Director Solution Engineering Lead
Pfizer
June 25, 2026
Remote friendly (Pennsylvania, United States)
United States
Sales
Responsibilities:
- 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 meeting 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.
- Monitor system performance and implement improvements for scalability and efficiency.
- Partner with QA teams to validate solutions against business and technical requirements.
- Serve as the primary technical liaison between engineering teams and business stakeholders.
- Communicate technical concepts clearly to non-technical audiences.
- Prepare teams for demos, rollouts, and adoption reviews.
- Develop and maintain comprehensive design documentation and reusable templates/reference architectures.
- Assess and manage relationships with external vendors, cloud providers, and implementation partners; lead technical due diligence for third-party AI solutions.
Qualifications:
- Bachelor’s degree in Computer Science/Engineering or related field with 8+ years of relevant experience.
- Deep technical expertise and proven organization-wide technical leadership.
- Proven experience designing/deploying AI solutions in healthcare or other regulated industries.
- Deep understanding of cloud platforms (Azure/AWS/GCP), microservices, APIs, and data engineering.
- Familiarity with AI/ML frameworks (TensorFlow, PyTorch), MLOps, and model lifecycle management.
- Excellent communication, stakeholder management, and analytical skills.
Application instructions:
- Last date to apply: May 1st, 2026.
Other job details:
- Ability to travel based on business needs.
- NOT eligible for relocation package.
- Hybrid; onsite 2–3 days/week.
- Base salary range: $176,600–$294,300; bonus target 20% of base salary; benefits include 401(k) with matching contributions and additional retirement savings contribution, paid time off, caregiver/parental and medical leave, and health coverage.
- 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 meeting 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.
- Monitor system performance and implement improvements for scalability and efficiency.
- Partner with QA teams to validate solutions against business and technical requirements.
- Serve as the primary technical liaison between engineering teams and business stakeholders.
- Communicate technical concepts clearly to non-technical audiences.
- Prepare teams for demos, rollouts, and adoption reviews.
- Develop and maintain comprehensive design documentation and reusable templates/reference architectures.
- Assess and manage relationships with external vendors, cloud providers, and implementation partners; lead technical due diligence for third-party AI solutions.
Qualifications:
- Bachelor’s degree in Computer Science/Engineering or related field with 8+ years of relevant experience.
- Deep technical expertise and proven organization-wide technical leadership.
- Proven experience designing/deploying AI solutions in healthcare or other regulated industries.
- Deep understanding of cloud platforms (Azure/AWS/GCP), microservices, APIs, and data engineering.
- Familiarity with AI/ML frameworks (TensorFlow, PyTorch), MLOps, and model lifecycle management.
- Excellent communication, stakeholder management, and analytical skills.
Application instructions:
- Last date to apply: May 1st, 2026.
Other job details:
- Ability to travel based on business needs.
- NOT eligible for relocation package.
- Hybrid; onsite 2–3 days/week.
- Base salary range: $176,600–$294,300; bonus target 20% of base salary; benefits include 401(k) with matching contributions and additional retirement savings contribution, paid time off, caregiver/parental and medical leave, and health coverage.