Digital – Manager, Data and Analytics Engineer

This job is with Pfizer, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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.
What You Will Achieve
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.

Basic Qualifications:

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 (Extract, Transform, Load) 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…