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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 Director, AI Products 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 Director, AI Products will be responsible for supporting the implementation, delivery, and scaling of strategic AI initiatives within J&J Innovative Medicine.
Reporting to the Vice President, Global Data Platforms and AI Products, within the Global Commercial Data and AI department, this individual will partner closely with business leaders and product teams leading AI Next Frontiers initiatives to translate prioritized AI opportunities into scalable solutions that improve business outcomes. The Director will work across multiple strategic initiatives to ensure that AI capabilities are effectively designed, developed, and deployed.
The role requires strong AI technical skills; the ability to connect business needs with data, analytics, and AI capabilities; and, partnership and execution excellence. You will be responsible for: Leading the implementation and enablement activities for a portfolio of prioritized AI initiatives.
Partner with business stakeholders to understand requirements, define use cases, and support solution design and deployment. Ensure AI solutions are aligned with business objectives and user needs.
Translate business questions and needs into data, analytics, and AI design requirements that will scale across teams and geographies. Support prioritization of enhancements and future capability roadmap and development.
Drive adoption of AI-enabled solutions through technical and business-centered leadership. Develop communication, training, and engagement plans that promote successful implementation.
Partner with business leaders to integrate AI capabilities into existing workflows and decision-making processes. Monitor user adoption and identify opportunities to improve utilization and effectiveness.
Partner closely across the Global Commercial Data and AI organization, with business teams throughout GCSO, and with functional partners in JJT, Healthcare Compliance, and Commercial teams. Promote awareness and understanding of AI capabilities across business stakeholders.
Support AI fluency initiatives and educational efforts. Qualifications / Requirements: Education Bachelor's degree required, advanced quantitative degree strongly preferred.
Experience Minimum of 7–10 years of experience in analytics, AI, digital transformation, consulting, commercial operations, product management, or related fields. Experience leading cross-functional projects in complex matrix organizations.
Demonstrated success implementing data, analytics, or AI solutions that achieved measurable business outcomes. Experience working directly with business stakeholders to define requirements and support technology adoption.
Preferred Experience Experience in the pharmaceutical, healthcare, or life sciences industry. Experience working with commercial functions such as commercial excellence, customer or omnichannel engagement, insights and analytics, or commercial operations.
Demonstrated success supporting implementation of Generative AI, machine learning, automation, or advanced analytics solutions. Technical Knowledge Demonstrated experience in the following areas: Generative AI, Large Language Models (LLMs), and emerging agentic AI architectures.
Design and deployment of AI-enabled business solutions, including Retrieval-Augmented Generation (RAG), enterprise knowledge retrieval, content generation, conversational AI, and workflow automation capabilities. Predictive analytics, machine learning, and advanced analytical techniques applied to business decision-making.
Data platforms, cloud-based analytics environments, and AI-enabled data products. Experience with enterprise AI and analytics platforms including Microsoft Copilot, Snowflake, Databricks, Dataiku, or similar technology ecosystems is preferred.
Modern data architecture concepts, including data products, semantic layers, metadata management, knowledge graphs, and scalable enterprise data foundations. Structured, unstructured, and multimodal data management required to support AI applications.
Ability to effectively translate between business leaders, product managers, data scientists, and technology organizations to accelerate delivery and adoption of scalable AI solutions. Leadership Characteristics Strong execution orientation Excellent collaboration and stakeholder management skills Ability to navigate ambiguity and competing priorities Strong communication and facilitation skills Customer-focused and impact-oriented mindset Curiosity and enthusiasm for emerging AI capabilities Continuous improvement mindset Johnson & Johnson
Originally posted by Johnson & Johnson. View original posting
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