Senior Manager: Knowledge Systems

Senior Manager: Knowledge Systems

New Brunswick - NJ - US

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.

At Bristol Myers Squibb, we are inspired by a single vision – transforming patients' lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

Position Summary

The Product Development and Supply (PDS) Analytics & AI Enablement (A&AIE) is part of the Business Insights and Technology (BIT) and focuses on enabling analytics and AI capabilities for PDS stakeholders. The PDS 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 Knowledge Systems - 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.

Why You Should Apply

Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

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.

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.

Compensation Overview:

Devens - MA - US: $148,480 - $179,920 New Brunswick - NJ - US: $134,980 - $163,564

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

• Health Coverage: Medical, pharmacy, dental, and vision care.

• Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).

• Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

​ Work-life benefits include:

Paid Time Off

• US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

• Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

*Eligibility Disclosure: T he summer hours program is for United States (U.S.) office-based employees due to the unique