Senior Director, AIDA R&D Advanced AI & Data Ecosystem Engineering
Senior Director, AIDA R&D Advanced AI & Data Ecosystem Engineering
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$ 204700 - 341100
1 Vacancy
Job Description
Pfizers commitment to creating breakthroughs that change patients lives is deeply embedded in our culture as a science-driven and patient-focused company. Central to this commitment is our use of digital technologies AI data and analytics which drive innovation across our organization.
We are seeking a dynamic and technically accomplished Senior Director of Platform Engineering to lead the engineering function for our AI Data and Analytics platform supporting pharmaceutical R&D. This role is critical to building and scaling the foundational infrastructure that powers advanced analytics machine learning and data science across the R&D organization.
As a senior leader you will be responsible for the architecture development and operational excellence of the platform enabling scientific teams to accelerate discovery and development through data-driven innovation. You will lead a team of engineers and collaborate closely with product data science and Digital partners to deliver secure scalable and high-performance solutions.
Key Responsibilities
Engineering Leadership
- Ownership of strategy & frameworks from ideation through support and run
- Lead the design development and delivery of core platform components including:
- Scalable compute and storage infrastructure for AI/ML workloads
- Data pipelines and orchestration frameworks
- Model training deployment and monitoring systems
- APIs and SDKs for platform access and integration
- Drive engineering best practices including CI/CD infrastructure as code observability and automated testing
Team Management
- Build and lead a high-performing team of software engineers MLOps engineers and DevSecOps specialists.
- Foster a culture of technical excellence innovation and accountability.
- Mentor and grow engineering talent through coaching feedback and career development.
- Promote cross-functional collaboration with product data science and IT teams to ensure alignment and shared ownership.
- Optimize team structure and workflows using agile practices and metrics-driven processes.
- Inspire and guide the team through evolving priorities emerging technologies and scientific complexity.
Collaboration & Execution
- Partner with platform product management to translate user needs into technical solutions.
- Work closely with data scientists bioinformaticians and Digital to ensure platform usability and adoption.
- Ensure platform compliance with regulatory and security standards (e.g. GxP HIPAA FAIR data principles).
Strategic Impact
- Contribute to the overall platform strategy and roadmap in partnership with the Head of R&D AI Data & Analytics Platforms.
- Evaluate and adopt emerging technologies to future-proof the platform.
- Optimize for performance cost-efficiency and scalability across global R&D use cases.
Innovation and Talent Development
- Foster a culture of innovation experimentation and continuous improvement in platform engineering and practices.
- Attract mentor and grow engineering talent with a passion for enabling science through technology.
Platform operations & Support
- Ensure high availability reliability and performance of platform services across global R&D teams.
- Define and track key operational metrics (e.g. uptime latency throughput cost efficiency) to drive continuous improvement.
- Establish and manage robust monitoring alerting and incident response processes.
- Oversee L4 engineering support for critical platform issues collaborating with IT and vendor partners as needed.
- Implement and maintain operational runbooks SLAs and documentation to support scalable platform operations.
- Drive root cause analysis and post-incident reviews to improve system resilience and reduce operational risk.
Qualifications
Education and Experience:
- Bachelors or Masters degree in Computer Science Engineering or a related technical field or equivalent work experience. Advanced degree preferred.
- 12 years of experience in software/platform engineering with 5 years in a leadership role.
- Proven track record of building and operating large-scale data and ML platforms in a scientific or regulated environment.
- Experience in pharma biotech or healthcare is highly desirable.
- Proven success working in matrixed organizations and building trusted partnerships with science data and product teams.
- Exposure to domains such as multi-omics real-world data or clinical informatics.
- Experience in the life sciences or pharmaceutical industry particularly in R&D or translational research.
- Familiarity with GxP HIPAA and regulatory requirements related to R&D data.
- Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers develop and coach others oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
Technical Expertise:
- Deep knowledge of cloud-native technologies (AWS Azure or GCP) containerization (Docker Kubernetes) and infrastructure automation.
- Proficiency with data engineering tools (e.g. Spark Airflow Kafka) and MLOps frameworks (e.g. MLflow Kubeflow SageMaker).
- Strong understanding of data security access control and compliance in life sciences.
- Demonstrated experience building data and AI platforms at scale in a complex regulated or research-heavy environment.
- Deep experience with modern DevOps/MLOps tools and processes.
Leadership & Communication:
- Strong cross-functional collaboration and stakeholder management skills.
- Ability to communicate complex technical concepts to non-technical audiences.
Other Job Details
- Last day to apply: July 7 2025
- Work Location Assignment:Hybrid
Work Location Assignment:Hybrid
Relocation assistance may be available based on business needs and/or eligibility.
Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care providers name address and the type of payments or other value received generally for public disclosure. Subject to further legal review and statutory or regulatory clarification which Pfizer intends to pursue reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse your name address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter please do not hesitate to contact your Talent Acquisition representative.
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race color religion sex sexual orientation age gender identity or gender expression national origin disability or veteran status. Pfizer also complies with all applicable national state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
Required Experience:
Exec
Employment Type
Full-Time
