Senior Program Manager, R&d

Johnson & Johnson Johnson & Johnson · Pharma · Milpitas, CA +1

Senior Program Manager for Vision R&D programs at Johnson & Johnson, focusing on computer vision, imaging systems, and ML-based vision solutions. The role involves end-to-end leadership of global new product development, coordinating cross-functional teams, managing program execution, defining roadmaps, and ensuring compliance with quality, safety, and regulatory requirements in a regulated healthcare environment. Responsibilities include managing imaging hardware, optics, embedded software/firmware, and machine learning components, with a focus on data strategy, model training/validation, MLOps, and deployment.

What you'd actually do

  1. Lead complex, global Vision R&D programs from concept through commercialization, including imaging hardware, optics, embedded software/firmware, and machine learning components.
  2. Own program execution for vision-enabled products and features, ensuring alignment to business strategy, platform objectives, data governance, and quality/regulatory expectations.
  3. Define and manage roadmap, deliverables, success metrics and acceptance criteria specific to vision systems (e.g., accuracy, robustness, explainability, latency, power/thermal constraints on embedded platforms).
  4. Coordinate cross-functional design and integration activities across optics, sensor selection and characterization, data collection & annotation, model training/validation, MLOps, edge/cloud deployment, and clinical validation.
  5. Develop and maintain integrated project artifacts: Project charter, scope, technical and clinical acceptance criteria; Detailed schedules and stage-gate milestones (GNPP), with embedded ML/vision specific milestones (data readiness, annotation plan, model freeze, transfer to verification); Budget and resource forecasts, including external vendor and labeling partner plans; Risk, issue and dependency management plans (algorithm drift, dataset bias, hardware-software integration risks).

Skills

Required

  • Program Management
  • R&D Leadership
  • Cross-functional Team Leadership
  • Project Planning & Execution
  • Risk Management
  • Budget Management
  • Agile Methodologies
  • Stage-Gate Processes
  • Understanding of ML/AI concepts
  • Understanding of Computer Vision
  • Understanding of Imaging Systems
  • Regulatory Compliance (Healthcare)
  • Quality Management Systems

Nice to have

  • Experience with embedded systems
  • Experience with MLOps
  • Experience with edge deployment
  • Experience with cloud deployment
  • Experience with data annotation and collection
  • Experience with model training and validation

What the JD emphasized

  • rigorous quality, safety, and regulatory requirements
  • regulated healthcare environment
  • algorithm drift
  • dataset bias
  • hardware-software integration risks
  • algorithmic bias
  • data privacy
  • model performance under varied conditions
  • Design Control Regula

Other signals

  • computer vision
  • machine learning
  • MLOps
  • model training/validation
  • edge/cloud deployment