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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Semantic Intelligence - **Company:** Johnson & Johnson - **Location:** Hopewell Township, NJ, United States - **Experience:** Experienced - **Salary:** $117,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Automation of Tests, Cloud Computing, Cloud Engineering, Information Systems, Information Technology Consulting, Computer Literacy, Continuous Integration, Information Engineering, Data Infrastructure, Data Visualization, Distributed Systems, Graph Database, Information Retrieval, Interoperability, Python (Programming Language), Knowledge Management, Metadata, Open Source Technology, Search Technologies, Software Deployment, Software Engineering, SQL Databases, Enterprise Data Management, Data Ingestion, Retrieval-Augmented Generation, Large Language Models, Snowflake, Agentic-AI, Data Layers, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Data Management, Semantic Modeling, Software Version Control, Serverless Computing, Databricks - **Published:** October 4, 2026 - **Apply:** https://dejobs.org/x/x/42F37E67457B4B8386A1EF3CE9FE2B10/job/ ## About the Role * 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), Databricks, and related cloud-native services. * Demonstrated experience across the data product lifecycle, including data ingestion, transformation, storage, modeling, APIs, metadata, governance, data quality, orchestration, observability, security, and operational support. * Strong software engineering and technical delivery skills, including Python, SQL, distributed computing, source control, automated testing, CI/CD, containerization, and infrastructure automation. * Experience designing and deploying reusable platform services and data products with defined interfaces, ownership, quality controls, documentation, service-level expectations, and production support. * Demonstrated experience moving technical solutions from discovery and prototyping through architecture, engineering, production deployment, monitoring, and continuous improvement. * Experience leading multidisciplinary technical teams and working across product management, architecture, engineering, data science, cybersecurity, privacy, and governance functions. * Ability to diagnose complex technical and operational issues across application, data, integration, and infrastructure layers. * Strong communication and stakeholder management skills, with the ability to explain architecture, technical trade-offs, delivery risks, and solution outcomes to technical and non-technical audiences. * Demonstrated ability to manage competing priorities, operate effectively in ambiguous environments, and influence decisions across a matrixed organization. * Experience in pharmaceutical, healthcare, life sciences, commercial technology, or another regulated industry. * Experience managing internal engineers, external delivery teams, vendors, or consulting partners. * Familiarity with pharmaceutical commercial, medical, real-world evidence, clinical, or patient data and associated privacy and governance requirements., AI Agents, Artificial Intelligence (AI), Semantic Modeling Preferred Skills: Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis ## Description We are searching for the best talent for Manager, Semantic Intelligence to be in Titusville, NJ, 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. The role requires strong experience in enterprise data products, cloud computing, data infrastructure, software engineering, and modern AI technologies, together with the ability to lead cross-functional delivery in a complex and regulated enterprise environment. You will be responsible for: * Partnering 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. * Leading 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.