Senior Manager, Analytical Operations - AWS Infra Senior Manager at Bristol Myers Squibb

📍 Job Overview

Job Title: Senior Manager, Analytical Operations - AWS Infra Senior Manager
Company: Bristol Myers Squibb
Location: New Brunswick, NJ, United States; Seattle, WA, United States; Harvard, MA, United States
Job Type: Hybrid (2 office days per week)
Category: DevOps, Infrastructure, Management
Date Posted: 2025-08-01
Experience Level: 5-10 years

🚀 Role Summary

The Senior Manager, Analytical Operations - AWS Infra Senior Manager role at Bristol Myers Squibb (BMS) focuses on implementing and managing the analytics assets life cycle. This involves deploying, monitoring, and automating analytics assets in production, ensuring their reliability, scalability, and performance. The role requires strong knowledge of AWS services and experience in managing models in production environments.

💻 Primary Responsibilities

🌐 AWS Infrastructure Management

Manage and support AWS infrastructure, including EC2, S3, RDS, VPC, IAM, and other AWS services.
Troubleshoot and resolve issues related to AWS infrastructure, including network, storage, compute resources, vulnerabilities, and upgrades.

📈 Analytics Assets Deployment & Monitoring

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.

🤝 Cross-Functional Collaboration

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, scaling best practices across the organization.

🔐 Security & Compliance

Implement robust security measures to protect data assets.
Stay up-to-date with the latest trends and advancements in MLOps and machine learning technologies.

🎓 Skills & Qualifications

🎓 Education & 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.
Proven experience in leading initiatives related to continuous improvement or implementation of MLOps.

🛠 Required Skills

Strong knowledge of AWS services, including EC2, S3, RDS, VPC, IAM, and others.
Experience with infrastructure as code (IaC) tools such as Terraform or CloudFormation.
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 preferable, 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).

💡 Preferred Skills

Experience with data engineering and data science teams.
Familiarity with pharmaceutical industry-specific tools and processes.
Knowledge of regulatory compliance and data privacy standards in the pharmaceutical industry.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:
- Demonstrate experience in managing AWS infrastructure and deploying analytics assets in production.
- Showcase problem-solving skills and ability to resolve complex issues related to deployment, performance, and scalability.
- Highlight experience in collaborating with cross-functional teams and implementing governance policies.
Technical Documentation:
- Provide detailed documentation on AWS infrastructure management, including network, storage, and compute resource configuration.
- Demonstrate understanding of data and model requirements, and seamless integration into production systems.
- Showcase experience in implementing automated monitoring and alerting systems.

💵 Compensation & Benefits

💰 Salary Range

New Jersey: $133,710 - $162,000
Washington: $147,080 - $178,200
Plus incentive cash and stock opportunities (based on eligibility)

🏥 Benefits

Medical, pharmacy, dental, and vision care
Wellbeing support, including the BMS Living Life Better program and employee assistance programs (EAP)
Financial well-being resources and a 401(K)
Financial protection benefits, such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection, and survivor support
Work-life programs, including paid national holidays, optional holidays, Global Shutdown Days, up to 120 hours of paid vacation, up to two paid days to volunteer, sick time off, and summer hours flexibility
Parental, caregiver, bereavement, and military leave
Family care services, such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder, and pet care resources
Other perks, such as tuition reimbursement and a recognition program

🎯 Team & Company Context

🏢 Company Culture

Industry: Pharmaceuticals
Company Size: Large (over 10,000 employees)
Founded: 1887
Team Structure: The role is part of the Global Product Development and Supply (GPS) organization, focusing on enabling analytics and AI capabilities for GPS stakeholders. The team consists of data scientists, software engineers, and IT teams.
Development Methodology: The team follows Agile methodologies, including sprint planning, code review, testing, and quality assurance practices. Deployment strategies, CI/CD pipelines, and server management are also integral to the team's processes.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Manager, focusing on analytics operations and AWS infrastructure management.
Reporting Structure: The role reports directly to the Director of Analytics & AI Enablement within the Business Insights & Technology (BIT) organization.
Technical Impact: The role has a significant impact on the deployment, monitoring, and automation of analytics assets, ensuring their reliability, scalability, and performance. This directly influences data-driven decision-making and improves overall business performance.

🌐 Work Environment

Office Type: Hybrid, with 2 office days per week required.
Office Location(s): New Brunswick, NJ; Seattle, WA; Harvard, MA
Workspace Context:
- The role requires a collaborative workspace with access to AWS infrastructure management tools and analytics assets deployment platforms.
- Multiple monitors and testing devices are essential for effective performance monitoring and troubleshooting.
- Cross-functional collaboration with data engineers, data scientists, and IT teams is crucial for seamless integration and deployment of analytics assets.

📄 Application & Technical Interview Process

📝 Interview Process

Phone Screen: A brief call to discuss the role, qualifications, and expectations.
Technical Deep Dive: A detailed discussion of AWS infrastructure management, analytics assets deployment, and problem-solving skills.
Behavioral Assessment: An assessment of leadership, communication, and team collaboration skills.
Final Interview: A meeting with the hiring manager to discuss the role, team dynamics, and career growth opportunities.

📝 Portfolio Review Tips

Highlight experience in managing AWS infrastructure and deploying analytics assets in production.
Demonstrate problem-solving skills and ability to resolve complex issues related to deployment, performance, and scalability.
Showcase experience in collaborating with cross-functional teams and implementing governance policies.

💡 Technical Challenge Preparation

Brush up on AWS services, including EC2, S3, RDS, VPC, IAM, and other relevant services.
Familiarize yourself with infrastructure as code (IaC) tools such as Terraform or CloudFormation.
Prepare for questions on machine learning frameworks, libraries, and cloud platforms (e.g., AWS, Azure, Google Cloud).
Practice explaining complex technical concepts clearly and concisely.

🛠 Technology Stack & Web Infrastructure

🌐 AWS Services

Compute: EC2, Lambda, ECS, EKS
Storage: S3, RDS, DynamoDB, Redshift
Networking: VPC, Direct Connect, Route 53
Security & Identity: IAM, Cognito, Shield, WAF
Management & Governance: CloudFormation, CloudWatch, CloudTrail
Machine Learning & AI: SageMaker, DeepRacer, Amazon Textract

🛠 Infrastructure & Deployment Tools

Infrastructure as Code (IaC): Terraform, CloudFormation
Containerization: Docker, Kubernetes
CI/CD: Jenkins, GitLab CI, CircleCI
Monitoring & Logging: CloudWatch, Grafana, ELK stack
Version Control: Git
Cloud Platforms: AWS (preferred), Azure, Google Cloud

👥 Team Culture & Values

🌟 Web Development Values

User-Centric Focus: Prioritize user experience and data-driven decision-making.
Continuous Learning: Stay up-to-date with emerging technologies and industry trends.
Collaboration & Communication: Foster a culture of open communication and cross-functional teamwork.
Innovation & Creativity: Encourage experimentation and creative problem-solving.
Quality & Reliability: Maintain high standards for code quality, performance, and scalability.

🤝 Collaboration Style

Cross-Functional Integration: Collaborate with data engineers, data scientists, and IT teams to ensure seamless integration and deployment of analytics assets.
Code Review Culture: Encourage peer programming and code review practices to maintain high-quality standards.
Knowledge Sharing: Foster a culture of knowledge sharing, technical mentoring, and continuous learning.

⚡ Challenges & Growth Opportunities

🌐 Technical Challenges

AWS Infrastructure Management: Troubleshoot and resolve complex issues related to AWS infrastructure, including network, storage, compute resources, vulnerabilities, and upgrades.
Analytics Assets Deployment & Monitoring: Ensure the reliable and efficient deployment and maintenance of analytics assets in production, with automated monitoring and alerting systems in place.
Emerging Technologies: Stay current with the latest trends and advancements in MLOps and machine learning technologies.

📈 Learning & Development Opportunities

Web Technology Skill Development: Enhance proficiency in AWS services, infrastructure as code (IaC) tools, machine learning frameworks, and cloud platforms.
Conference Attendance & Certification: Attend industry conferences, obtain relevant certifications, and engage with community events to expand knowledge and network.
Technical Mentorship & Leadership: Develop technical leadership skills through mentoring, coaching, and architecture decision-making opportunities.

💡 Interview Preparation

💡 Technical Questions

AWS Infrastructure Management:
- Describe your experience with AWS services, including EC2, S3, RDS, VPC, and IAM.
- How have you troubleshot and resolved complex issues related to AWS infrastructure?
- Can you explain the process of managing and automating analytics assets in production using AWS services?
Analytics Assets Deployment & Monitoring:
- Walk us through your experience in deploying and maintaining analytics assets in production environments.
- How have you implemented automated monitoring and alerting systems to ensure the reliability and performance of analytics assets?
- Can you describe a challenging deployment issue you've faced and how you resolved it?
Emerging Technologies:
- How do you stay up-to-date with the latest trends and advancements in MLOps and machine learning technologies?
- Can you discuss a recent development in the field and how it might impact your approach to analytics asset deployment and management?

💡 Company & Culture Questions

Company Culture: How have you contributed to fostering a culture of collaboration, innovation, and continuous learning in your previous roles?
Team Dynamics: Describe your experience working in a cross-functional team environment, and how you've contributed to maintaining a positive and productive team culture.
User Experience Impact: How have you ensured that analytics assets and data-driven decision-making processes positively impact user experience and overall business performance?

💡 Portfolio Presentation Strategy

Live Demonstration: Prepare a live demonstration of your experience in managing AWS infrastructure, deploying analytics assets, and resolving complex technical issues.
Code Walkthrough: Be ready to explain your code and architecture decisions, highlighting your problem-solving skills and attention to detail.
User Experience Focus: Emphasize your understanding of user experience principles and how you've applied them to improve analytics asset deployment and data-driven decision-making processes.

📌 Application Steps

Submit Application: Apply through the provided application link.
Prepare Portfolio: Tailor your portfolio to highlight experience in managing AWS infrastructure, deploying analytics assets, and resolving complex technical issues.
Optimize Resume: Emphasize relevant skills and experiences, including AWS services, infrastructure as code (IaC) tools, machine learning frameworks, and cloud platforms.
Prepare for Technical Interview: Brush up on AWS services, infrastructure as code (IaC) tools, machine learning frameworks, and cloud platforms. Practice explaining complex technical concepts clearly and concisely.
Research Company & Role: Thoroughly research Bristol Myers Squibb, the Global Product Development and Supply (GPS) organization, and the specific role requirements to ensure a strong fit and informed interview preparation.