Director of AI Data Pipelines & Integration

Pfizer Belgium; Concord (NH); Hybrid; USD 177,000 - 294,000; Full time

Job summary

Pfizer is seeking an experienced Director-level Data Integration Engineer for Medical Affairs AI acceleration. You will own design, build, and operate data pipelines that connect AI-enabled solutions to enterprise data, ensuring governed, production-grade access while aligning with architecture standards.

This hands-on role collaborates across architecture, product management, and Build Engineers to deliver reliable data delivery and reuse across platforms.

Qualifications

• Bachelor's degree in Computer Science, Data Analytics or related field.
• 8+ years of hands-on data engineering or application integration experience, including building data pipelines and APIs that connect applications to existing data platforms.
• Advanced proficiency in SQL and hands-on experience building ETL/ELT pipelines.
• Experience consuming and integrating with modern data platform technologies (e.g., Snowflake, or equivalent), including querying, API-based access, and working within an existing data governance framework.
• Experience with API design and integration patterns (REST/GraphQL, event-driven or streaming integration) for connecting applications to backend data sources.
• Experience with data analytics automation and business process automation using AI, ML, low-code, or no-code tools.
• Experience supporting RAG pipelines, vector databases, or other AI/ML data access patterns.
• Solid understanding of Agile delivery and CI/CD practice.
• Experience identifying and protecting personal information (PI/PII) in data pipelines, including applying data masking, tokenization, or de-identification techniques before sensitive data reaches AI-accessible stores such as vector databases.
• Good knowledge of data governance and data cataloging best practices.
• Experience partnering with engineering, architecture, and business stakeholders in a matrixed delivery model.
• Excellent communication and stakeholder management skills.
• Familiarity with data privacy standards and pharma industry compliance practices (GDPR, HIPAA, GxP).
• Direct experience integrating with Veeva CRM, Salesforce Life Sciences/Marketing Cloud, or other Medical Affairs systems via API.
• Familiarity with GraphRAG patterns - using graph-structured data to organize retrieval context for LLMs - as a complement to standard vector-based RAG.

Responsibilities

• Design and build data pipelines and integration patterns connecting core enterprise systems to Medical Affairs' AI and analytics platforms and data sources.
• Build and maintain targeted data pipelines that extract, transform, and serve the specific data each AI solution needs, prioritizing reuse across solutions.
• Establish and follow data pipeline coding standards for solution-level integration work, aligning with the data models and cataloging practices maintained by the centralized data organization.
• Monitor and manage data pipeline latency, ensuring each AI solution receives data within the timeliness thresholds its use case requires.

Skills

SQL

ETL/ELT pipelines

API design

CI/CD

Data governance

PII masking

GraphRAG patterns

Agile delivery

Data privacy

Education

Bachelor's degree in Computer Science, Data Analytics or related field

Tools

Snowflake

Graph databases

Veeva/Salesforce Life Sciences APIs

Job description

Pfizer is seeking an experienced Director-level Data Integration Engineer for Medical Affairs AI acceleration. You will own design, build, and operate data pipelines that connect AI-enabled solutions to enterprise data, ensuring governed, production-grade access while aligning with architecture standards.

This hands-on role collaborates across architecture, product management, and Build Engineers to deliver reliable data delivery and reuse across platforms.