Director, AI Data Engineering Tech Lead

· Establish and maintain CI/CD pipelines, automated testing, and deployment standards that ensure reliable, frequent releases

· Define quality standards including test coverage targets, release readiness criteria, and production monitoring

· Leverage observability tools to gain insights into system behavior and proactively address issues

· Champion DevSecOps practices: embed security controls and compliance checks into development workflows

· Build and mentor a high-performing team of AI data engineers

· Set technical direction, career paths, and coaching routines; foster a culture of ownership, learning, and engineering excellence

· Coach direct reports to adopt best practices, improve technical skills, and achieve professional growth

· Lead contractor and vendor support to extend capabilities and maximize delivery efficiency

• Drive engineering maturity through design docs, architecture decision records (ADRs), code reviews, and continuous learning (labs, guilds, demos)

This role covers a broad spectrum of skills and we encourage you to apply even if you meet partially.

· Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or related field

· 10+ years in data engineering, data science, or related technical fields

· 5+ years leading technical teams with people management responsibilities

· Strong hands-on experience building and shipping AI ready data products end-to-end

· Proficiency in SQL, Python with practical experience in Snowflake

· Experience with cloud platforms (AWS or Azure), containerization (Docker/Kubernetes), and CI/CD (GitHub Actions)

· Experience with AI ready data enablement frameworks and practical implementations, Semantics management and Enterprise data catalogues (Collibra)

· Experience with Enterprise data quality management and observability solutions

· Experience with complex data sources including anonymized patient data (EMR/Claims)

· Strong English communication skills (written and verbal); ability to work across global time zones

· Advanced degree (MS/PhD) in Computer Science, Data Engineering, or Data Science

· Experience with full-stack web development (React, Vue; HTML, Tailwind CSS, Bootstrap)

· Experience with data science platforms (Dataiku DSS, SageMaker) and BI/visualization tools (Tableau, Power BI, Streamlit)

· Experience in regulated/compliance-aware environments (GxP, HIPAA, SOC2)

· Background in product management or product-led engineering teams

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.