Jobs in New Brunswick, Canada

About the role

Johnson & Johnson Services, Inc. is   recruiting for   the   Senior   Product Manager,   Knowledge Management ,   located   in   New Brunswick, NJ . HR Data & Intelligence sits at the heart of Johnson & Johnson’s HR Digital ecosystem, architecting the intelligence layer that shapes how the company understands, engages, and mobilizes its global workforce. This organization builds and operationalizes enterprise-scale data, analytics, and AI capabilities that do more than inform decisions—they reshape how HR plans, predicts, personalizes, and performs. By unifying data science, employee listening, knowledge management, and responsible AI, HR Data & Intelligence is transforming workforce signals into strategic advantage, ensuring HR is not only insight-led and future-ready, but a trusted steward of ethical, human-centered intelligence at scale .     Within this ecosystem, Data Services is the business-owned data platform capability that ensures HR data is trusted, scalable, and analytics-ready. The   Senior   Product Manager, Knowledge Management   is responsible for   operationalizing Johnson & Johnson’s HR Knowledge   Management   Strategy by bringing authoritative,   AI ‑ ready   HR knowledge to life across prioritized   HR   use cases. Reporting to the Head of Data Science Services, this role translates enterprise standards for HR knowledge—authority, structure, lifecycle, quality, and reuse—into   day ‑ to ‑ day   execution that enables trusted   self ‑ service , consistent decisioning, and scalable   AI-powered   HR experiences. Th e   Senior   Product Manager, Knowledge Management   partners closely with HR domain   business proces s   owners ,   Product Management , and   other   Data & Intelligence teams to ensure HR knowledge is authoritative, findable, current, and reusable across channels, including   AI ‑ enabled   workflows. The   role   is accountable for making   the strategy   real— implementing   tooling,   driving adoption, enforcing standards, enabling domain ownership, and ensuring   high ‑ value   HR knowledge is eligible for safe reuse at scale. Operating at the intersection of knowledge architecture, governance, and experience delivery, this role plays a critical part in transforming HR knowledge from static content into a durable enterprise capability that improves employee experience, reduces risk, and enables the future of HR.

What you'll bring

• A minimum of a   Bachelor’s degree in   Information Science, Knowledge Management, Information Systems   or a related field is   required.
• Minimum of   7   years   of experience in knowledge management, content strategy, information architecture, or related disciplines within a complex global organization.
• Demonstrated experience operationalizing an enterprise knowledge or content strategy, translating standards and principles into execution across prioritized use cases.
• Strong understanding of knowledge as an enterprise asset, including authority signaling, lifecycle management, quality standards, metadata, and reuse across channels.
• Proven ability to distinguish authoritative guidance from reference material and operational   pre cede nt, and to enforce standards that ensure trust, traceability, and safe reuse.
• Experience implementing or enforcing   knowledge   lifecycle discipline (draft, review, approval, publish,   maintain, archive), including governance checkpoints and quality gates.
• Demonstrated judgment in preparing knowledge for AI‑enabled and automated reuse, including context completeness, authority tiering, lineage, and eligibility controls.
• Demonstrated understanding of how knowledge graphs, semantic relationships, and vectorized knowledge assets enable scalable discovery, reasoning, and   AI ‑ enabled   reuse of enterprise knowledge, including the role of relationships, metadata, and embeddings in supporting search, retrieval, and safe application of authoritative HR knowledge.
• Experience partnering effectively with HR domain leaders, product management, digital teams, and analytics or data teams to deliver knowledge capabilities embedded in workflows and experiences.
• Strong communication   and change leadership skills, with the ability to drive adoption, influence without authority, and enable distributed ownership across domains.
• Experience supporting or integrating AI‑enabled search, conversational interfaces, or decision support tools that consume governed enterprise knowledge.
• Familiarity with content‑as‑a‑service models, structured knowledge, decision logic, or semantic/ontology‑based approaches to knowledge reuse.

Benefits