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THE LARGEST GATHERING OF BLACK WOMEN DATA LEADERS AND PROFESSIONALS

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Black Women in Data Summit 2025

September 12-14

Le Méridien Atlanta Perimeter

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Black Women in Data Summit centers Black women's point of view in all spaces where data lives, offers opportunities for Black women to expand their data skills and communicates issues and recommendations critical to Black women's advancement in the data workforce.

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Hear from enterprise leaders devoted to Black women’s advancement in the data workforce

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​"My experience at the Black Women in Data Summit has been incredible. I've met a lot of like-minded women who are very eager to advance their careers and love working with data, so it has been a very enriching experience."     

-Jakeah Phifer, MSHI, CAHIMS

Senior Data Analyst at OptumRx

Previous Sponsors

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Community Partners

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We’re proud to partner with organizations that are committed to the advancement of Black women in the data space. If you’re interested in becoming an event sponsor, don’t hesitate to contact us today!

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Previous Speakers

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Ebony Vaz

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Kenya Oduor

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Mindelyn Anderson

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Shehara L. Wooten

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Janeka Handford

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Kiva Slade

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Monique Mills

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Sibongile Toure

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Jimmy Lubega

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Lisa Blanchard

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Sharon Attipoe-Dorcoo

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Tsion Sadore

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Uniqueka Walcott

Bringing you the access you need

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What Others Are Saying

Hi Dr Marshall- I enjoyed the BWD conference and so glad I discovered it. Hope to join in person next time. I recently started a healthcare executive analytic role and I’m stepping into networking with more black women in data so exited to connect 

Founder & CEO of DataedX Group

Dr. Brandeis Marshall

Dr. Marshall created Black Women in Data to center Black women's point of view in all spaces where data lives, offer opportunities for Black women to expand their data skills, and shape pathways for Black women's advancement in the data workforce. She speaks, writes, and consults on how to move intentionally and build people-first tech. She is the author of Data Conscience: Algorithmic Siege on our Humanity (Wiley, 2022), co-editor of Mitigating Bias in Machine Learning (McGraw-Hill, 2024), and contributing author of The Black Agenda (Macmillan, 2022).

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