Manager, Data Specialist

🕒 Yesterday

🏢🏡 New York City – Hybrid

💵 $99.2k - $165.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👔 Manager

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Pfizer

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1849

💰 Post-IPO Debt on 2023-05

We’re celebrating 175 years of daring scientific innovation—and we’re not done yet. Every day, we’re channeling our passion and resources into delivering innovative therapies that change the face of healthcare. Let’s outdo yesterday.

📋 Description

• The Manager, Data Specialist will serve as a critical bridge between business stakeholders and the data engineering team. • Responsible for deeply understanding commercial business processes, translating complex analytical and AI/ML requirements into actionable data engineering specifications. • Ensure delivery of high-quality, governed data products that power commercial insights and AI-driven decision-making. • Engage directly with commercial business stakeholders to elicit, clarify, and document data and analytics requirements. • Facilitate working sessions between business users and engineering teams to align on scope, timelines, and technical feasibility. • Author detailed data product specifications including source-to-target mappings, business rules, data dictionaries, and field-level definitions. • Validate delivered data products against requirements and coordinate user acceptance testing with business teams prior to production release. • Champion data quality by defining, monitoring, and communicating metrics that measure the reliability, completeness, and timeliness of commercial data assets. • Understand and support the data requirements of AI/ML and advanced analytics use cases, including model training datasets and inferencing pipelines.

🎯 Requirements

• Applicant must have a bachelor's degree with at least 4 years of experience; OR a master's degree with at least 2 years of experience; OR a PhD with 0+ years of experience; OR an associate's degree with 8 years of experience; OR a high school diploma (or equivalent) and 10 years of relevant experience. • Experience in a data-focused role such as business analyst, data analyst, data product manager, or comparable function within a data-intensive organization. • Demonstrated experience translating business requirements into technical specifications for data engineering or BI/analytics development teams. • Experience in the pharmaceutical, biotech, or life sciences industry, particularly within a commercial analytics or sales operations function. • Familiarity with commercial pharma data sources such as IQVIA (APLD, NPA, NSP), Symphony Health, Veeva CRM, patient claims data, or HCP/HCO affiliation data. • Working knowledge of relational data concepts, SQL, and data warehousing/lakehouse architectures (e.g., Snowflake, Databricks, Redshift). • Familiarity with data pipeline development concepts (ETL/ELT), data modeling, and data quality frameworks. • Experience working within an Agile/Scrum delivery model; proficiency with tools such as Jira, Confluence, or equivalent. • Strong written and verbal communication skills with the ability to interface effectively with both technical and non-technical audiences.

🏖️ Benefits

• 401(k) plan with Pfizer Matching Contributions • Pfizer Retirement Savings Contribution • Paid vacation • Holiday and personal days • Paid caregiver/parental and medical leave • Health benefits including medical, prescription drug, dental, and vision coverage