CDO New York Summit | July 19, 2022 | Well& at One World Trade Center - New York, NY, USA
Sara Willovit
Associate Director, Product Master Data Governance
BD
Sara Willovit started her career in Finance, moving into Data Management 15yrs ago when implementing a Financial Reporting System. Since then she has been executing programs around: “Data as a Service”, “Agile Stewardship & leveraging game dynamics and crowd sourcing to drive engagement & data democratization. She has a proven track record of helping organizations use data to gain new capabilities and revenue, reduce risk and complexity, and ensure survival through adherence to ever-changing governance, risk, compliance, security, and data quality requirements across industries.
Kelsey Reinhardt
Head of Data Engineering
Forbes
Kelsey Reinhardt is the Head of Data Engineering at Forbes overseeing a team of six. She has worked on Business Intelligence teams at Digital Media companies for seven years after earning a dual degree in Information Science & Marketing from Northeastern University. Her current focus is managing and growing her team of Engineers who ensure that Forbes’ 400+ daily data sources come in accurately and on time to power countless dashboards and data science models, as well as synthesize Forbes’ proprietary first-party data platform, ForbesOne. This cutting-edge product enables Forbes to unify the information that its users supply into one profile. Once there is a deeper understanding of the reader across different touch points, site experience can be personalized and ad targeting more accurate which results in enhanced performance. Kelsey lives in Northern NJ and enjoys cooking new recipes, weekend trips, and taking 35mm film pictures.
Michael Sun
VP of Data Science
Rocket Mortgage
Michael is a leader in Data Analytics and Machine Learning with over 20 years of real-world experience including, financial, insurance, health care and internet companies, etc., and a track record of providing thought-leadership and producing world-class products and services. He has established myself as an inspiring leader and supportive mentor, who has built and led teams to accomplish great feats. His personal research interests are Artificial Intelligence and Machine Learning, including Natural Language Processing, Supervised and Unsupervised Learning, and Deep Learning Neural Networks. I am proficient in multiple programming languages, including Python and Java, with hands-on knowledge in Big Data, Cloud Computing, DevOps, and Agile.
Sara Willovit
Associate Director, Product Master Data Governance
BD
Kelsey Reinhardt
Head of Data Engineering
Forbes
Michael Sun
VP of Data Science
Rocket Mortgage
Michael Sun
VP of Data Science
Rocket Mortgage
Michael is a leader in Data Analytics and Machine Learning with over 20 years of real-world experience including, financial, insurance, health care and internet companies, etc., and a track record of providing thought-leadership and producing world-class products and services. He has established myself as an inspiring leader and supportive mentor, who has built and led teams to accomplish great feats. His personal research interests are Artificial Intelligence and Machine Learning, including Natural Language Processing, Supervised and Unsupervised Learning, and Deep Learning Neural Networks. I am proficient in multiple programming languages, including Python and Java, with hands-on knowledge in Big Data, Cloud Computing, DevOps, and Agile.
Michael Sun
VP of Data Science
Rocket Mortgage
Overcoming the challenge of legacy cultures, resistance to change and disjointed processes in order to unlock new ways of working with data and analytics. Getting the business to understand what the data team does and embedding the importance of (and collective responsibility for) data across the organisation is essential if companies are to truly embrace and optimise advanced analytics capabilities. A top-down approach is often an essential part of this, so obtaining board level buy-in to secure investment in data initiatives is a key facet of this challenge. Equally, the question of whether the data team should be centralised or decentralised (i.e. integrated within different lines of business) is also a key tenet of the cultural challenge.
Chas Murphy
SVP of Data Science, Analytics and Research
SiriusXM
Do you want to understand how to get and keep the attention of your leadership team? Do you have great ideas and roadmaps that have lost traction? We all want to contribute a positive impact to our enterprise. But, how do you organize and prioritize your Data Science team and projects to not only achieve buy in, but to make massive business impact both in the near and mid term? Join us as I share some lessons learned in leading three successful analytics roadmap implementations and three corporate turn-around strategies driven by Data Science and Analytics.
Chas Murphy
SVP of Data Science, Analytics and Research
SiriusXM
Arun Nadi
Sr. Director & Head of Data & Analytics
Uniliver
Arun Nadi
Sr. Director & Head of Data & Analytics
Uniliver
Data governance practices and disciplines have been inherent in a number of organisations for many years, but the evolving regulatory landscape (particularly with the onset of GDPR) has compelled organisations to scrutinise and optimise how they store, manage and process data and create a roadmap of activity. Organisations are seeking an overarching approach to data governance to manage the people, processes and technologies involved in data initiatives in a more modern way.
Sid Raisoni
VP of Analytics
World Wrestling Entertainment
Sid Raisoni
VP of Analytics
World Wrestling Entertainment
Edward Bezerra
Vice President Of Infrastructure (I&O, Enterprise Architecture, & Cyber Security)
K. Hovnanian®️ Homes
Edward Bezerra
Vice President Of Infrastructure (I&O, Enterprise Architecture, & Cyber Security)
K. Hovnanian®️ Homes