IT Business Integration Manager

About the position

The IT Business Integration Manager at Johnson & Johnson is responsible for bridging the gap between business functions and IT to enhance the development of business-critical tools and platforms. This role focuses on strategic oversight of high-priority business/IT projects, ensuring alignment of IT initiatives with business objectives, and fostering collaboration between Therapeutics Discovery and IT teams to improve operational efficiency and accelerate project timelines.

Responsibilities

• Act as a liaison between business units and IT to ensure clear communication and understanding of needs and capabilities.
• Work with business leaders to identify priorities and seek and maintain alignment of IT initiatives with business goals.
• Monitor business-relevant IT projects and offer strategic guidance and oversight.
• In partnership with IT, evaluate the timely delivery and impact of IT projects and adjust projects as necessary.
• Oversee indirect team members within a matrix organizational structure.
• Partner with colleagues in IT to guide business functions through the adoption of new technologies.
• Foster a culture of partnership and mutual respect between teams.

Requirements

• Bachelor's degree in computer science or a related field with experience in life sciences is required.
• Minimum of 8 years of professional experience following the completion of a degree.
• Professional experience in the biotech/pharmaceutical sector.
• Sound understanding of data/software engineering concepts, particularly in database and software lifecycle management.
• Proficiency in IT architecture and understanding of how different IT components support business objectives.
• Solid knowledge of non-functional requirements of software systems.
• Strong communication and interpersonal skills.
• Strategic thinking and problem-solving skills.
• Ability to work independently in a fast-paced environment.

Nice-to-haves

• Track record in project management.
• Experience working in a matrix environment and leading cross-functional teams.
• Strong knowledge of at least one scientific programming language, e.g., python or R.
• Working knowledge of HPC, cloud-based and GPU-accelerated compute platforms.
• Solid understanding of MLOps and DevOps concepts.
• Experience with data analytics platforms such as Spotfire.
• Familiarity with cheminformatics toolkits such as rkdit, computational chemistry software (e.g., MOE, Schroedinger, OpenEye), workflow tools such as KNIME, and ML workflow management tools.

Benefits

• Diversity, equity & inclusion programs
• Health insurance
• Professional development opportunities
• Flexible scheduling options