Director Solution Engineering Lead

Role Summary

The AI Acceleration (AIA) function within the Chief Marketing Office (CMO) is the business-led engine that designs, delivers, and scales priority AI capabilities across Commercial. It collaborates with Pfizer functions to deploy and maintain production-grade AI solutions that simplify work processes and drive measurable value. The Director Solution Engineering Lead serves as the technical backbone of the team, ensuring engineering resources align with Pfizer enterprise standards and strategies, and enabling scalable, secure, and compliant solutions that meet evolving customer and product owner needs.

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; collaborate with product owners to translate business objectives into actionable technical plans.
• Team Leadership & Development
  Manage and mentor a team 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 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 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 to ensure alignment and readiness.
• Documentation & Knowledge Management
  Develop and maintain comprehensive design documentation, diagrams, data flows, and technical specifications; create reusable templates and reference architectures; contribute to internal knowledge bases and communities of practice.
• Vendor & Partner Engagement
  Assess and manage relationships with external technology 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.

Qualifications

• Bachelor's degree required in Computer Science, Engineering, or related field with 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.

Education

• Bachelor's degree in Computer Science, Engineering, or related field (as listed in Qualifications).

Additional Requirements

• Travel ability based on business needs.
• Hybrid work arrangement requiring onsite presence 2 to 3 days per week.
• Not eligible for relocation package.