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Inclusive Leadership: Building a Culture of Inclusion and Belonging
March 29, 2022 @ 12:00 pm - 1:00 pm EDT
About this event
American activist Vernā Myers once said, ‘Diversity is being invited to the party, but inclusion is being invited to dance.’ Our panelists will share strategies for creating a workplace that is not only diverse but where employees have a sense of belonging and can be their true selves in a culture where they can participate without fear.
Kapil Surlaker, VP of Engineering at LinkedIn – Leading a team of machine learning scientists and engineers generating actionable insights around the Netflix catalog through the development of internal data products, models and metrics with a focus on causal inference.
Meghana Bhatt, Director of Data Science and Engineering at Netflix – Proven record in design and implementation of distributed systems with high performance, scalability and availability.
Barb Huelskamp, Senior Vice President, Global Partners & Alliances at Alteryx, is responsible for the partner strategy and program optimizing joint customer outcomes, and mutual growth for our channel partners at Alteryx. A +25-year veteran in channel and sales leadership who delivers revenue growth with sustainable outcomes in technology, cloud and software markets. Over her career, she has developed and executed channel strategies that increase market share, accelerate growth, and develop new partnerships/alliances. Her professional experience also includes program development, process improvement, and helping partners with complex change management or business transformation to the cloud.
Panel moderator: Tina Rosario, Head of Data Innovation, Chief Data Officer, Europe – In this customer facing role, Tina is responsible for helping SAP customers derive value from data innovation typically as an important component of an enterprise wide transformation initiative. Rosaria, Head of Data Innovation, Chief Data Officer, Europe – In this customer facing role, Tina is responsible for helping SAP customers derive value from data innovation typically as an important component of an enterprise wide transformation initiative.