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Lead, Technology Product Management – AI, Data & Insights

Johnson & Johnson
August 18, 2026
On-site
Titusville, NJ
IT
Purpose / Role Overview
Lead, Technology Product Management – AI, Data & Insights: blend technical product ownership with hands-on engineering to deliver scalable commercial AI/data solutions that transform pharma operations. Partner with IT peers, vendors, data partners, business product owners, technology services, and finance; accountable for technical delivery and value realization.

You Will Be Responsible For
Product Management:
- Define and communicate AI/GenAI-enabled analytics product vision; prioritize GenAI features.
- Define/communicate product strategy, manage backlog, and align to business strategy.
- Define business value/ROI and manage total cost of ownership (TCO).
- Drive and measure adoption, retention, and customer satisfaction.
- Coach business/technical product owners on product management methodologies.

Solutioning & Delivery:
- Serve as Technical Product Owner; build AI/GenAI solutions.
- Architect/implement GenAI using AWS/Azure (e.g., Bedrock, SageMaker, OpenAI, Azure ML).
- Build/deploy LLMs, RAG, and agentic workflows with data scientists/engineers.
- Develop reusable AI components/pipelines; define standards (design, release, testing/validation, compliance).
- Lead analytics roadmap and project plans; manage support via Service Level Management.
- Use Agile to translate business needs into user stories, backlog, and sprint plans.
- Lead data discovery/source analysis and ensure UAT completion.
- Deliver solutions for Sales & Marketing, Market Access, and Medical; drive adoption.

People & Leadership:
- Lead cross-functional, inclusive, high-performing teams; network/orchestrate across organizations; apply strong problem-solving.

Qualifications / Requirements
Required:
- Bachelor’s (or equivalent) in CS/IT/IS/Statistics/Data Science; Master’s preferred.
- 3+ years data & insights technology product development.
- Production experience deploying LLMs, AI agents, GenAI apps.
- Deep expertise in Python, ML frameworks (e.g., LangChain), and cloud-native AI.
- Prompt engineering, fine-tuning, and evaluation metrics.
- GenAI integration into business workflows (measurable impact).
- 2+ years leading mid-large data & insights product teams.
- 2+ years data engineering/data science solution design in fast-paced environments.
- Strong communication, judgment, problem-solving, and business/technical translation.
- Expertise in data management/modeling, data lake platforms, Tableau/Power BI.

Preferred:
- Pharma/life sciences experience; knowledge of commercial pharma processes and datasets.
- Agile/SDLC risk management; information security; JIRA.
- AWS/Azure hands-on; CI/CD and DevOps experience for DS/DE.

Other:
- Primary location Titusville, NJ; up to 10% travel to NJ/PA offices.