Pfizer · 7 hours ago
Digital – Manager, Data and Analytics Engineer
Tampa, FL
Full-time
Hybrid
Mid, Senior Level
$99K/yr - $160K/yr
4+ years expPfizer is a company dedicated to breakthroughs that change patients’ lives, and they are seeking a hands-on Manager - Data & Analytics Engineer to lead and build innovative data solutions. This role involves designing data architecture, managing a team, ensuring data quality, and collaborating with cross-functional teams to align data initiatives with business goals.
BiotechnologyHealth CareMedicalPharmaceuticalPrecision Medicine
No H1B
U.S. Citizen Only
Responsibilities
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
Qualification
Required
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., SnowFlake, 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
Preferred
People Analytics experience using SaaS tools such as Visier, One Model, Perceptyx, Workday Prism Analytics, Workday People Analytics, SAP Success Factors Workforce Analytics is a big plus. Familiarity with cloud/SaaS-based Human Capital Management (HCM) systems such as Workday is a big plus
Experience with Global HR data integration and prior experience with Mergers, Acquisitions, and Divestitures is a plus
Familiarity with EU Global Data Privacy Regulations (GDPR) and other related international regulations is nice to have. Prior experience with data architecture designs and data engineering development related to the GDPR and data privacy guiding principles such as data minimization, right to be forgotten, etc is nice to have
Experience with Software engineering best practices, including but not limited to version control (Git/GitHub, TFS, Subversion, etc.), CI/CD (Jenkins, Maven, Gradle, etc.), automated unit testing, Dev Ops is highly beneficial but not required
Experience with sourcing and modeling data from application APIs and publishing data and analytics services via APIs / Data Services is highly beneficial but not required
Experience deploying through an agile methodology and working in a SCRUM or SAFe team is highly beneficial but not required
5 or more years of experience with one or more general-purpose data processing programming languages, including but not limited to: SQL, Scala, Python, Java, etc
Architected end-to-end data pipelines with a major cloud stack is a plus
Experience in Cloud computing, machine learning, text analysis, NLP, and developing and deploying data and analytics services such as recommendation engines experience is a plus
Domain experience in the Human Resources field
Benefits
401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation
Holiday and personal days
Paid caregiver/parental and medical leave
Health benefits to include medical, prescription drug, dental and vision coverage
Company
Pfizer
Pfizer is a biopharmaceutical company that discovers, develops, and delivers medicines and vaccines.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$38BKey Investors
Starboard Value
2025-11-21Post Ipo Debt· $6B
2024-10-07Post Ipo Equity· $1B
2023-05-16Post Ipo Debt· $31B
Leadership Team
Albert Bourla
Chief Executive Officer
Ian Read
Chief Executive Officer
Recent News
Springfield Business Journal
2026-02-04
2026-02-04
Company data provided by crunchbase