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Senior Associate, Data Engineer - AI and Automation - Job Opportunity at Pfizer

New York, United States
Full-time
Senior
Posted: March 24, 2025
Hybrid
USD 80,300 - 133,900 per year

Benefits

Competitive 401(k) with company matching and additional retirement contributions
Comprehensive medical, dental and vision coverage
Generous paid time off including vacation, holidays and personal days
Paid caregiver and parental leave
Medical leave benefits
Flexible hybrid work arrangement
Potential relocation assistance
10% annual bonus target through Global Performance Plan

Key Responsibilities

Design and implement enterprise-scale Cloud Data Lake, Data Warehouse and API architectures
Lead development of AI models and algorithms for supply chain optimization
Architect automated ETL pipelines within continuous integration environments
Drive data quality and governance initiatives across technical teams
Provide technical leadership on AI implementations and best practices
Develop reusable data products for global supply chain operations
Lead root cause analysis for production data issues
Guide stakeholders and team members on AI strategy and implementation

Requirements

Education

Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or related discipline

Experience

3+ years as Data Engineer/Architect plus 1+ year AI/ML experience

Required Skills

Python SQL Java/Scala Hadoop Spark Kafka Cloud platforms (AWS/Azure/GCP) ETL tools Docker Kubernetes AI/ML Large Language Models Data modeling API development
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Sauge AI Market Intelligence

Industry Trends

Pharmaceutical companies are increasingly leveraging AI for drug discovery and supply chain optimization, creating high demand for engineers with both data and AI expertise The convergence of traditional data engineering with AI/ML capabilities represents an emerging specialty that commands premium compensation Cloud-native architectures and containerization are becoming standard requirements as pharma companies modernize their tech stacks There's growing emphasis on data governance and compliance due to increasing regulatory scrutiny in pharma

Salary Evaluation

The offered range of $80,300-133,900 is slightly below market for similar roles in NYC, where comparable positions typically range from $110,000-160,000, especially given the AI specialization

Role Significance

Likely part of a 5-8 person specialized data engineering team within a larger technology organization
Senior individual contributor role with technical leadership responsibilities and significant influence on AI/ML strategy

Key Projects

Enterprise data platform modernization AI-driven supply chain optimization systems Automated data pipeline development Cross-functional data integration initiatives Machine learning model deployment and scaling

Success Factors

Deep understanding of pharmaceutical industry data compliance requirements Ability to bridge traditional data engineering with modern AI/ML practices Strong collaboration skills across technical and business teams Experience with large-scale data transformation projects Proven track record in production AI implementations

Market Demand

Very high demand, particularly in pharmaceutical sector where AI/ML expertise combined with data engineering is increasingly critical for digital transformation initiatives

Important Skills

Critical Skills

AI/ML expertise - essential for developing next-generation pharmaceutical solutions Data engineering fundamentals - core to building robust data infrastructure Cloud platform proficiency - crucial for scalable implementations ETL automation - key for operational efficiency

Beneficial Skills

Healthcare domain knowledge Regulatory compliance experience Graph database expertise GenAI experience Change management skills

Unique Aspects

Rare combination of enterprise data engineering with dedicated AI focus
Opportunity to impact healthcare outcomes through technology
Exposure to cutting-edge pharmaceutical research applications
Balance of technical depth with business impact

Career Growth

Typical progression to lead or management role within 2-3 years, given Pfizer's scale and growth in AI initiatives

Potential Next Roles

Lead Data Engineer Data Architecture Manager AI Engineering Manager Technical Product Manager - AI/ML Principal Engineer

Company Overview

Pfizer

Pfizer is a global pharmaceutical leader with significant investment in digital transformation and AI capabilities

Top-tier pharmaceutical company with robust R&D focus and significant technology investment capacity
Major presence in NYC with significant technology operations and strategic importance
Professional corporate environment with emphasis on innovation and work-life balance, reflected in hybrid work policy
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