Job Function:
Data Analytics & Computational Sciences

Job Sub Function:
Data Science

Job Category:
People Leader

All Job Posting Locations:
Raritan, New Jersey, United States of America

Job Description:

We are searching for the best talent for Sr. Director, Global Commercial Data Platforms & AI Engineering to be in Raritan, 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:

The Senior Director, Global Commercial Data Platforms & AI Engineering is responsible for defining and leading the J&J Innovative Medicine global commercial data platform and ecosystem strategy that enables our global customer engagement platform, advances the AI-readiness of our data to support our expanding portfolio of agentic solutions, and powers decision-making across Johnson & Johnson Innovative Medicine.

This leader will provide the vision and lead Global operations to continuously advance the J&J Innovative Medicine commercial data environment across commercial data platforms, AI infrastructure and semantics, agentic AI capabilities, and reusable data products while ensuring alignment with regional operations, enterprise architecture, governance, privacy, and regulatory requirements. The role serves as a critical bridge between business strategy, business operations, data engineering, AI engineering, product teams, and technology organizations to ensure the delivery of secure, reusable, and scalable AI-ready data and solutions that accelerate business value.

This individual will report directly to the VP, Global Commercial Data Platforms and AI Products within the Global Commercial Data and AI organization.

You will be responsible for:

Enterprise Commercial Data Platform Strategy. Define and execute the long-term strategy for global commercial data platforms, including data architecture, data products, data democratization, data quality, interoperability, and scalable delivery of commercial insights. Lead evolution toward modern cloud-based architectures supporting self-service analytics and AI.

AI Engineering & Product Enablement. Build and scale AI engineering capabilities that operationalize machine learning, generative AI, and agentic AI solutions across Innovative Medicine. Establish reusable frameworks, accelerators, model deployment standards, and platform services that enable rapid development and scaling of AI products.

Technology Leadership & Platform Delivery. Lead engineering teams responsible for platform architecture, data integration, orchestration, cloud infrastructure, MLOps, AIOps, and production deployment. Ensure reliable, secure, and compliant delivery of enterprise-scale solutions.

Business Partnership & Innovation. Partner closely with Commercial Strategy, Medical Affairs, Global Marketing, Regional Teams, Digital Product organizations, Technology Services, and Data Science leaders to identify opportunities where data, AI, and automation can drive measurable business impact and competitive advantage.

People Leadership & Capability Building. Build and develop a high-performing organization of data engineers, AI engineers, architects, and technical leaders. Foster a culture of innovation, technical excellence, accountability, learning, and continuous improvement.

Other Duties

• Represent GCDAI in enterprise AI, data, and technology councils.
• Serve as a senior advisor on AI governance, platform strategy, and data architecture decisions.
• Drive external partnerships with key technology vendors, platform providers, and strategic partners.
• Evaluate emerging technologies and lead pilot programs to assess strategic relevance and enterprise applicability.

Qualifications / Requirements:

Required Minimum Education

Advanced degree (MS, PhD, PharmD, MD, MBA, or equivalent) in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, Information Systems, or a related quantitative discipline.

Required Years of Related Experience

12+ years of experience in data, analytics, AI, software engineering, platforms, or technology leadership.

Required Knowledge, Skills and Abilities

• Deep expertise in enterprise data architecture, cloud platforms, data engineering, and modern analytics ecosystems.
• Significant experience designing and deploying AI/ML solutions at enterprise scale.
• Demonstrated expertise with generative AI, large language models, agentic AI systems, and AI product development.
• Proven leadership experience building and scaling data engineering, machine learning engineering, or AI engineering organizations.
• Ability to translate business strategy into technology capabilities and platform roadmaps.
• Strong understanding of data governance, privacy, security, and responsible AI practices.
• Experience leading large, cross-functional initiatives involving business, technology, and analytics stakeholders.
• Proven ability to influence senior executives in a complex matrixed organization.
• Strong financial and portfolio management skills.
• Excellent communication, storytelling, stakeholder management, and organizational leadership capabilities.
• Demonstrated success delivering measurable business value through data and AI investments.
• Experience developing reusable enterprise capabilities that accelerate innovation across multiple business functions.

Preferred Qualifications

• Pharmaceutical, biotechnology, healthcare, or life sciences industry experience.
• Experience supporting commercial functions including launch planning, portfolio strategy, omnichannel engagement, forecasting, market access, patient analytics, or customer engagement.
• Experience with enterprise data ecosystems such as Snowflake, Databricks, Azure, AWS, or equivalent cloud environments.
• Experience operationalizing AI platforms that support hundreds of users and multiple business domains.
• Familiarity with Engagement.ai and related commercial AI products.
• Experience establishing enterprise-scale data products and platform operating models.
• Experience leading transformation initiatives involving AI-enabled operating models and commercial innovation.

#JNJDataScience #JNJIM-CommercialDS #LI-Hybrid

Required Skills:
Common Data Model (CDM), Semantic Modeling, Snowflake (Platform)

Preferred Skills:
Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking

The anticipated base pay range for this position is :
The anticipated base pay range for this position is $196,000 and $342,700 USD

Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 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 Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits