As technologies grow and the world becomes more interconnected, data architects have risen to the task of better connecting these systems and finding optimal operational solutions. One individual who has made a profound impact on the field of data architecture is Joshua K. Dariya. Moving across multiple industries, Dariya’s exceptional analytical skills have helped his organizations meet their goals. For his contributions, he has been recognized in the prestigious Marquis Who’s Who listing of noteworthy professionals.
Early Career and Background in Data Analytics
In 2008, Dariya received a Bachelor of Science in Geography with a minor in Geographic Information Systems from Ahmadu Bello University, a public university in Zaria, Kaduna State, Nigeria.
Shortly after graduation, Dariya entered the workforce with his first job at Discover Financial Services in 2010. This work involved him working with databases and data analysis. Although he did not know it yet, he had an intuitive understanding of how to process and analyze data.
Over the next few years, Dariya would continue working as a data analyst, picking up a position with UnitedHealthcare in 2013. Following this, he utilized his analytical skills in the financial sector and worked as a senior business intelligence analyst at Citizens in New York from 2014 to 2016. From 2016 to 2019, he took the role of analytics consultant at Barclays Bank U.S., specializing in data analysis and business intelligence.
Analytical Solutions in the Financial Sector
During his tenure at Barclays Bank U.S., Dariya spearheaded a project to establish analytical solutions that would suit the financial institution’s unique needs. Throughout this time, he strove to devise a more intelligent approach to leveraging data for managing personnel.
Dariya’s efforts would prove successful. He and his team were able to provide insights into the time employees spent on specific projects, aligning it with initial projections. This work in data analytics effectively monitored employee capacity, identifying instances of overcapacity or undercapacity, allowing for more efficient resource allocation.
Data Architecture in Health Care and Insurance
In 2019, Dariya transitioned his data analytical skills into health care when he began work with TRIMEDX. There, he took on the role of senior informatics engineer, which focused on clinical asset engineering. Following this, he worked as a senior cloud data architect at Google from 2021 to 2022.
In 2022, Dariya obtained his current position with Quility Insurance, where he serves as the vice president of data architecture. Since assuming this role, he has used his analytical and leadership skills to lead the technical aspects of the data product within Quility Strategic Venture. Over the past two years, while Dariya has worked in this leading position, the company was named a Gold Stevie Award Winner in the Insurance Category at the 20th Annual American Business Awards in 2022.
One of the projects Dariya particularly enjoyed while working in the banking space was building a workforce analytics solution for human capital management. “The interesting part of the project was leveraging timecard data, comparing actual time worked against project forecasts, and using that insight as the foundation for understanding optimal utilization,” he explains.
Visions for Success at Quility and Beyond
Over the next five years, Dariya plans to continue driving Quility’s growth by spearheading initiatives that further enhance operational efficiencies. One of the key projects he has outlined is the development of real-time data processes that trigger immediate actions based on specific events. By automating these processes, newly acquired leads could be assigned to an agent in less than three seconds, greatly improving responsiveness and operational agility.
Dariya also plans to start his own technology entrepreneurship venture within six years and explore technology services, consulting, product and software development.
The Future of Data Architecture
With a firm commitment to staying abreast of new developments in technology, particularly in the data architecture field, Dariya believes that automation, machine learning, and data warehousing will all play major roles in the process of feeding data to systems to enable them to learn and make prescriptive decisions.
Dariya attributes his success to his eagerness to learn. “You can never know too much about one thing to not want to learn the next,” he concludes. As he watches his field evolve, he continues his efforts to contribute to and expand its possibilities and applications.
