Senior Manager, Knowledge Systems

Role Overview

• 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.

Requirements

• 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.

Tech Stack

• AWS
• Azure
• Cloud
• Docker
• Grafana
• Jenkins
• Kubernetes
• PySpark
• Python
• PyTorch
• Scikit-Learn
• SQL
• Tensorflow

Benefits

• 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 nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.