Manager, Data Information Global

Manager, Data Information Global

Design and implement scalable data architectures and data models to support enterprise reporting, analytics, and business intelligence use cases. Design, develop, and optimize ETL/ELT pipelines and workflows to process large-scale datasets, ensuring performance, scalability, and reliability.

What You Will Do:

• Develop data solutions using SQL and Python to transform, validate, and analyze complex datasets, enabling accurate and timely insights.
• Manage and provide technical leadership for a global team of Data Engineers and Business Analysts, including task prioritization, code reviews, and professional development while ensuring adherence to engineering best practices and standards.
• Serve as a primary escalation point for complex data issues, ensuring timely resolution of data discrepancies and maintaining high data reliability during critical reporting and operational cycles.
• Architect and support complex data warehousing solutions (e.g., Oracle, SQL Server, Amazon Redshift, Snowflake or similar platforms), including development of data pipelines and historical data tracking structures such as Slowly Changing Dimensions (SCD).
• Establish and enforce data governance, data quality standards, and audit controls to ensure integrity, consistency, and compliance of data used for business and financial reporting.
• Support enterprise financial and operational reporting by ensuring accurate data processing, validation, and reconciliation across systems.
• Partner with cross-functional stakeholders to translate business requirements into scalable technical solutions, supporting key initiatives such as customer lifecycle analysis, performance tracking, and forecasting.
• Contribute to the evolution of data frameworks and processes to support planning, forecasting, and evolving business needs, including adapting data models to reflect changing business rules and structures.

What You Will Bring:

• Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Information Technology or related field and nine (9) years of experience in the job offered or related role OR eleven (11) years of experience in the job offered or related role.
• Must have five (5) years of experience with: data architecture and scalable system design; ETL/ELT pipeline development and optimization; data modeling and schema design; data governance, data quality frameworks and audit controls; data warehousing; and data engineering with increasing ownership and delivery responsibility.
• Must have three (3) years of experience with: data integration and API-based data engineering; business data validation, reconciliation and compliance reporting; advanced SQL and database performance optimization; python for data engineering and automation; and technical mentorship, including code reviews and cross-functional collaboration.

Salary range for this position is $148,366 - $180,000/year. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat

Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)

Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

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