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Pfizer

Senior Manager - AI Data Solutions Engineering

Posted 9 Days Ago
Be an Early Applicant
Hybrid
Pylaía
Senior level
Hybrid
Pylaía
Senior level
Lead complex AI data engineering projects to design, build, and manage relational databases and AI-ready data products. Collaborate across digital teams to run POCs, embed algorithms into production applications, and ensure robust data modeling, metadata management, and transformation pipelines for pharmaceutical clinical and scientific data.
The summary above was generated by AI
Use Your Power for Purpose
At Pfizer, technology drives everything we do. Our digital and 'data first' strategy focuses on implementing innovative and impactful technology solutions across all functions, from research to manufacturing. Whether you are digitizing drug discovery and development, identifying innovative solutions, or streamlining our processes, you will be making a significant impact on countless lives.
What You Will Achieve
In this role, you will:
  • Develop and lead complex projects, managing plans to achieve objectives and ensuring successful outcomes.
  • Build and manage database management systems, utilizing technical expertise to design, develop, analyze, and install these systems.
  • Engage in database modeling and design, relational database architecture, metadata and repository creation, and configuration management.
  • Use knowledge of data mapping, data mining, and data transformation to design and develop robust databases, ensuring optimal data storage and requirements.
  • Collaborate with the Platform team and other Pfizer Digital teams to define and execute technology-focused Proof of Concepts (POCs) and guide business stakeholders through prioritization and identifying opportunities for synergy.
  • Design and build AI Ready data products, use AI data engineering methods and tools

Here Is What You Need (Minimum Requirements)
  • BA/BS or MBA/MS with 9+ years of relevant experience or PhD/JD with 3+ year of experience or MD/DVM with any years of experience
  • Proven knowledge in managing pharmaceutical clinical and scientific data
  • Demonstrated success in embedding algorithms in production applications
  • Experience in database modeling and design, relational database architecture, metadata and repository creation, and configuration management
  • Proficiency in data mapping, data mining, and data transformation

Bonus Points If You Have (Preferred Requirements)
  • Graduate degree in either a technical or management discipline
  • Management consultant experience
  • Strong analytical skills and tools to produce data in an organized way to drive objective insights
  • Ability to influence and collaborate with peers, develop and coach others

Work Location Assignment: Hybrid
This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.
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 .
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