Manager, Data and Analytics Engineer, Enabling Functions, AI and Data Analytics

Pfizer; Tampa (FL); On-site; USD 96,000 - 161,000; Full time

Job summary

A leading company in the pharmaceutical industry is seeking a Manager, Data and Analytics Engineer to drive digital analytics solutions and support various functions. This role involves designing data infrastructure and ensuring data quality, requiring strong technical skills and experience with cloud platforms and data management tools.

Benefits

Relocation assistance may be available

Bonuses and benefits included

Qualifications

• 5+ years experience with a Bachelor's degree, or 3+ years with a Master's.
• Strong SQL skills and experience with data pipelines.
• Proficiency in Python, Java, R, or Scala.

Responsibilities

• Design and maintain scalable cloud-native data pipelines.
• Collaborate with stakeholders to understand data requirements.
• Ensure data quality and compliance with regulations.

Skills

SQL

Data Quality

Data Modeling

Communication

Collaboration

Education

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

Master’s degree

Ph.D.

Tools

Visier

Snowflake

AWS

Azure

Google Cloud

Tableau

Power BI

Job description

Manager, Data and Analytics Engineer, Enabling Functions, AI and Data Analytics

Location

United States - Pennsylvania - Collegeville, India - Chennai, Greece - Thessaloniki, United States - Florida - Tampa, North America - Any Pfizer Site

Job Type

Full-time

Posted

Yesterday

Requisition ID

4935428

Why Patients Need You

Pfizer’s commitment to creating breakthroughs that change patients’ lives is deeply embedded in our culture as a science-driven and patient-focused company. Central to this commitment is our use of digital technologies, AI, data, and analytics, which drive innovation across our organization.

What You Will Achieve

The Manager, Data and Analytics Engineer, Enabling Functions, AI and Data Analytics (AIDA) will be responsible for executing technical strategies and developing digital analytics solutions to support colleagues across Finance, People Experience, Legal, Compliance, and other Enabling Functions.

They will be part of an agile team designing, developing, and maintaining our data infrastructure and Visier People Analytics platform, ensuring data quality and modeling using tools such as Snowflake, Visier, Python, Airflow, and dbt.

Role Responsibilities

1. Design, develop, and maintain scalable cloud-native data pipelines and ETL/ELT processes.
2. Collaborate with data scientists, solution architects, analysts, and stakeholders to understand data requirements and deliver solutions.
3. Manage Visier security design, including user accounts, roles, and permissions, ensuring appropriate access control.
4. Conduct platform and security audits, document SOPs, and ensure compliance.
5. Lead issue resolution with support teams, investigate data pipeline issues, and coordinate remediation.
6. Implement data quality checks and monitoring for data accuracy and reliability.
7. Optimize data storage and retrieval for performance and efficiency.
8. Manage and process large datasets using cloud-based platforms and tools.
9. Ensure data security and compliance with regulations.
10. Troubleshoot data issues and support end-users.
11. Create and maintain technical documentation.

Basic Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field with 5+ years of experience, or a Master’s degree with 3+ years, or an Associate's with 8+ years, or a Ph.D. with minimal experience, or 10 years of relevant experience with a high school diploma.
• Experience with Visier People Analytics platform, data pipelines, and security management.
• Strong SQL skills and experience with relational/non-relational databases (Snowflake, Redshift, PostgreSQL).
• Proficiency in Python, Java, R, or Scala.
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Knowledge of data quality, data modeling, and security best practices.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience with DevSecOps, CI/CD, and automated testing.
• Knowledge of DataOps, version control, and monitoring.
• Familiarity with microservices, Spark, Hadoop, Airflow, and open-source tools.
• Experience with data visualization (Tableau, Power BI).
• Understanding of machine learning and data science concepts.

Additional Information

• Location options include various US sites and internationally, with some positions on-site.
• Salary ranges from $96,300 to $160,500, with bonuses and benefits.
• Relocation assistance may be available.
• Compliance with Pfizer’s Log In for Your Day requirements.
• Pfizer is an equal opportunity employer, compliant with E-Verify, and requires work authorization in the US.

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