Manager, Data Engineer – AI and Automation

Pfizer; New York (NY); Hybrid; USD 96,000 - 161,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer specializing in AI and Automation. This role involves leading innovative projects that enhance efficiency in data analytics and supply chain solutions. Collaborate with diverse teams to design and implement cutting-edge data products while leveraging advanced AI technologies. With a competitive salary and hybrid work environment, this position offers a unique opportunity to contribute to impactful healthcare solutions. If you're passionate about technology and eager to make a difference in patients' lives, this is the perfect role for you.

Benefits

Comprehensive benefits

Relocation assistance

Long-term incentives

Qualifications

• 4+ years in Data Engineering, Architecture, or Warehousing.
• Experience with AI, ML, and LLM development.
• Proven success in AI solutions in healthcare preferred.

Responsibilities

• Lead data modeling and engineering efforts for digital outcomes.
• Design and implement Cloud Data Lake and Data Warehouse.
• Develop AI models for data analytics and supply chain.

Skills

Python

SQL

AI/ML Development

Data Engineering

Data Architecture

Data Warehousing

Education

Bachelor’s or Master’s in Computer Science

AI, ML, or related field

Tools

Apache Airflow

Docker

Kubernetes

AWS

Azure

GCP

Redshift

BigQuery

Snowflake

NiFi

Job description

Manager, Data Engineer – AI and Automation

Pay: Competitive

Location: New York/New York

Employment type: Full-Time

Job Description

• Req#: 4933177

Role Summary

Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is central to fulfilling Pfizer’s mission as we translate advanced science and technologies into vital therapies and vaccines. Whether in discovery sciences, drug safety, efficacy, or clinical trials, we apply cutting-edge design and process development to accelerate the delivery of best-in-class medicines worldwide.

We are seeking a highly skilled AI Engineer to join our advanced technology team. The successful candidate will develop, implement, and optimize AI models and algorithms to innovate and improve efficiency in Data Analytics and Supply Chain solutions. This role requires collaboration, a passion for technology, and a commitment to enhancing patient outcomes.

Role Responsibilities

• Lead data modeling and engineering efforts within advanced data platform teams to achieve digital outcomes.
• Provide guidance and co-lead/moderately complex projects.
• Oversee development and execution of test plans, scripts, and data validation processes.
• Design and implement Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.
• Develop complex data products for PGS, ensuring reusability enterprise-wide.
• Collaborate with contractors on technical enhancements.
• Automate systems for building, testing, monitoring, and deploying ETL data pipelines within CI environments.
• Analyze data with backend teams to improve quality and consistency.
• Design, develop, and deploy AI models for data analytics and supply chain initiatives.
• Stay updated on AI advancements and apply them to Pfizer projects.
• Guide team members and stakeholders on AI initiatives.
• Document and present methodologies and outcomes.
• Collaborate across technical teams for implementation and delivery.
• Handle large, complex datasets, including cleaning, preprocessing, and feature selection.

Basic Qualifications

• Bachelor’s or Master’s in Computer Science, AI, ML, or related field.
• Over 4 years in Data Engineering, Data Architecture, or Data Warehousing.
• Over 2 years in AI, ML, and LLM development and deployment.
• Proven success in implementing AI solutions in healthcare/pharma preferred.
• Strong understanding of data structures, algorithms, and software design.
• Proficiency in Python, SQL, and familiarity with Java or Scala.
• Knowledge of AI-driven tools like Apache Airflow or Prefect; ability to use GenAI or Agents for data engineering.

Preferred Qualifications

• Experience with data warehousing solutions like Redshift, BigQuery, Snowflake.
• Knowledge of ETL tools such as NiFi, Talend, Informatica.
• Familiarity with Hadoop, Spark, Kafka.
• Experience with cloud platforms (AWS, Azure, GCP).
• Understanding of Docker and Kubernetes.
• Skills in data integration from various sources.
• Data modeling and database design, including graph technologies.
• Handling structured and unstructured data.
• Knowledge of data governance, quality, and stewardship.

Additional Information

Occasional travel may be required. Hybrid work location.

Salary range: $96,300 - $160,500, plus bonus, long-term incentives, and comprehensive benefits.

Relocation assistance may be available.

Legal & Compliance

Pfizer complies with transparency laws and employment regulations, including the Sunshine Act and E-Verify requirements.

About Pfizer

At Pfizer, collaboration and innovation drive our success. Join us to be part of the future of medicine.