Manager of HR & Corporate Functions data and analytics engineering team at Pfizer. Responsible for data architecture, data modeling, and team leadership across various HR domains.
Responsibilities
Responsible for people data engineering, people data architecture, data modeling, building/enhancing data pipelines, and visualizations to drive digital and business outcomes
Maintain and enhance the design of the existing on-premise and cloud-based HR & Corporate Functions Data Lakes, Informatica power center data flows, Oracle RDBMS programming, SnowFlake ELT programming, Unix shell scripts, Business Objects reports, Tableau Visualizations, and People Analytics visualizations
Solution delivery/Project management responsibilities to manage and oversee a team of vendor developers that will deliver technical enhancements within the HR & Corporate Functions Domains (HR, Learning, Legal, Compliance, and Corporate Affairs)
Ensure adherence to data engineering best practices and architectural standards
Design automated solutions for building, testing, monitoring, and deploying ETL and ELT solutions
Analyze existing and new data sources and new systems and tools to enable the teams to consume and understand data more intuitively
Coordinate with source systems engineering teams to analyze data to improve efficiency, and performance as well maintain elevated levels of data quality and data consistency
Perform root cause analysis and resolve Level 3 production and data issues
Create and validate test plans, test scripts and perform data validation
Tune SQL queries, reports, and ETL pipelines
Build and maintain data dictionary and process documentation
Present solutions to leadership, management, architects, and developers
Lead cloud data engineering staff, and partner with project managers, and analysts to deliver insights to the business
Provide hands-on technical and thought leadership across development, product management, operations, and engineering management through effective communication
Actively develop mentoring relationships within or across teams to help others further their careers
Applies analytical and problem-solving experience with large-scale platforms, infrastructure, and organizations
Work with Analytics enablement teams to enhance and deploy new analytics capabilities in support of the broader mission to democratize data and analytics assets within the HR & Corporate Functions domains
Requirements
BS/MS degree in Computer Science, Engineering, Information Systems or related field
Experience in the Human Resources field with a specific focus on People Data & People Data Engineering, Human Resources Reporting, and Workforce Analytics is required
Strong Experience in traditional and modern data engineering such as Informatica Power Center, IICS, SnowFlake, Oracle RDBMS programming, Unix shell scripting, Python, etc is required
5+ years of experience in Data warehousing, data modeling, and data transformation is required
5+ years of experience as a Data Engineer / 3+ years of experience as a Data Solution Architect is required
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
Experienced with data preparation and ETL: Modern data engineering using AirFlow, SnowFlake etc is required.
Deep understanding of Cloud data warehouse solutions (Snowflake, Redshift, Spark, etc) is required.
5+ years of experience designing complex, integrated and interdependent data models for analytic, Machine learning use cases
Deep understanding and experience of AWS Cloud stack and (EC2, S3, Glue, Data Pipeline, Redshift) or Google Cloud Platform is required.
Benefits
401(k) plan with Pfizer Matching Contributions and an 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
Job title
Manager – HR & Corporate Functions Data & Analytics Engineering
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