Johnson & Johnson is seeking to embed data-driven decision making in their business processes across the enterprise, requiring the development of new data infrastructure and platforms, capabilities in advanced analytics, and an innovative approach to decision making.
Requirements
- Proficient in end-to-end production deployment, from concept to production-grade models, and experienced with Gen AI technologies like AWS Bedrock, Azure OpenAI service, and Joule
- Experience with large-scale transformation and process change efforts
- Expertise in continuous process improvement techniques and methods
- Innovative mindset with the ability to translate business needs into technology solutions
- Skilled at developing strong relationships with executive leadership team members
- Ability to break down, understand, and solve very complex problems to enable high level leadership to understand / make decisions
- Ability to translate complex, technical information into understandable and explainable business solutions to senior leaders
Responsibilities
- Provide visionary leadership to a diverse and talented global team of Data Scientists, Data Engineers, and Machine Learning Engineers
- Shape the strategic direction and drive the execution of compelling data science and AI initiatives to advance J&J’s Global Finance function
- Oversee the complete lifecycle of data science projects, from inception through design, development, and deployment, to adoption in real-world applications
- Lead the advancement of sophisticated predictive modeling and analytics capabilities aimed at enhancing the accuracy of financial forecasting
- Establish robust metrics and reporting frameworks to assess the performance and impact of data science initiatives
- Foster a data-driven decision-making culture, enabling stakeholders to leverage insights derived from robust analytics in their strategic planning
- Ensure that the team builds and maintains world-class data pipelines, business intelligence and analytics solutions
Other
- A minimum of a Bachelor's degree is required
- 10+ years of Data Science/AI experience in an industry setting, preferably in a Finance and/or Healthcare and/or pharmaceutical setting
- Minimum of 7 years of experience leading teams
- Ability to work in ambiguous situations
- A team player and able to work collaboratively with/through others
- Strong communication skills, promoting inclusion, and building trusting relationships with business partners across all levels of the organization
