AN EXCLUSIVE, MASTERMIND NETWORKING GROUP
FOR WOMEN TECH LEADERS IN DATA & AI
WITH BOLD VISIONS AND GOALS.

Women Leaders in Data and AI (WLDA)

"Diversity in AI is critical to ensuring a successful and equitable world"

Asha Saxena, Founder and CEO, WLDA

WLDA is a vetted private network created for senior executive women tech leaders working in technology, Data and AI that provides its members with peer supported feedback, group sessions, industry expert hosted events, workshops, guidance on leadership development and supporting your team through uncertainty.

When you become a member of our professional community it’s like having a fully dedicated expert team in your corner. Someone who can help you put things in perspective, find different approaches to new challenges, and is always a champion for you.

True leadership is forged in the moments that challenge us most. WLDA is helping female executives, learn to adapt, build resilience, find a sense of purpose, reduce stress levels and thrive through change

Your investment in women leadership development and coaching showcases your corporate commitment to the growth and creation of next-generation, equal-opportunity corporations.

“This forum (WLDA) provides an opportunity for women in data science and analytics to share experiences and lessons learned regarding navigating projects, teams, organizations, and careers. It is a shared space where women leaders can co-learn and help equalize the fields of technology and data.

Chief Data Officer at MercyFirst and Adj. Assistant Professor at NYU

MEMBER BENEFITS

  • Facilitated, small group, peer-level networking to ensure lasting connections
  • Peer-to-peer learning and support for tough technology challenges
  • Cross-industry leadership development
  • Intimate access to prominent thought leaders through at monthly fireside chats
  • Personal and professional growth opportunities
  • Recognition, connections, and accountability along the journey

“An inspiring group of women executives sharing valuable work and life advice.” 

Sherry Marcus, Global Head of Analytics and Insights Prof. Svcs, Amazon
Sherry Marcus Global Head of Analytics and Insights Prof. Svcs Amazon

MASTERMIND GROUPS

CIRCLE LEVELS

CXO and VP-Level Circles provide peer to peer learning by moderated conversations over video conferencing.

This one-of-a-kind engagement is facilitated to produce authentic and intentional sharing between the members.

 MONTHLY TWO-HOUR SESSIONS

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QUARTERLY MIXERS

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Our quarterly mixers bring together CXO, VPs, and Directors of F1000 corporations in a virtual setting to help expand your network.

 This is their group and their chance to meet, engage, and build lifelong friendships in a social event. 

 

A private network for women tech executives 

WLDA is a private networking group for executive business women leaders in technology roles, ranging from chief data officers, VPs of BI & Analytics, CTOs, heads of AI to VPs of Machine Learning and SVPs of data to name a few.  WLDA’s CEO membership organization is built around the principles of community, exclusivity, diversity and trust. It is a place for business women to connect, support and develop impactful relationships with other successful women bosses in Data, Analytics, IT, ML and AI.  

Our vetted private network and executive coaching group are for high achieving senior women technology leaders — rising VP level through CEO — who want to enhance their journey into the C-suite while expanding their managerial/leadership capabilities.  Our member benefits include peer to peer learning and executive coaching group sessions, workshops, professional training and events centered around management topics like building and leading teams during a crisis, and addressing the key issues women must overcome to succeed in leadership roles. Although there other women’s executive networking groups, none of them cater exclusively to high-performing, high-ranking female leaders in technology positions.

WLDA’s racially diverse membership of senior leaders come from Global Fortune 1000 companies such as: Apple, Google, Amazon, Merck, BofA, The New York Times, SiriusXM, Cigna, Loreal, Grainger, Federal Bureau of Investigation, Chevron and Bain & Company to name a few.