Sr. Manager, Analytics Operations

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

The Global Product Development and Supply (GPS) Analytics & AI Enablement (A&AIE) is part of the Business Insights and Technology (BIT) and focuses on enabling analytics and AI capabilities for GPS stakeholders. The GPS organization at Bristol Myers Squibb supports drug development from discovery through commercialization and distribution to patients. Their scope includes portfolio strategy, manufacturing and distribution, network strategy, brand analytics, drug substance, drug product, and analytical development for small molecules, biologics, and cell therapy assets.

Job Description

As an Analytics Operations - Senior Manager at BMS, you will play a pivotal role in implementing, and managing our Analytics Assets Life Cycle. You will lead efforts to deploy, monitor, and automate analytics assets in production, ensuring their reliability, scalability, and performance. You will work closely with data scientists, software engineers, and IT teams to streamline the end-to-end model lifecycle.

Key Responsibilities

• Ensure that analytics assets (data models, ML, AI, and DI) are reliably and efficiently deployed and maintained in production.
• Set up continuous integration pipelines to automate the testing, validation, and deployment of analytics assets.
• Implement automated monitoring and alerting systems to ensure that any disruptions or anomalies in the analytics assets are promptly addressed.
• Collaborate with data engineers and scientists to understand data and model requirements and ensure seamless integration into production systems.
• Troubleshoot and resolve complex issues related to deployment, performance, and scalability.
• Develop governance policies for data management, model development, and analytics deployment. Scale best practices across the organization to ensure consistency and efficiency
• Implement robust security measures to protect data assets. Participate in decision making and brings a variety of strong views and perspective to achieve team objectives. ​
• Demonstrate a focus on improving processes, structures and knowledge within the team. Lead in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion.​
• Stay up-to-date with the latest trends and advancements in MLOps and machine learning technologies..

Qualifications & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 5+  years of experience in deploying and managing models in production environments.
• Lead initiatives related to continuous improvement or implementation of MLOps.
• Works independently. Responsible for the direct management of a cross functional team including results/outcomes
• Strong understanding of machine learning principles and model lifecycle management.
• Strong programming skills in languages such as Python, PySpark, SQL, Bash/PowerShell
• Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in cloud platforms (e.g., AWS is preferrable, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Expertise in CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI) and version control systems (e.g., Git).
• In-depth knowledge of monitoring and logging tools (e.g., CloudWatch, Grafana, ELK stack).
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Excellent communication skills and the ability to articulate and present complex information clearly and concisely across all levels.
• Ability to demonstrate in-depth knowledge and expertise thereby establishing a strong reputation for themselves and the team.​

Demonstrates sophisticated analytical thought using various data sources and internal/external environment. Understands the broader implications of actions and perspective

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.