Ai Technical Project Manager

**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

**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**.

**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.