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Influential Women features Damaris Galaviz on data leadership in manufacturing

Oct. 23, 2026
Influential Women features Damaris Galaviz on data leadership in manufacturing
By AI, Created 11:39 UTC, Oct 23, 2026, AGP -

Influential Women spotlighted Damaris Galaviz, a Business Intelligence Manager at Cornerstone Building Brands in Houston, for her role leading enterprise analytics across supply chain and finance. The profile highlights how her career path from data entry to BI leadership reflects the growing need for clearer data visibility and faster decisions in manufacturing.

Why it matters: - Damaris Galaviz leads enterprise business intelligence work that helps a manufacturing company make better decisions across supply chain, finance, and other functions. - Her role reflects a broader business need to turn complex data systems into usable strategy, especially in manufacturing where speed, visibility, and efficiency affect operations and growth. - The profile also spotlights career paths for women in technology and analytics, where continuous learning can create upward mobility.

What happened: - Influential Women featured Damaris Galaviz, a Business Intelligence Manager at Cornerstone Building Brands. - Galaviz is based in Houston and leads a corporate functional team of about five people. - Her work focuses on enterprise analytics, data architecture strategy, reporting, and data visibility. - The profile was published on October 23, 2026. - More information is available through her Influential Women profile.

The details: - Galaviz oversees analytics solutions that support supply chain, finance, procurement, and capital finance functions. - She helps prioritize data initiatives and align them with business needs in a complex manufacturing environment. - Her specialties include business intelligence, enterprise analytics, data strategy, data architecture, supply chain analytics, and procurement and capital finance analytics. - She is fluent in English and Spanish. - Galaviz was born in Mexico City and migrated to the United States at age 10. - She became a single mother at a young age and worked full time while continuing her education. - She spent more than 12 years at Comcast, moving from an entry-level data entry role into advanced analytics and finance-focused positions. - Her Comcast work included procurement analytics, capital finance analytics, financial analysis, and enterprise data management. - She earned a Bachelor of Science in Business Intelligence and Analytics Management from DeVry University in 2016 while working full time. - She also holds an Associate of Applied Science in Business Administration and Management from Lone Star College. - Galaviz holds certifications in business intelligence, analytical management, and Women in Technical Leadership. - She is a member of Women in Technical Leadership.

Between the lines: - Galaviz’s story is built around upward mobility through technical skill, persistence, and education. - Her background shows how operational roles can evolve into leadership when data skills are matched with business context. - The profile frames data leadership as both a technical function and a people-focused one, with collaboration and mentorship as part of the job. - Her advice to young women in analytics is to keep learning, welcome change, and treat every opportunity as a step toward the next one. - The article also suggests that many organizations still struggle to unify data and prioritize analytics in ways that produce measurable impact.

What's next: - Galaviz says the biggest opportunity ahead is helping organizations use business intelligence more effectively to improve decision-making and operational performance. - She sees especially strong potential for manufacturing companies to use data to improve efficiency, optimize processes, and support faster growth. - She also plans to keep helping younger professionals develop by sharing her experience and knowledge.

The bottom line: - Galaviz’s career shows how enterprise analytics can connect technical systems with business strategy while opening doors for the next generation of women in tech.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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