Overview In this podcast episode, Yakaira Núñez (Kai), Vice President of Research & Insights at Salesforce, joins as a guest to share her story and insights on leading teams to deliver actionable insights. Kai is an experienced leader in data and analytics, with a passion for driving innovation and positive change. Kai shares her background and how she got into the field of data and analytics. She then dives into the first topic, actionable insights. Kai defines what actionable insights are and how a multifaceted team plays a crucial role in driving them. She also shares her experiences building and deploying a data fluency agenda across the organization and the valuable lessons she learned from it. Also, she talks about her work with the Trillion Trees Tree Tracking Platform and Generations AI with the World Economic Forum, where responsible AI is a key focus. She discusses her leadership style and what it means to lead with empathy, responsibility, and impact. Kai provides real-life examples of how she implements these principles in her leadership style and the positive outcomes it has produced. Overall, this episode provides insightful and practical advice on leading teams to deliver actionable insights, using responsible AI, and leading with empathy and impact. About YAKAIRA 'Kai' NÚÑEZYakaira is a product & research leader dedicated to crafting technology that enables the human/life/work experience - seamlessly. She is an experienced strategist, systems thinker, and implementer who has employed her passion to deliver high impact products and build responsible tech & data fluency throughout organizations. As a product leader, she is renowned for agile and proactive delivery, operational excellence, digital transformation, and laser focus on value to the customer + the bottom line. As Head of Research & Insights for the Salesforce Platform she has focused her talents on directing & activating data from analytics to insights from C-Suite to Sales Enablement in service of FY23 goals for: AI & Data, Developer & Administrative Experiences, Platform Products & Cloud Strategy. As a leader in Responsible Tech, she has led tech innovation and product development for strategic initiatives such as the Land & Oceans Sustainability Goals, Trillion Trees Tree Tracking Platform, and Generations AI with the World Economic Forum. Across industries and services, from multinational organizations to educational institutions, to start ups, and not for profits - Yakaira has shaped and delivered high value services and products. Yakaira speaks publicly on Diversity and Inclusion in AI and Tech, and Green Tech. Social Handles: LinkedIn: https://www.linkedin.com/in/yakairanunez/ Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview We dive into the topic of informed decision-making. Our guest today is Ishita Majumdar from eBay, who will be sharing her insights on the top three areas that lead to informed decision-making. According to Ishita , the top three areas that lead to informed decision-making are experimentation, customer 360, and internal business analysis. Experimentation involves testing hypotheses and gathering data to inform decisions. Customer 360 involves a complete understanding of the customer, including their needs, preferences, and behaviors. Internal business analysis involves analyzing internal data to identify opportunities for improvement. She then provides an example of how she does experimentation at eBay. Moving on to optimizing the customer 360 experience, Ishita suggests that it is important to collect as much data as possible about the customer, including demographic information, purchase history, and feedback. She suggests using this data to create personalized experiences for customers and to anticipate their needs. Finally, Ishita discusses how to effectively influence the business to make data-driven decisions internally. About Ishita Majumdar As a Product and Technology leader, I lead with influence and inspiration to create impact. I drive transformations at technology, product and organization level. In my 20+ years of technology experience, I am valued for customer empathy, product development, cross-functional collaboration, and global organization management. As a champion for diversity, equity and inclusion, I actively invest in mentoring and sponsoring girls in tech, and women in tech. I am an avid speaker and champion on technology, diversity and the intersection of the two. Social Handles: LinkedIn: https://www.linkedin.com/in/ishitamajumdar/ Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview This Data Bytes podcast episode features Beth A Walter, an Assistant Teaching Professor of Business Communication at Carnegie Mellon University Tepper School of Business, where she discussed two interesting topics. The first topic focused on the common pitfalls individuals make when communicating analytic insights in the field of data analytics.  The second topic discussed on the podcast was executive presence, and how performing arts can improve it. Walter explained that executive presence refers to the ability to project confidence, competence, and credibility in high-stakes situations. She shared tips on how to improve executive presence, such as maintaining eye contact and body posture, and the importance of developing a strong voice. Walter also discussed how learning the performing arts can help improve executive presence, as it involves building self-awareness, practicing presence, and honing communication skills. Overall, Walter's insights were valuable for anyone looking to improve their communication skills, whether in the realm of data analytics or executive presence. About Beth Walter Beth Walter is Assistant Teaching Professor of Business Communication at Tepper School of Business, Carnegie Mellon University (CMU). She teaches undergraduate and graduate-level courses in business communication, presentation skills, professional writing, executive presence, storytelling, improv for leaders, and strategic leadership. Additionally, Beth serves as faculty director for communication programs at Tepper Executive Education and regularly consults with global companies to help them improve their internal and external communications. Formerly, Beth was an assistant professor of communication at the University of Dayton and at CMU-Heinz College for Public Policy and Information Systems. Her most recent research focuses on pedagogical methods for making the contexts and conventions of business writing and their differences more explicit and accessible for business students. Beth also researches effective strategies for corporate communication about social responsibility initiatives. Beth received two top-paper awards from the National Communication Association for her research in rhetorical theory and semiotics. Her work has been published in the Atlantic Journal of Communication, and she is a recipient of Duquesne University’s Award for Outstanding Scholarship in Communication and Rhetorical Studies. From 1996-2010, Beth served as President and CEO of Spotlight Performing Arts, Inc. in Pittsburgh where she directed over three dozen theatrical productions. Drawing on her former experience as an actress, stage director, and entrepreneur, Beth helps professionals at all stages of their career apply classic performance principles to communicate with impact and collaborate in teams. Social Handles: LinkedIn: https://www.linkedin.com/in/beth-a-walter-37108235/ Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview In this podcast, we will explore the world of data management with Barkha Saxena who is the Chief Data Officer at Poshmark. She shares two distinct topics - data products and datamesh. In the first part of the podcast, we will discuss data products, including how they are defined, the types of data products built at Poshmark, and whether one needs data product owners to build data products. We will also explore how organizations can develop a data product mindset. In the second part of the podcast, we will delve into datamesh, including the differences between data fabric and datamesh, and advice for Chief Data Officers (CDOs) looking to transition to a datamesh. We will also discuss what skills would be valuable for someone starting their career in data management today. Join us as we explore these two important topics in the world of data management and help you navigate the ever-evolving landscape of data. About Barkha Saxena Business and Product leader with broad and deep data and AI expertise. Experience in taking an idea to all the way to building a business unit through the stages of innovation, strategy, product development, business development and sales. Experience working with large scale data science and ML implementations for Social Ecommerce, Advertising, Financial Services, Retail, and Telecom industries • Seasoned executive with experience in building teams from ground up and driving business initiatives.  • 20 years of experience in analytics, data science and machine learning. Business function expertise: product, marketing and operations • Data: Deep expertise in consumer digital behavior data and traditional marketing, acquisition, product interaction, risk and customer management data Social Handles LinkedIn: https://www.linkedin.com/in/barkhasaxena/  Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview Barr Moses, Co-Founder and CEO of Monte Carlo, joins on the podcast. Prior to founding Monte Carlo, Barr was the VP of customer success operations at Gainsight and holds a bachelors of science in mathematics and computer science from Stanford. In today’s episode Barr shares her inspiration for founding Monte Carlo, the cost and harms of poor quality data, the five principles of data observability, and her top predictions for data trends in 2023. About Barr Moses Barr Moses is CEO & Co-Founder of Monte Carlo, a data reliability company and creator of the data observability category, backed by Accel, GGV, Redpoint, ICONIQ Growth, Salesforce Ventures, IVP, and other top Silicon Valley investors. Previously, she was VP Customer Operations at customer success company Gainsight, where she helped scale the company 10x in revenue and, among other functions, built the data/analytics team. Prior to that, she was a management consultant at Bain & Company and a research assistant at the Statistics Department at Stanford University. She also served in the Israeli Air Force as a commander of an intelligence data analyst unit. Barr graduated from Stanford with a B.Sc. in Mathematical and Computational Science. Social Handles LinkedIn Barr's Twitter Monte Carlo's Twitter Monte Carlo's Website Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview Gabriela de Queiroz joins us this week on the podcast.  Learn what skills are needed in a technical role as an individual contributor and how these skills change as you move to a management or leadership role. Transitioning to a leadership role can be difficult but Gabriela shares how you can best prepare to move into the role and excel! Here's a hint, a community is essential!  About Gabriela de Queiroz With over a decade of experience in the data space, Gabriela has worked in research and in several startups from different industries, including Software, Financial, Advertisement, and Health. Throughout her career, she has built diverse teams, created sophisticated data science solutions, engaged with customers and stakeholders to deliver business insights and drive data-centric decisions. She is passionate about building innovative solutions, understanding business gaps, and customer needs, and delivering a flawless experience. Currently, Gabriela de Queiroz is a Principal Cloud Advocate Manager at Microsoft. She leads and manages the Global AI/ML/Data team in Education Advocacy. Before that, she worked at IBM as a Program Director on Open Source, Data & AI Technologies and then as Chief Data Scientist at IBM, leading AI Strategy and Innovations. She is actively involved with several organizations to foster an inclusive community. In 2012 she founded R-Ladies, a worldwide organization for promoting diversity in the R community, present in more than 200 cities in 55+ countries. In 2019, she founded AI Inclusive, a global organization that is helping increase the representation and participation of minorities in Artificial Intelligence. Social Handles k-roz.com twitter linkedIn mastodon AI Inclusive Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview Elona Tuomi and Maithili Dandige  are two senior leaders in technology, certified life coaches, and life coaches for women in data. If you are looking to overcome perfectionism, imposter syndrome, and get unstuck in your career, then this episode is for you. We cover everything from what is life coaching career transitioning, and how  perfectionism lead to imposter syndrome. Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview Wendy Turner-Williams joins us to share her inspiring story.  She used her layoff as a pivoting point to start a community to bring people together.  She shares insights with the tech layoffs happening in this current time. Wendy also chats about the similarities of being a CDO and creating a community.  About Wendy Turner-Williams In her role as Chief Data Officer, Wendy manages Enterprise Data Strategy, Data Platforms & Services, Data Governance & Management Maturity, Data Risk, and Data Literacy. Wendy and her team are charged with helping fuel data-driven business innovation, transformation, and operational excellence across all areas of Tableau’s business.   She joined Tableau after several years with parent company Salesforce, leading the Information Management & Enterprise Data Strategy.  She also worked at Microsoft in both Bing/Ads and Azure driving data strategy and data platform as a service. Wendy has over 20 years of data, strategy, business applications, process automation and management experience - spanning multiple business segments. Wendy graduated from Oklahoma State University with a B.A. in European History.  Social Handles LinkedIn - https://www.linkedin.com/in/wendy-turner-williams-8b66039/ Join The 10% Community - http://salesforcelayoffs.slack.com/ Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview We are speaking with the powerhouse, Dr Brandeis Marshall. She is the Founder and CEO of DataedX Group, author of the book Data Conscience: Algorithmic Siege on our Humanity, and founder of Black Women in Data. In this episode we talk about her journey and tips for writing a book. We also explore the doom of AI and what can be done about it. About Dr. Brandeis Marshall Brandeis Hill Marshall teaches, speaks and writes about the impact of data practices on technology and society. This computer scientist is an accomplished educator-scholar instructing aspiring data professionals to seasoned business leaders and leading federally funded projects. Dr. Marshall is the Founder and CEO of DataedX Group, LLC. DataedX Group provides learning and development training to help educators, scholars and practitioners humanize their data practices by recognizing and mitigating algorithmic harms. Her first book, Data Conscience: Algorithmic Siege on our Humanity, was released in September 2022. It unearths the interlocking computational and civic implications of data on digital processes, structures and institutions. She holds a Ph.D. and Master of Science in Computer Science from Rensselaer Polytechnic Institute and a Bachelor of Science in Computer Science from the University of Rochester. Social Handles Twitter | Personal - https://twitter.com/csdoctorsister Twitter | Black Women in Data - https://twitter.com/BlkWomenInData Twitter | DataedX - https://twitter.com/DataedX_ LinkedIn | Personal - https://www.linkedin.com/in/brandeis-marshall/ LinkedIn | DataedX - https://www.linkedin.com/company/dataedx/ Website | DataedX - https://www.dataedx.com Website | Personal - https://www.brandeismarshall.com Website | Black Woman in Data - https://www.brandeismarshall.com Buy "Data Conscience: Algorithmic Siege on our Humanity" | https://www.brandeismarshall.com/book Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview Rehgan Avon, Co-Founder & CEO AlignAI where she is changing the way companies retain, update, and consume their institutional knowledge around building and using data & AI.  She shares her founder's journey, the struggles and solutions that exist sharing institutional knowledge for AI and how to overcome barriers as a woman in tech.  About Rehgan Avon Rehgan Avon is the co-founder & CEO of AlignAI, an AI Adoption Platform that is changing the way companies capture, share, and improve institutional knowledge around AI and data across their organization. With a background in integrated systems engineering and a strong focus on building technology to support analytics and ML, Rehgan has worked on architecting solutions and products around operationalizing machine learning models at scale within the large enterprise. Rehgan’s previous experience has been fueled by a passion for early-stage startups and product development. She has also taught courses in python, data science, and web development at MBA programs nationally. Rehgan has built an extensive community of experts through Women in Analytics, a company she founded in 2016 to promote more visibility to diverse individuals making an impact in this space. She hosts a global conference every year that has put over 200 women on the stage. The community has over 5000 members from around the world that participate in tutorials, learning groups, discussion boards, and mentorship programs. She is also the recipient of Columbus CEO’s Future 50 award. Social Handles https://twitter.com/RehganAvon https://twitter.com/wia_community https://twitter.com/getalignai https://www.linkedin.com/in/rehganavon/ https://www.linkedin.com/company/women-in-analytics-community https://www.linkedin.com/company/alignai https://www.instagram.com/wia_community/ https://www.facebook.com/womeninanalyticscommunity  Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support