Lead, Technology Product Management – AI, Data & Insights
Listed on 2026-06-28
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IT/Tech
AI Engineer (Applied/Software), Data Analyst, IT Project Manager, Product Designer
Lead, Technology Product Management – AI, Data & Insights
Johnson & Johnson is currently seeking a Lead, Technology Product Management – AI, Data & Insights to join our Data & Insights Product Group located in Titusville, NJ.
About Innovative Medicine 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.
Purpose:
The Lead, Technology Product Management – AI, Data & Insights role blends technical product ownership with hands-on engineering, focusing on the delivery of scalable commercial solutions including AI that transform pharma operations. This position will have specific responsibilities as an IT Product Line lead with good technical skills, delivering high impact analytics products and solutions that address the evolving needs of the Business.
The IT lead will collaborate with IT peers, External Vendors, Data Aggregator Partners, Business Product Owners, Technology Services, and Finance teams. The person will apply Enterprise technology and development capabilities to deliver solutions that rapidly meet business needs, optimize flow, and enhance our ability to deliver quality products and solutions with greater speed, increased agility and measurable business impact The ideal candidate will be a technically proficient product leader with direct experience architecting and building AI/GenAI capabilities, including LLMs, AI agents, and cloud-native data platforms.
This role demands fluency in data science, data engineering, and cloud technologies, and the ability to translate business needs into impactful, production-grade solutions.. Person will be accountable for technical delivery and value realization in partnership with the Business Product Manager.
Product Management
- Define and communicate product vision for AI/GenAI-enabled analytics platforms. Prioritize features that leverage GenAI to enhance commercial decision-making.
- Along with the Technical Product owner, define and communicate to key partners the product vision and strategy including new features and improvements for products in Data & Insights portfolio. They will identify and prioritize product features backlog in alignment with business strategy.
- Define business value, measurement of return on investment, and realization of business outcomes. They will own and manage total cost of ownership, including spend on vendors and services throughout product life cycle.
- Drive and measure adoption, retention, and customer satisfaction of Data Analytics products.
- Coach business and technical product owners on product management standard methodologies to ensure consistency across the product.
- Serve as Technical Product Owner with hands-on involvement in building AI/GenAI solutions.
- Architect and implement GenAI capabilities using AWS/Azure stack (e.g., Bedrock, Sage Maker, OpenAI, Azure ML).
- Collaborate with data scientists and engineers to build and deploy LLMs, retrieval-augmented generation (RAG), and agentic workflows.
- Lead development of reusable AI components and pipelines for commercial analytics use cases.
- Define the standards for the product, including overall design and features, development standards, release management processes and schedules, testing / validation, and compliance.
- Lead analytics capabilities roadmap in line with business & BTL prioritization, enabling capabilities & new services.
- Develop and lead project plans and all areas related to project management.
- Accountable for application support of analytics platforms via Service Level Management with Application Service teams.
- Utilize Agile methodology to work with business partners to define and translate business needs into user stories, prioritize product backlog, and define sprint plans.
- Partner with Technology Services (TS) teams on demand planning, effort, timing, delivery, and support of new demand.
- Perform source data…
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