✦ Luna Orbit — AI & Machine Learning

Senior Manager, Full Stack Engineering & Operations Regulatory BI&T

at Bristol-Myers Squibb

📍 2 Locations Hybrid 💰 $135K – $163K USD / year Posted March 13, 2026
Salary $135K – $163K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

This role involves leading the development and operation of AI-native regulatory platforms, ensuring they are secure, compliant, and scalable within a regulated biotech environment.

  • Own AI native platform build and operation
  • Develop technology roadmap
  • Define reference architectures
  • Evaluate emerging technologies
  • Influence vendor negotiations

Focuses on full-stack development, cloud infrastructure, AI product lifecycle, security, and regulatory compliance in a biotech/pharma setting.

The ideal candidate is a senior full-stack engineer with experience in AI-native regulatory platforms within a regulated biotech or pharma environment. They should possess strong technical leadership skills, familiarity with cloud platforms, and a strategic mindset for platform development and operational excellence.

Full Stack EngineeringAI-native productsRegulatory technologiesCloud platformsSecurityCompliance
AI product thinkingVendor negotiationsOperational ownershipData-driven intelligence
AWSAzureGoogle CloudSaaS platformsPaaS platformsIaaS platforms
Full Stack EngineeringAI-native productsRegulatory technologiesCloud platformsSaaSPaaSIaaSSecurityCompliance
Full Stack EngineeringAI-native productsRegulatory technologiesCloud platformsModel selectionAI product developmentSaaSPaaSIaaSVendorsArchitectureSecurityCompliance
LeadershipCollaborationStrategic thinkingProblem-solvingCommunication
Industry Pharmaceuticals & Biotech
Job Function AI platform development and operational leadership
Full Stack engineerAI-native productsRegulatory technologiesCloud platformsSaaSPaaSIaaSAI product developmentSecurityComplianceVendor negotiationsOperational ownershipFull Stack EngineeringData-driven intelligence

Lack of experience in regulated biotech/pharma environments, No cloud platform experience, Inability to lead technical initiatives

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