Manager, Semantic Intelligence

Johnson & Johnson Innovative Medicine•Hopewell Township, NJ

4d•$117,000 - $201,250•Hybrid

About The Position

We are searching for the best talent for Manager, Semantic Intelligence to be 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. Learn more at https://www.jnj.com/innovative-medicine. Purpose: 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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.

Benefits

medical
dental
vision
life insurance
short- and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
long-term incentive program
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours