Data Warehouse Program Manager

Overview

On Site
BASED ON EXPERIENCE
Full Time
Contract - W2
Contract - Independent

Skills

Amazon Web Services
Management
Accessibility
Data Migration
Mainframe
Open Systems
Cloud Computing
Data Extraction
Extract
Transform
Load
Migration
Leadership
Agile
Data Quality
Data Governance
Regulatory Compliance
Data Integrity
Database Administration
Database
IBM DB2
PL/SQL
Data Modeling
Effective Communication
Data Warehouse
Analytical Skill

Job Details

Location - Erie PA

Note: Need a program manager for Data warehouse/ data migration project who has worked on cloud technology, specifically AWS.
100% Onsite from Day 1.

Role: Data Warehouse Program Manager

What You'll Do:
  • Oversee and lead the program execution for our Data Accessibility strategy.
  • The ideal candidate will possess an understanding of the complexities involved in large-scale data migration projects, particularly from mainframe (e.g., DB2) and open systems (e.g., Oracle, SQL Server) to cloud environments.
  • This includes familiarity with data extraction, transformation, and loading (ETL) patterns, data governance, and the challenges of integrating disparate data sources for a unified data warehouse.
  • Experience working with teams that have successfully implemented such migrations is crucial.

Preferred Experience & Skills:
  • Leadership and Program experience operating in an agile environment.
  • The individual for this role should have experience participating in initiatives focused on data quality, data governance, and compliance. This involves understanding the importance of data integrity, security, and regulatory requirements in a multi-customer data environment, and ensuring that program efforts align with critical standards.
  • While not expected to be a data modeler or a DBA, the candidate should have familiarity of various database technologies (relational, e.g., DB2, Oracle, SQL) and the fundamental concepts of data modeling. This enables effective communication with data architects and engineers, ensuring the data warehouse design meets business requirements for multi-customer access and insights.
  • Demonstrated experience in guiding teams through the processes of data curation, cleansing, and transformation to create high-quality, consumable data assets. This includes understanding the lifecycle of data from raw source to curated insights and how to enable various stakeholders and customers to effectively access and utilize that data for their analytical needs.
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