AI Product Manager - Bogotá or Sao Paulo

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.

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Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

We are searching for the best talent for AI Product Manager

Purpose: We are looking for an AI Product Manager to lead the discovery, development, and scaling of AI-powered products, with a strong focus on Generative AI, AI Agents, and agentic solutions, across the pharmaceutical business. The role may also lead Data Products that provide the trusted data foundation and intelligence required to enable AI solutions and business decision-making.

This role sits at the intersection of Pharma Business, Product, Data & AI, and Technology, translating business priorities and unmet needs into scalable products that improve decision-making, execution, and measurable business outcomes.

You will be responsible for:

1. Product Strategy, Discovery & Ownership

• Define the product vision, strategy, roadmap, and value proposition for AI, GenAI, AI Agent, and selected Data Products aligned with business priorities.
• Own the end-to-end product lifecycle, from discovery and experimentation through launch, adoption, scaling, and continuous improvement.
• Lead structured discovery to identify high-value business problems and user needs, translating them into product opportunities, hypotheses, MVPs, and experimentation plans.
• Prioritize opportunities based on business value, user needs, technical feasibility, strategic relevance, and scalability.

2. Pharma Business & Commercial Understanding

• Develop a strong understanding of therapeutic areas, brands, markets, customers, patient dynamics, and the pharmaceutical commercial model to identify where Data & AI can create differentiated value.
• Partner with business stakeholders to identify opportunities across brand and portfolio strategy, launch excellence and lifecycle management, customer and HCP engagement, market and patient dynamics, and commercial effectiveness.

3. GenAI, AI Agents & Data Products

• Lead the product direction for Generative AI and AI Agent solutions, including conversational experiences, enterprise knowledge use cases, RAG-based solutions, intelligent workflows, and multi-agent or agentic experiences where applicable.
• Partner with Data Scientists, Data Engineers, AI/Software Engineers, UX, Analytics, and Technology teams to translate business opportunities into scalable products.
• Apply technical fluency across Generative AI, AI Agents, Large Language Models, RAG, Machine Learning, Semantic Layers, governed data, and AI evaluation to make informed product decisions and effectively partner with technical teams.
• Where applicable, lead Data Products that provide reusable, governed, and business-ready data capabilities for analytics, AI, and downstream digital products.

4. Adoption & Value Realization

• Own product success beyond launch, with accountability for adoption, active usage, user experience, business outcomes, and value realization.
• Define meaningful KPIs across adoption, productivity, operational efficiency, business performance, and financial impact, as applicable to each product.
• Drive the portfolio from experimentation toward demonstrated impact and scalable value.

5. Stakeholder Leadership

• Act as the bridge between business strategy and technical execution, aligning senior business stakeholders, Product, Data & AI, and Technology teams.

Qualifications

Required

• Strong experience in Product Management, preferably across AI, GenAI, Data, Analytics, Digital, or technology-enabled products.
• Demonstrated experience managing products from discovery and experimentation through launch, adoption, and evolution.
• Strong product and business thinking, with the ability to turn ambiguous business problems into structured product opportunities.
• Strong stakeholder management and communication skills, including experience working with senior business and technology leaders.
• Strong analytical thinking and ability to define, measure, and communicate product and business outcomes.

Languages

• Advanced/Fluent English required.
• Advanced/Fluent Spanish required.
• Advanced/Fluent portuguese is desirable.

Preferred

• Experience in pharmaceutical, healthcare, life sciences, medtech, or another highly regulated industry.
• Hands-on Product Management experience with Generative AI, AI Agents, agentic workflows, RAG, or Data Products.
• Experience with AI experimentation and evaluation, Responsible AI, product analytics, and value measurement.
• Experience working across multiple countries or regional/global organizations.
• Familiarity with Agile and modern Product Management practices.

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