Manager, Semantic Intelligence

Location: Titusville, New Jersey, United States of America · Job Function: Data Analytics & Computational Sciences · Job Sub Function: Data Science · Job Category: Scientific/Technology

About the role

Johnson & Johnson Innovative Medicine Technology is seeking a Manager, Semantic Intelligence to lead the development of Semantic Intelligence within the J&J Innovative Medicine Technology team on the data platform and partner closely with the Global Commercial Strategy Organization (GCSO), business stakeholders, product teams, and technology teams. This is a technical leadership role responsible for translating complex business and data requirements into scalable platform solutions. Operating through a forward-deployed engineering model, the successful candidate will work directly with stakeholders and engineering teams to design, build, deploy, and support production-grade data and AI capabilities.

Responsibilities

• Partner with the Global Commercial Strategy Organization (GCSO) and other stakeholders to understand complex business and technical needs and translate them into scalable data and AI solutions.
• Lead the technical design, development, deployment, and ongoing enhancement of Semantic Intelligence capabilities on the data platform.
• Apply a forward-deployed engineering approach by working directly with users, product teams, architects, and engineers from problem definition through production adoption.
• Design and deliver reusable data products and platform capabilities that improve enterprise data accessibility, interoperability, and AI readiness.
• Provide technical leadership across cloud computing, data engineering, data infrastructure, APIs, metadata, semantic technologies, and AI-enabled applications.
• Collaborate with engineering, architecture, data science, product management, security, privacy, and governance teams to deliver secure, reliable, and scalable solutions.
• Establish and promote engineering standards for architecture, software development, testing, deployment, observability, documentation, and production support.
• Evaluate emerging data and AI technologies and recommend practical approaches aligned with enterprise architecture, security, privacy, compliance, and responsible AI requirements.
• Manage technical priorities, delivery plans, dependencies, risks, and stakeholder expectations across multiple initiatives.
• Mentor technical team members, oversee delivery partners, and contribute reusable engineering practices across the Johnson & Johnson Data and AI community.

Qualifications

• Ph.D. with 2+ years of relevant industry experience, or M.S. with 5+ years of relevant industry experience, in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Information Systems, Computational Informatics, Engineering, or a related technical discipline.
• Significant experience designing, developing, and deploying enterprise-scale data products, cloud platforms, data infrastructure, analytics solutions, or AI-enabled applications in production environments.
• Experience with semantic modeling, enterprise metadata, knowledge graphs, graph data models, or comparable approaches that connect enterprise data with business context.
• Strong understanding of modern AI architectures, including large language models, retrieval-augmented generation, vector retrieval, semantic search, AI agents, orchestration frameworks, evaluation, monitoring, and responsible AI controls across cloud and open-source ecosystems.
• Experience in a forward-deployed engineering, solutions engineering, product engineering, or technology consulting role involving direct collaboration with end users.
• Experience delivering enterprise data platforms, semantic layers, AI-enabled data products, or knowledge management solutions at scale.
• Experience integrating AI capabilities into enterprise products, applications, and workflows using cloud-agnostic and open-source technologies.
• Strong experience with modern cloud and data platforms, including Snowflake, Amazon Web Services (AWS), Dat