Sr Manager, Analytics Operations Transition Services

Bristol Myers Squibb

Competitive salary; annual bonus included; pension...
**
8+ years deploying ml models in production
Strong python pyspark sql programming skills
Experience with aws azure google cloud platforms
** Bristol Myers Squibb is seeking a Senior Manager of Analytics Operations Transition Services to oversee the transition of analytics and AI products from project mode to operational mode, ensuring operational readiness and cross-functional collaboration. The ideal candidate will possess extensive experience in machine learning and application management, with strong leadership and organizational skills. The position offers competitive benefits and a supportive work environment focused on innovation and employee development. **

Job Summary

  • This role is accountable for establishing a repeatable process to move Analytics & AI solutions from project mode to operations mode with clear entry and exit criteria.
  • The position requires coordinating cross-functional handoffs between development, product, security, and support teams to ensure operational readiness before go-live.
  • Employees will enjoy competitive benefits including an annual bonus, pension contribution, family health insurance, and 27 days of annual leave.

Matching Summary

Match Score: 75

** Bristol Myers Squibb is seeking a Senior Manager of Analytics Operations Transition Services to oversee the transition of analytics and AI products from project mode to operational mode, ensuring operational readiness and cross-functional collaboration. The ideal candidate will possess extensive experience in machine learning and application management, with strong leadership and organizational skills. The position offers competitive benefits and a supportive work environment focused on innovation and employee development. **

Salary

Competitive salary; Annual bonus included; Pension contribution and family health insurance

Skills & Requirements

Must-have

  • 8+ years deploying ML models in production
  • Strong Python PySpark SQL programming skills
  • Experience with AWS Azure Google Cloud platforms
  • Expertise in Docker Kubernetes containerization
  • Knowledge of CI/CD tools Jenkins GitLab
  • Proficiency in monitoring tools CloudWatch Grafana

Nice-to-have

  • Strong problem-solving in fast-paced environments
  • Excellent communication across all levels
  • Sophisticated analytical thought capabilities
  • Ability to establish strong team reputation
  • Experience with LLM lifecycle management

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 8+ years experience in application and ML model deployment
  • Direct management of a cross-functional team

Work Rights

Not specified

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