Manager, Data Specialist

Pfizer

Hybrid

Quick summary

Work type: Hybrid
Location: NYCollegeville, PA
Salary: $99,200–$165,400 / yr
Posted: 6 days ago
Closes: Jun 26, 2026
Nearby: 80 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $176k

This role $132k

$86k most similar roles pay here $225k

This role pays less than 78% of similar roles. Most pay $139,500–$211,743 — the shaded band above. At the midpoint, this role pays about $132k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

About Pfizer

Pfizer Inc. is one of the world''s largest biopharmaceutical companies, researching, developing, manufacturing, and marketing medicines and vaccines across multiple therapeutic areas including oncology, cardiology, and infectious diseases. Industry: Biopharmaceuticals

Pfizer currently has 32 open roles on FindRole.

Listed pay typically runs $124,400–$207,400 across 32 roles with salary data.

Most-posted roles

View all roles at Pfizer

At a glance

TL;DR · Manager, Data Specialist

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The Manager, Data Specialist role within Pfizer’s AI Acceleration function requires a professional who can bridge the gap between commercial business stakeholders and data engineering teams to deliver production-grade AI solutions. This individual will translate complex analytical and AI/ML requirements into actionable specifications, ensuring high-quality, governed data products that drive insights and decision-making across Commercial operations. Key responsibilities include engaging with various departments like Brand, Sales Operations, and Market Access to define data needs, facilitating sessions between business users and engineering teams, authoring detailed data product specifications, managing the data engineering backlog, and championing data quality standards. The ideal candidate has experience in a data-focused role within pharmaceutical or life sciences industries, familiarity with commercial pharma data sources like IQVIA and Veeva CRM, and proficiency in SQL, data warehousing architectures, and Agile/Scrum tools such as Jira.

Skills

SQL Snowflake Databricks Redshift Jira Confluence Agile Scrum ETL ELT Python AWS Kubernetes CI/CD Data Governance IQVIA Veeva CRM PostgreSQL

What you'll do

Engage with commercial business stakeholders to elicit and document data requirements.
Decompose high-level business needs into structured data engineering work items.
Facilitate working sessions between business users and engineering teams for alignment.
Author detailed data product specifications including source-to-target mappings and field definitions.
Validate delivered data products against requirements through user acceptance testing.

What we're looking for

At least 4 years of experience in a data-focused role.
Bachelor's degree or equivalent work experience required.
Experience translating business requirements into technical specifications for data engineering teams.
Familiarity with pharmaceutical industry data sources and regulatory standards.
Proficiency in SQL, data warehousing/lakehouse architectures, and Agile/Scrum methodologies.
Strong communication skills to interface effectively with both technical and non-technical audiences.

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