Warren A. Jones II describes his academic path as a practical learning strategy
shaped by family history, professional experience, and a long-standing belief in
education
as a social equalizer. His studies have followed a deliberate arc: first learning how organizations
function, then developing the technical and quantitative skills needed to study and improve them,
and eventually building toward applied research that can contribute knowledge back to the field.
Warren has tended to choose academic programs that answer practical questions he was already
encountering in the field. His education is less about collecting credentials and more about
building a usable skill stack for nonprofit operations, data analytics, decision-making, and
applied organizational research.
Warren’s view of education was shaped early by family members who treated learning as both a
personal responsibility and a practical route to opportunity. He was raised with the idea that
education could function as a social equalizer, especially for families and communities navigating
limited access, racial barriers, and uneven opportunity structures.
Family stories about his grandmothers were especially important to this view. Both women served as
family matriarchs after losing their husbands, and both migrated north from the
American South
in pursuit of broader opportunity. Both also completed formal nursing training at young ages.
His paternal grandmother graduated from
Morgan State College’s
nursing program at 16 years old.
Those examples gave Warren an early model of education as something practical, occupational, and
transformative. Formal training was not abstract; it was a way to build skill, enter a profession,
support a family, and move through the world with more agency. That family history helps explain
why his own academic choices have often leaned toward applied and professionally useful programs.
Business education
Warren earned a
Bachelor of Science
in Management Studies through the
University of Maryland Global Campus
School of Business. This foundational academic training helped him develop a stronger understanding of
management, organizational structure, and the way business problems are defined and addressed. He later
completed a
Master of Business Administration
in Organizational Management, also through UMGC’s School of Business. The M.B.A. added a broader business
foundation, including exposure to leadership,
organizational behavior,
strategy, finance, management frameworks, and the ways people function inside complex organizations.
Warren later continued his graduate education at
Morgan State University’s
Earl G. Graves School of Business and Management, where he enrolled in the
Master of Science
in Data Analytics and Visualization program. He was selected as a Morris Goldseker Fellow and awarded a
competitive full-tuition scholarship to continue his graduate study. This program expanded
his training in
data analytics,
data visualization,
statistics,
data science,
and technical methods for studying business and organizational problems.
For Warren, the B.S., M.B.A., and M.S. form a layered professional skill stack. The B.S. and M.B.A. helped
him understand organizations as human and managerial systems: groups of people working through roles,
incentives, structures, budgets, constraints, culture, and decisions. The M.S. added the quantitative and
technical layer: how to work with data, analyze patterns, build models, visualize results, and design the
infrastructure needed to support better decisions.
For Warren, the B.S. and M.B.A. form the first layer of his professional skill stack. They helped him
understand organizations as human and managerial systems: groups of people working through roles,
incentives, structures, budgets, constraints, culture, and decisions.
Technical and quantitative training
After years of nonprofit operations work, Warren developed a deeper interest in the technical gaps
he saw inside mission-driven organizations. Many nonprofits collect meaningful data, but do not
always have the infrastructure, staffing, or analytical routines needed to turn that information
into useful decisions. That observation helped shape his decision to pursue graduate training in
data analytics.
This training added a different layer to his work. It gave Warren tools to handle data, test
relationships, produce reports, build dashboards, conduct
exploratory data analysis,
and use applied modeling in business contexts. It also strengthened his interest in the data
infrastructure required to make analysis scalable and repeatable.
Skill stack
Warren often thinks about his academic path as a layered skill stack. The first layer, his B.S.
and M.B.A., helps him understand organizations and the people who work inside them. The second layer,
his M.S. in Data Analytics and Visualization, gives him the quantitative and technical tools needed
to examine organizational problems more rigorously.
Together, these experiences connect management and analysis. The business training provides the domain
understanding: how organizations are structured, how leaders make decisions, how resources move, and
how people operate within systems. The analytics training provides the technical layer: how to work
with data, analyze patterns, build models, visualize results, and create the infrastructure needed
to support downstream analysis.
This combination reflects Warren’s broader professional identity. He is not trying to become a
traditional technologist detached from a domain. He applies technical tools inside organizational
contexts he understands, especially nonprofit and mission-driven environments.
Doctoral interests
Warren is seeking admission to a
Doctor of Business Administration
program as a terminal applied research degree. In his view, a DrBA would add a third layer to his
skill stack by deepening his training in research design, applied inquiry, and scholarly publication.
The purpose of that doctoral training would not be theoretical study for its own sake. Warren is
interested in designing research inside organizations, studying real operational problems, and
producing findings that can be shared, tested, and adapted by other institutions. His interests
include nonprofit operations, the nonprofit starvation cycle, business intelligence, board governance,
applied artificial intelligence, machine learning, and decision-support systems.
In this sense, the DrBA represents a possible bridge between practice and scholarship: a way to take
problems first encountered in the field and develop them into applied research that contributes new
knowledge to management, nonprofit operations, and organizational practice.
Learning philosophy
Warren’s academic journey reflects a habit of returning to formal study when his professional
questions outgrow his existing toolkit. He has used education to build capacity in stages: first
to understand organizations, then to analyze them technically, and eventually to develop research
that can contribute beyond a single workplace.
His learning philosophy is practical, but not narrow. Warren values theory when it clarifies
practice, research when it improves judgment, and technical skill when it helps people solve
problems that matter. His academic path is rooted in the belief that education should help people
understand the systems they move through, build tools to improve them, and produce knowledge that
can be useful beyond the classroom.