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5. Ellen Nielsen, chief data officer, Chevron
Describe your career to date
Digital and data are the threads that have run throughout my career. I began my career as an IT system engineer and over the three decades have served in global leadership roles of increasing responsibility in IT, digital and procurement/supply chain at Siemens, GE, Hewlett-Packard, Henkel and now at Chevron.
When I started at Chevron, I was the general manager for global category management in procurement/supply chain management, providing leadership to improve global sourcing strategies and supplier relationship management. In my current role, as the chief data officer, I am responsible for driving the data culture, and establishing key data capabilities to ensure Chevron businesses capitalize on the value of data and insights.
Additionally, I serve on the advisory board for Women Leaders in Data & AI (WLDA.tech) and PIDX (pidx.org). I am a change agent, a lifelong learner, and I enjoy being a part of a high performing and diverse team.
What stage has your organization reached on its data maturity journey?
Over the past few years, we have seen increased business value from the insights gathered from data. Our data and AI strategy has been developed in collaboration with our business and digital platforms. We have made great strides with much more to come.
Tell us about the data and analytics resources you are responsible for
We have several hundred Chevron employees in the data and insights teams globally, including data engineers, data architects, data analysts and data scientists, software engineers, data science strategists, and agile-trained engineers. The data and insights portfolio sits in the IT organization which belongs to the Chevron Technical Center.
Chevron follows a digital platform model to harmonize capabilities across businesses. Engineers are focusing on growing IT engineering capabilities and business acumen. Every platform and business have a data and insights team based on maturity and demand. Global data and insights portfolios like geospatial data and third-party data are managed enterprise wide.
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