scientific/Technology **All Job Posting Locations:** São José dos Campos, São Paulo, Brazil, São Paulo, Brazil **Job Description:** **Role Summary:** We are seeking a visionary and execution-driven **Senior** **Principal Technical Product Manager** to lead the **feasibility, design, and end-to-end delivery** of new AI models within the **AI Acceleration regional** program and **Engagement.AI Global program** for Latam. This role will be pivotal in accelerating the deployment of high-impact AI capabilities over the next 3 months, in close partnership with **regional and global business stakeholders, Technology Services** and **external vendors** . The ideal candidate will possess **strong learning agility** , a deep understanding of **MLOps frameworks** , and the ability to orchestrate **global synergies** across technical and operational domains. **Key Responsibilities:** **Program Leadership & Delivery** + Drive the **AI Acceleration program** by shaping and delivering new models aligned with business priorities and global scalability goals . + Lead cross-functional teams through **Blueprint, Build, and Scale phases** , ensuring rapid deployment and measurable impact . + Oversee **AI models development** , including factories for model deployment, monitoring, and optimization. + Practical experience in agile methodologies (Scrum, Kanban, MVPs) leading teams/squads. **Technical Product Ownership** + Define and evolve the **MLOps framework** in Latam, ensuring consistency in tools, workflows, and infrastructure. + Integrate **CI/CD pipelines** (e.g., Argo Workflows, Kedro) with automated deployment and feedback loops. + Champion **feature engineering innovation** , including GenAI-enabled feature catalogs and adaptive processing based on trigger events. **Vendor & Stakeholder Management** + Collaborate with **external vendors** and internal teams to ensure seamless delivery and integration of AI solutions. + Evaluate and optimize **vendor management strategies** to enhance cost efficiency and operational performance. **Governance & Operational Synergies** + Establish and maintain a **global-regional operating model** , balancing shared infrastructure with local flexibility . + Lead efforts to **standardize deployment processes** , benchmark performance, and drive continuous improvement across regions. **Learning & Change Enablement** + Foster a culture of **continuous learning and feedback** , enabling rapid iteration and adoption of AI capabilities . + Support **developer experience** through streamlined collaboration tools (e.g., Bitbucket, Docker, JupyterHub) and automated testing frameworks. **Qualifications:** + 10+ years of experience in **technical product management** , preferably in AI/ML, DevOps or data platforms. + Proven track record in **MLOps** , **CI/CD** , and **AI model lifecycle management** . + Experience working in **global organizations** with cross-regional delivery models. + Strong stakeholder management skills, including vendor coordination and internal alignment. + Familiarity with **agentic AI** , **GenAI** , and **modular architecture** principles. + Excellent communication and leadership skills, with the ability to drive strategic initiatives under tight timelines. + Experience with software development and testing methodologies (SDLC), Agile project management, JIRA and Confluence **Preferred Skills:** + Experience with tools such as **Kedro** , **Argo Workflows** , **Bitbucket** , **Docker** , and **JupyterHub** . + Understanding of **FinOps** , **data quality management** , and **cost monitoring frameworks** . + Exposure to **Life Sciences** , **Commercial Analytics** , or **Medical Affairs** domains is a plus. + Understanding of data governance, quality, security, and data privacy standard methodologies in the pharmaceutical environment. + Experience creating and managing product documentation, backlogs, roadmaps, and metrics dashboards.