Key skills
AWSAzureCloudGoogle Cloud PlatformMicroservicesPyTorchTensorflowAIMLTensorFlowMLOpsData EngineeringGCPGoogle CloudLeadershipStakeholder ManagementCommunication
About this role
Role Overview
- Define and maintain a clear technical roadmap aligned with Pfizer Digital standards and enterprise architecture
- Ensure engineering decisions support scalability, security, and compliance requirements
- Collaborate with product owners to translate business objectives into actionable technical plans
- Manage and mentor a team of engineers across full-stack, cloud, and UI disciplines
- Foster a culture of innovation, accountability, and continuous learning
- Oversee resource allocation and capacity planning to meet delivery timelines
- Lead the design and implementation of technical solutions that meet customer and product owner expectations
- Ensure adherence to best practices in coding, testing, and deployment
- Drive integration of solutions into existing workflows for seamless user experience
- Establish standards for code quality, testing, and validation to ensure reliable delivery
- Monitor system performance and implement improvements for scalability and efficiency
- Act as the primary technical liaison between engineering teams and business stakeholders
- Communicate technical concepts clearly to non-technical audiences
- Develop and maintain comprehensive design documentation, including diagrams, data flows, and technical specifications
- Assess and manage relationships with external technology vendors, cloud providers, and implementation partners
- Ensure vendor solutions align with internal architecture and compliance standards
Requirements
- Bachelor's degree required in Computer Science, Engineering, or related field
- 8+ years of relevant experience
- Deep technical expertise with a proven track record of organization-wide technical leadership
- Proven experience in designing and deploying AI solutions in healthcare or regulated industries
- Deep understanding of cloud platforms (e.g., Azure, AWS, GCP), microservices, APIs, and data engineering
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch), MLOps, and model lifecycle management
- Excellent communication, stakeholder management, and analytical skills
Tech Stack
- AWS
- Azure
- Cloud
- Google Cloud Platform
- Microservices
- PyTorch
- Tensorflow
Benefits
- 401(k) plan with Pfizer Matching Contributions
- Additional Pfizer Retirement Savings Contribution
- Paid vacation
- Holiday and personal days
- Paid caregiver/parental leave
- Paid medical leave
- Health benefits including medical, prescription drug, dental and vision coverage