
Data Management Leadership Position
5 hours ago
We are seeking an exceptional Business Intelligence Engineering Manager to lead and develop our team of skilled professionals across multiple global locations.
About the Role:
- Lead and develop a global team of Business Intelligence Engineers, fostering technical excellence and career growth through effective employee development and performance management.
- Drive architectural decisions for data pipelines, semantic layer objects, and visualization solutions serving massive-scale AR/AP operations by leveraging expertise in ETL/ELT and reporting/analytic tools and environments.
- Spearhead the migration from Tableau to QuickSight while ensuring business continuity and minimizing disruption to existing systems.
- Establish and evolve BIE best practices, particularly in AWS native technologies and AI integration, to stay ahead of industry trends.
- Provide technical leadership in scripting excellence and data pipeline optimization, driving innovation and efficiency throughout the organization.
- Partner with business analysts and the Science & AI team to deliver high-impact solutions that drive business value and growth.
- Develop and execute training programs for the broader analytics community, promoting knowledge sharing and collaboration.
- 7+ years of experience in business intelligence and analytics, including results-driven leadership and employee development.
- 5+ years of delivering results managing a business intelligence or analytics team, with a strong focus on employee development and performance management.
- 7+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience.
- Experience with data visualization using Tableau, Quicksight, or similar tools, and a strong understanding of data storytelling principles.
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software, with a strong focus on applying machine learning algorithms to real-world problems.
- 4+ years of working with very large data warehousing environment experience, with a strong focus on scalability, performance, and data governance.
At our organization, we empower our employees to deliver the best results for our customers. Our inclusive culture values diversity, equity, and inclusion, and provides opportunities for growth and development.
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