Senior Director, Global Commercial Data Platforms & AI Engineering
Johnson & Johnson
August 25, 2026
On-site
Raritan, NJ
IT
Purpose:
Senior Director, Global Commercial Data Platforms & AI Engineering defines and leads J&J Innovative Medicine’s global commercial data platform/ecosystem strategy to enable the customer engagement platform, advance AI-readiness for agentic solutions, and power decision-making.
Responsibilities:
- Define/execute long-term global commercial data platform strategy: architecture, data products, democratization, quality, interoperability, scalable delivery; evolve to modern cloud/self-service analytics.
- Build/scale AI engineering capabilities for machine learning, generative AI, and agentic AI; create reusable frameworks, accelerators, model deployment standards, and platform services.
- Lead platform engineering teams (architecture, integration, orchestration, cloud, MLOps/AIOps, production deployment) ensuring secure, compliant enterprise-scale delivery.
- Partner with Commercial Strategy, Medical Affairs, Global Marketing, Regional Teams, Digital Product, Technology Services, and Data Science to drive measurable business impact.
- Lead and develop data/AI engineering talent; foster innovation, excellence, accountability, and continuous improvement.
- Other duties: represent GCDAI in enterprise councils; advise on AI governance/data architecture; drive vendor/strategic partnerships; evaluate emerging technologies and lead pilots.
Qualifications:
- Required education: advanced degree (MS, PhD, PharmD, MD, MBA, or equivalent) in a quantitative field.
- Required experience: 12+ years in data/analytics/AI, software engineering, platforms, or technology leadership.
- Required skills: enterprise data architecture & cloud platforms; enterprise AI/ML deployment; generative/LLMs/agentic AI; leadership scaling data/ML/AI engineering orgs; translate business strategy to tech roadmaps; governance, privacy, security, responsible AI; lead cross-functional initiatives; influence senior executives; financial/portfolio management; strong communication and stakeholder leadership.
- Preferred: pharma/health/life sciences experience; commercial function support (launch/forecasting/omnichannel/market access/patient analytics/customer engagement); Snowflake/Databricks/Azure/AWS; operationalizing AI for many users/domains; Engagement.ai familiarity; enterprise data products and operating models; AI-enabled transformation.
Required Skills:
- Common Data Model (CDM), Semantic Modeling, Snowflake.
Preferred Skills:
- Advanced Analytics, Budget Management, Business Alignment, Compliance/Data Privacy, Data Quality/Reporting/Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Strategic Thinking.
Senior Director, Global Commercial Data Platforms & AI Engineering defines and leads J&J Innovative Medicine’s global commercial data platform/ecosystem strategy to enable the customer engagement platform, advance AI-readiness for agentic solutions, and power decision-making.
Responsibilities:
- Define/execute long-term global commercial data platform strategy: architecture, data products, democratization, quality, interoperability, scalable delivery; evolve to modern cloud/self-service analytics.
- Build/scale AI engineering capabilities for machine learning, generative AI, and agentic AI; create reusable frameworks, accelerators, model deployment standards, and platform services.
- Lead platform engineering teams (architecture, integration, orchestration, cloud, MLOps/AIOps, production deployment) ensuring secure, compliant enterprise-scale delivery.
- Partner with Commercial Strategy, Medical Affairs, Global Marketing, Regional Teams, Digital Product, Technology Services, and Data Science to drive measurable business impact.
- Lead and develop data/AI engineering talent; foster innovation, excellence, accountability, and continuous improvement.
- Other duties: represent GCDAI in enterprise councils; advise on AI governance/data architecture; drive vendor/strategic partnerships; evaluate emerging technologies and lead pilots.
Qualifications:
- Required education: advanced degree (MS, PhD, PharmD, MD, MBA, or equivalent) in a quantitative field.
- Required experience: 12+ years in data/analytics/AI, software engineering, platforms, or technology leadership.
- Required skills: enterprise data architecture & cloud platforms; enterprise AI/ML deployment; generative/LLMs/agentic AI; leadership scaling data/ML/AI engineering orgs; translate business strategy to tech roadmaps; governance, privacy, security, responsible AI; lead cross-functional initiatives; influence senior executives; financial/portfolio management; strong communication and stakeholder leadership.
- Preferred: pharma/health/life sciences experience; commercial function support (launch/forecasting/omnichannel/market access/patient analytics/customer engagement); Snowflake/Databricks/Azure/AWS; operationalizing AI for many users/domains; Engagement.ai familiarity; enterprise data products and operating models; AI-enabled transformation.
Required Skills:
- Common Data Model (CDM), Semantic Modeling, Snowflake.
Preferred Skills:
- Advanced Analytics, Budget Management, Business Alignment, Compliance/Data Privacy, Data Quality/Reporting/Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Strategic Thinking.