Digital – Manager, Data and Analytics Engineer

Overview

Use Your Power for Purpose

At Pfizer, our purpose—
Breakthroughs that change patients’ lives
—drives every decision we make. Digital & Technology accelerates this mission by turning data into insights that power smarter science, stronger operations, and an exceptional colleague experience. Within this organization, the Enabling Functions Creation Center (EFCC) supports HR, Finance, Global Business Services, and Legal with the digital capabilities they need to operate effectively and unlock value.

As a hands‑on Manager - Data & Analytics Engineer
, you will lead and build innovative data solutions that strengthen our enterprise data foundation, empower our enabling function partners, and help unleash the power of our people—ultimately supporting the breakthroughs that matter most to patients.

• As a hands-on engineer, you will build scalable data pipelines to provide accurate and impactful business analytics and insights
• Design and implementation of data architecture and infrastructure
• Lead the development of data management strategies and policies
• Manage a team of project data engineers and analysts, providing guidance and mentorship
• Ensure data quality and integrity across all data platforms
• Collaborate with cross-functional teams to align data initiatives with business goals
• Develop and maintain data governance frameworks
• Oversee the integration of new data technologies and tools
• Ensure compliance with data privacy regulations and standards
• Drive the optimization of data processing workflows and pipelines
• Lead the development of analytics solutions to support business decision-making
• Manage relationships with external data vendors and partners
• Oversee the creation and maintenance of data documentation and metadata
• Develop and monitor key performance indicators for data initiatives
• Ensure the scalability and performance of data systems

• Candidates should possess a BA/BS with at least 4 years of experience, an MBA/MS with at least 2 years of experience, a PhD/JD with any years of experience, an associate's degree with at least 8 years of experience, or a high school diploma (or equivalent) with at least 10 years of relevant experience
• Data Architecture Design:
  Designing and structuring modern databases and modern data systems:
  Expert
• Data Warehousing:
  Building and managing data warehouses (Preferably Snowflake):
  Expert
• SQL:
  Advanced querying and database management:
  Expert
• Data pipelines / ETL Processes:
  Designing and managing modern ETL processes and data engineering pipelines:
  Expert
• Data Integration:
  Combining and transforming data from different sources:
  Expert
• Cloud Platforms (e.g., AWS, Azure, Google Cloud):
  Managing data infrastructure on cloud platforms:
  Advanced
• Big Data Technologies (e.g., Snow Flake, Data Bricks, Spark):
  Handling and processing large datasets:
  Advanced
• Data Modeling:
  Creating data models to support analytics:
  Advanced
• Visual Analytics and Business Intelligence Tools:
  Using BI tools to derive insights from data:
  Advanced
• Data Governance:
  Implementing policies and procedures for data management:
  Advanced
• Data Visualization Tools (e.g., Tableau, Power BI):
  Creating visual representations of data and data story telling:
  Advanced
• Programming Languages (e.g., Python, R):
  Writing code for data manipulation and analysis:
  Expert
• Data Security:
  Implementing security measures to protect data:
  Intermediate
• Data Quality Management:
  Ensuring accuracy and consistency of data:
  Advanced
• Statistical Analysis:
  Applying statistical methods to analyze data:
  Intermediate
• Leadership:
  Guiding and motivating a team to achieve goals:
  Expert
• Strategic Thinking:
  Planning and executing long-term data strategies:
  Expert
• Communication:
  Clearly conveying complex data concepts to stakeholders:
  Advanced
• Problem Solving:
  Identifying and resolving data-related issues:
  Advanced
• Collaboration:
  
  Working effectively with cross-functional teams:
  Advanced
• Hands on experience with vibe coding and Generative AI based data pipeline and analytics solutions development to increase efficiency, reduce overall delivery cost and reduce time to market

• Machine Learning:
  Applying machine learning…