AI Technical Project Manager

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

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.