Director Solution Engineering Lead

Role Responsibilities
Technical Strategy & Alignment
- 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.

Team Leadership & Development
- 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.

Solution Design & Delivery
- 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.

Quality Assurance & Performance
- 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.

Stakeholder Collaboration & Communication
- Act 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.

Documentation & Knowledge Management
- Develop and maintain design documentation (diagrams, data flows, technical specifications).
- Create reusable solution templates and reference architectures.
- Contribute to internal knowledge bases and communities of practice.

Vendor & Partner Engagement
- Assess/manage relationships with external vendors, cloud providers, and implementation partners.
- Lead technical due diligence and integration planning for third-party AI solutions.
- Ensure vendor solutions align with internal architecture and compliance standards.

Basic 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 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.
- Hybrid role: onsite 2 to 3 days per week.
- Ability to travel based on business needs.
- NOT eligible for Relocation Package.