Lead Data Science (AI / ML / Genai)

Johnson & Johnson is recruiting for a Lead, Data Science (ML / AI / GenAI), Raritan, NJ or near a Johnson & Johnson office in Switzerland (Zug), Belgium (Beerse / Brussels), or the United States. This position may require up to 20% travel.

Per our J&J Flex Policy, the expectation for this position is to work in the nearest Johnson and Johnson office 3-4 days per week and work from home 1-2 days per week.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/.

Enterprise Quality is a comprehensive organization within J&J that focuses on ensuring the highest standards of quality & compliance. It encompasses a Quality Operations division that handles Computer System Validation (CSV), QMS Management, and Commercial Quality Shared Services, including specialized support for Transportation Operations and Temperature Control. Additionally, it includes a Transformation Office dedicated to steering strategic imperatives and enhancing the Quality & Compliance organization's strategy through initiatives like Data Strategy, Automated Product Release, and Digitalization of Quality Management Systems. The group further comprises a Data & Digital Strategy function tasked with developing and executing a holistic digital and data strategy to improve quality and compliance, covering areas such as Data Foundations, AI/ML & IoT technologies, Quality & Compliance Innovation, and Digital Assets validation. To facilitate the deployment of these strategic initiatives, the group employs two Deployment Offices for the MedTech and Innovative Medicines segments and maintains a global presence through three regional leaders managing operations in Asia Pacific (ASPAC), Europe, Middle East, Africa (EMEA), and the Americas.

The Transformation Office ensures efficient, measurable, and value-driven execution of the Q&C strategy, transformation portfolio, annual business planning cycles, and operational support for the office of Enterprise Quality VP.

As part of the Transformation Office, the Data Science (AI / ML / GenAI) Lead plays a pivotal role in supporting the integration and operationalization of Data Science (AI / ML / GenAI) within the Q&C organization. Reporting to the Director of Emerging Technology, this individual is tasked with executing key initiatives, collaborating closely with data and analytics teams, and ensuring the effective deployment of technologies such as AI / ML / GenAI among others. The role demands a proactive approach to innovation, focusing on enhancing Q&C's digital transformation journey and aligning with strategic business objectives.

• Executes key initiatives for integrating and operationalizing emerging technologies such as AI/ML/GenAI within the Q&C organization.

• Collaborates closely with the Director, Emerging Technologies to align and deliver on Q&C's strategy for leveraging emerging technologies.

• Supports the deployment of new technologies to enhance automation, predictive analytics, and insight-generation across business processes.

• Given the nature of Q&C, there's a specific focus on Generative AI in the area of Regulations Monitoring and Controlled Content (Document & Training Management).

• Identifies innovative technology solutions to accelerate Q&C toward strategic business objectives.

• Assists in the management of technology projects, ensuring alignment with strategic goals, optimal resource allocation, and risk minimization.

• Provides technical expertise to infuse new technologies into ongoing transformation initiatives, increasing the transformational value proposition.

• Facilitates the integration of emerging technologies into Q&C processes, maintaining a focus on innovation and digital transformation.

• Collaborate with other staff within Transformation Office group to ensure each function is executed in an efficient manner

• Ensure timely reports of status and metrics as required by the Transformation Office organization