Sr. Director, Cloud and Infrastructure Transformation

Pfizer Pfizer · Pharma · New York, NY

Senior Director to lead transformational cloud and infrastructure initiatives, focusing on building next-generation cloud platforms for AI/ML-powered research. The role involves leading a technical team, driving multi-cloud and data center initiatives, and making architectural decisions to enable scientific research and drug discovery in a regulated environment.

What you'd actually do

  1. Lead enterprise cloud and infrastructure transformation, including AI/ML platforms, data center migration, and network transformation
  2. Drive multi‑cloud, data center, and network initiatives with strong execution
  3. Make high‑impact architectural and technology decisions
  4. Provide senior technical leadership and shape infrastructure strategy
  5. Lead and develop senior leaders and high‑performing teams

Skills

Required

  • 12+ years in infrastructure, cloud, and networking with proven track record of delivering complex, multi-year transformation programs
  • Deep multi-cloud expertise (AWS, Azure, GCP) with hands-on experience building production platforms at scale
  • Comprehensive understanding of the full stack from on-premises data centers to cloud-native architectures
  • Demonstrated success managing and developing senior technical leaders (Senior Managers, Directors)
  • Extensive experience leading through influence in matrixed organizations, working across technical and business stakeholders
  • Strong technical judgment shaped by real-world experience delivering at scale
  • Expertise in modern cloud-native architectures, IaC (Terraform/OpenTofu), DevOps practices, automation, and security/compliance in regulated industries
  • Excellent communicator with the ability to translate technical complexity for diverse audiences and drive alignment
  • Proven ability to deliver results while managing multiple complex initiatives simultaneously
  • Pragmatic decision-maker who balances ideal solutions with practical constraints

Nice to have

  • AI/ML infrastructure experience, especially supporting research and data science workloads
  • Background in pharma, biotech, or highly regulated industries
  • Cloud certifications demonstrating depth of expertise
  • Experience with large-scale migrations, datacenter exits, or M&A integrations
  • Global team management across time zones and cultures

What the JD emphasized

  • AI/ML platforms
  • production platforms at scale
  • regulated industries

Other signals

  • AI/ML platforms
  • production platforms at scale
  • cloud-native architectures
  • regulated industries