Associate Director, Data Context Enablement

Johnson & Johnson Innovative Medicine•Hopewell Township, NJ

1d•$137,000 - $235,750•Hybrid

About The Position

Johnson & Johnson Innovative Medicine is seeking a strategic and forward-looking data leader for the role of Associate Director, Data Context Enablement within the Data organization. This role will define, scale, and operationalize the enterprise AI Context Layer as a core data capability across therapeutic areas and business functions. The leader will transform enterprise data, business knowledge, semantic definitions, master data, metadata, data quality rules, and organizational intelligence into reusable, governed data context that powers AI applications, copilots, agentic workflows, analytics, and enterprise solutions. The AI Context Layer will serve as the intelligence bridge between enterprise data platforms, semantic models, master data, data quality, business processes, and AI solutions—enabling AI systems to understand business entities, relationships, metrics, and objectives in a consistent, trusted, governed, and explainable way. This role will establish the data strategy, governance framework, operating model, and reusable context products required to accelerate AI, CRM, field reporting, analytics, marketing, forecasting, and future enterprise data and AI capabilities.

Requirements

10+ years of experience in data management, AI, analytics, semantic technologies, knowledge management, data platforms, enterprise architecture, or related technology areas.
Undergraduate degree or equivalent experience in Computer Science, Data Science, Information Systems, Engineering, Business, Analytics, Health Sciences, or a related field; master’s degree preferred.
Strong understanding of data platforms, semantic layers, data governance, metadata management, and enterprise data lifecycle management.
Knowledge of Generative AI, Large Language Models, retrieval-augmented generation, agentic AI, semantic modeling, metadata management, and AI governance.
Experience implementing AI governance, data governance, metadata governance, or semantic governance frameworks.
Experience leading complex cross-functional data, analytics, platform, or AI initiatives and building reusable enterprise data or AI capabilities.
Proven ability to partner with senior leaders, business stakeholders, technology teams, and external vendors.
Strong communication, problem-solving, relationship-building, and program management skills, with the ability to translate complex AI and data topics into clear business value.
Familiarity with data privacy, compliance, information security, and responsible AI considerations in a regulated industry.
Experience in pharmaceutical, healthcare, or life sciences domains.

Nice To Haves

Generative AI, Agentic AI, AI Context Engineering, AI Governance, and Responsible AI
Semantic modeling, ontology management, knowledge graphs, knowledge management, metadata management, and enterprise knowledge assets
AI platform enablement, retrieval-augmented generation, vector databases, graph technologies, and semantic intelligence
Product management, program management, strategic leadership, executive stakeholder management, business alignment, and change management
Healthcare and life sciences data ecosystems, commercial data strategy, Customer 360 solutions, and regulated enterprise environments
Advanced Analytics
Budget Management
Compliance Management
Critical Thinking
Cross-Functional Collaboration
Data Analysis
Data Privacy Standards
Data Quality
Data Reporting
Data Savvy
Data Science
Data Visualization
Developing Others
Digital Fluency
Inclusive Leadership
Leadership
Strategic Thinking
Team Management

Responsibilities

Lead the Data Context Layer strategy, roadmap, and operating model across therapeutic areas as a foundational capability of the Data organization.
Define and scale reusable data context products, services, semantic models, knowledge assets, and standards that accelerate GenAI, agentic workflows, analytics, CRM, field reporting, forecasting, and decision support.
Partner with business and technology teams to identify high-value AI use cases and ensure consistent use of approved definitions, governed metrics, and trusted sources.
Operationalize data context services within enterprise Data and AI platforms, ensuring alignment with data architecture, governance, metadata, and quality standards.
Establish context governance processes, quality measures, lifecycle standards, and responsible AI controls to manage semantic drift, outdated knowledge and inconsistent definitions.
Evaluate emerging AI, semantic, knowledge management, and external data capabilities that advance enterprise data and AI strategy.
Ensure the role advances the Data organization’s mission to deliver trusted, connected, reusable, and AI-ready data capabilities for enterprise decision-making.
Serve as the primary point of contact for AI Context Layer strategy, capabilities, adoption, delivery, and issue resolution.
Communicate progress, risks, adoption opportunities, and business value to senior leaders, while tracking reuse, quality, explainability, delivery speed, and adoption outcomes.
Monitor key performance indicators (KPIs) for adoption and ROI, and coordinate with business, platform, and product teams.
Coordinating AI Governance activities across AI use cases: managing end-to-end coordination of ensuring stakeholder engagement throughout the process and escalating to appropriate channels where needed

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