Senior Manager, AI and Data Analytics
Bristol Myers Squibb · Princeton, NJ · 4 days ago
$196k–$229k/yrFull-time
About the role
Bristol Myers Squibb is seeking a Senior Manager, AI and Data Analytics to join our team in Princeton, NJ. This role serves as the technical lead across Enabling Functions (Finance, Procurement, Audit) stakeholders to architect and design, and develop analytical and data solutions.
Responsibilities
- Serve as the technical lead across Enabling Functions (Finance, Procurement, Audit) stakeholders to architect and design, and develop analytical and data solutions.
- Develop Artificial Intelligence solutions for the Enabling functions business use cases.
- Design and deliver the Enabling Functions Data and Analytics Solutions across domains, and coordinate with business users and internal data stakeholders for technical decisions and options.
- Support daily operation and future enhancements of Enterprise Data Lake domains focused on Finance, procurement, and Audit.
- Develop technology platform strategy, support releases and make technical recommendations across the data ecosystem.
- Architect and develop data solutions according to legal and company guidelines.
Requirements
- A Bachelor’s degree or foreign equivalent degree in Engineering, Computer Engineering, or a related field.
- Six (6) years of post-bachelor, progressive, related work experience as a Database Architect or related occupation.
- Experience with technical design and development with Python or AWS technologies.
- Utilizing data lake technologies such as Cloudera Data Platform or Snowflake.
- Artificial Intelligence tools.
- Working in AWS Redshift/S3/RDS, Native AWS Services, and Database design.
- Understanding Domino or data lake principles.
- Developing and adhering to data management governance procedures.
- Assessing system performance and recommending improvements.
Benefits
- Annual discretionary bonus.
- Healthcare coverage.
- Leave benefits.
- Retirement benefits.
Pay
$196,215.00 - $228,850.00
Schedule
Telecommuting permitted on a hybrid schedule as determined by the employer.