Chukwudera Obumneke Anunagba
Enterprise Data Governance Specialist | Technology Analyst | Cybersecurity Researcher | Data Analytics Professional | Creator of EDGIVAULT™
I am Chukwudera Obumneke Anunagba, a technology professional specializing in Enterprise Data Governance, cybersecurity, enterprise systems analysis, and data analytics.
My work focuses on strengthening the reliability, security, accountability, and strategic value of enterprise information.
Through my professional experience at Barclays, technology research, scholarly publications, and innovation activities, I have developed expertise in data-quality management, information lineage, cybersecurity incident coordination, regulatory compliance, and AI governance.
My professional interests lie at the intersection of enterprise data integrity, cybersecurity resilience, artificial intelligence, and information-management innovation.
I also developed EDGIVAULT™, an integrated Enterprise Data Governance, Integrity & Value Assurance Framework designed to help organizations evaluate information reliability, strengthen governance accountability, and improve enterprise decision-making.
My professional journey reflects a commitment to improving how organizations manage, protect, and utilize information.
I earned a Bachelor of Business Administration in Information Systems from Kennesaw State University, graduating Cum Laude. My academic training provided a foundation in data management, information security, systems analysis, business analytics, application development, and technology infrastructure.
At Barclays, I have gained experience across enterprise data governance and technology incident management. Within the U.S. Consumer Bank Chief Data Office, I worked on data lineage, data quality, metadata automation, governance documentation, and compliance monitoring.
My subsequent work within the Joint Operations Center has expanded my experience in cybersecurity incident coordination, technology-risk management, operational resilience, and cross-functional response processes.
Beyond my professional responsibilities, I have contributed to scholarly research covering enterprise data governance, cybersecurity economics, AI governance, privacy, healthcare informatics, and financial forensics.
My objective is to connect enterprise technology, research, and governance innovation to develop practical approaches that improve information integrity and organizational resilience.
My work at Barclays has involved supporting critical information-management and technology operations within a global financial institution.
Within the U.S. Consumer Bank Chief Data Office, I analyzed enterprise data lineage, investigated data-quality gaps, documented data definitions, and supported governance policies covering information ownership, stewardship, and lifecycle management.
I also developed Python and SQL-based metadata automation supporting hundreds of governance control scripts, reducing manual review requirements and improving consistency across control checks.
These responsibilities strengthened my understanding of how reliable enterprise information depends on effective governance, automation, and accountability.
Within Barclays' Joint Operations Center, I support cybersecurity incident coordination and technology-outage response, working with Cyber Operations, Cyber Threat Intelligence, Data Leakage, and other control teams.
My responsibilities include maintaining incident handovers, escalation records, impacted-business information, and operational documentation.
Earlier in my career, I contributed to technology product development at Barclays, where an internal networking platform achieved 90% adoption following iterative improvements. I also supported a cross-functional development team that delivered the platform within eight weeks.
At Infoblox, I researched more than 120 integrations across over 40 vendors, supporting technical documentation and partner ecosystem development.
These experiences demonstrate my ability to combine technical analysis, governance discipline, stakeholder collaboration, and practical technology delivery.
EDGIVAULT™ is an enterprise governance framework I have designed to integrate data integrity, governance accountability, cybersecurity assurance, AI readiness, and enterprise-value evaluation into one structured assessment methodology.
The framework draws from my professional experience in financial-sector data governance, cybersecurity incident coordination, enterprise systems analysis, and scholarly research.
Organizations often evaluate data quality, cybersecurity, compliance, and AI readiness through separate processes. This fragmentation can create gaps in information reliability, accountability, and risk visibility.
EDGIVAULT™ is designed to address these challenges through a unified evaluation architecture.
EDGIVAULT™ moves enterprise information management beyond isolated governance assessments toward integrated performance intelligence.
The framework operates through five stages:
Assess enterprise data accuracy, completeness, consistency, and lineage.
Examine data ownership, stewardship, governance policies, and accountability.
Evaluate cybersecurity protection, privacy safeguards, and regulatory compliance.
Assess data readiness for artificial intelligence and advanced analytics.
Translate governance findings into measurable enterprise performance intelligence.
EDGIVAULT™ introduces the Enterprise Governance & Integrity Index (EGII™), a proposed 0–100 scoring model for evaluating governance performance and identifying improvement priorities.
The framework is designed for financial institutions, healthcare organizations, technology enterprises, government agencies, and other data-intensive environments.
My objective is to develop EDGIVAULT™ into a practical assessment system that helps organizations strengthen information integrity, manage governance risks, and support responsible AI adoption.
I support enterprise incident coordination across cybersecurity events and technology outages, ensuring clear escalation procedures, operational handovers, and incident documentation.
My work involves collaboration with Cyber Operations, Cyber Threat Intelligence, Data Leakage, and technology-control teams to improve situational awareness and operational response consistency.
I also develop incident-management resources and standardized operating procedures using SharePoint and Confluence.
I contributed to enterprise data-governance activities involving information lineage, data-quality assessment, metadata documentation, ownership, stewardship, and lifecycle policies.
My responsibilities included investigating data-quality issues, supporting governance dashboards, monitoring compliance requirements, and contributing to AI-readiness standards.
I also developed Python and SQL-based metadata automation supporting hundreds of control scripts, improving consistency and reducing manual governance reviews.
I evaluated artificial intelligence tools and digital workflows to improve research, content development, and customer-engagement processes.
My responsibilities included AI-assisted content optimization, website analytics, search optimization, quality assurance, and technical troubleshooting.
I supported partner ecosystem development through technical research, platform analysis, and documentation improvements.
I evaluated more than 120 technology integrations involving over 40 vendors and contributed to Solution Notes and Deployment Guides supporting partner engagement and onboarding.
I managed product strategy and development activities for an internal networking platform.
Working with a four-member Agile development team, I supported delivery of the platform within eight weeks and helped achieve 90% user adoption through structured feedback and iterative improvements.
I worked with Excel and SQL Server to clean, normalize, transform, and validate business datasets.
My responsibilities included identifying reporting discrepancies, tracing root causes, and supporting corrective actions that improved data integrity.
My research focuses on the relationship between information integrity, cybersecurity, artificial intelligence, enterprise systems, and organizational resilience.
I have authored or co-authored 17 peer-reviewed scholarly publications covering data governance, AI governance, financial forensics, cybersecurity economics, healthcare informatics, privacy, and enterprise technology.
My selected solo-authored research includes:
This research examines how data analytics can strengthen audit quality, financial oversight, and information-based decision-making within financial institutions.
This study explores Zero Trust security approaches and their implications for healthcare cybersecurity and technology investment.
This publication examines ransomware-related financial exposure and strategies for strengthening institutional resilience.
My collaborative research also addresses AI-assisted CRM governance, privacy-by-design security, agentic AI systems, cybersecurity investments, financial fraud detection, and responsible AI in IT auditing.
Through these publications, I contribute to academic discussions on secure information management, governance accountability, and the responsible application of emerging technologies.
My professional and scholarly activities have received recognition from technology and academic organizations.
Nigeria Information Technology Awards (NiTA)
Recognized for professional contributions in data analytics, with subsequent coverage by ThisDay Live and Daily Trust.
Gulf Journal of Computer Sciences, awarded in February 2026.
Gulf Journal of Advance Business Research, awarded in February 2025.
Gulf Journal of Computer Sciences.
Computer Science & IT Research Journal.
International Journal of Management & Entrepreneurship Research.
Computer Science & IT Research Journal.
My earlier academic recognition includes graduating Cum Laude, multiple Dean's List and President's List honors, and third-place finishes in the 2023 Apps for Well-Being Hackathon and MITS Technology Competition.
I maintain professional affiliations that support continued engagement with information management, computing, research, and technological innovation.
Admitted to the Fellowship grade in August 2025.
Elected to the association's highest fellowship grade in July 2026.
Member since August 2026.
My broader professional engagement includes ColorStack, the National Society of Black Engineers, CodePath, and technology-development communities.
My innovation interests span Enterprise Data Governance, artificial intelligence, cybersecurity, secure software development, and intelligent information systems.
EDGIVAULT™ represents my proposed landmark framework in Enterprise Data Governance.
It integrates data integrity, accountability, cybersecurity, compliance, AI readiness, and enterprise performance assessment within one methodology.
Its proposed Enterprise Governance & Integrity Index (EGII™) provides a standardized approach for interpreting governance maturity and identifying corrective priorities.
I am a named co-inventor of an AI-driven wastewater purification system integrating sensor-enabled biochar adsorption, machine-learning control, autonomous regeneration, and IoT monitoring.
The innovation received Nigerian Utility Patent Registration No. NG/PT/NC/O/2026/21969.
I am a named co-inventor of a proposed system that applies generative models to source-code vulnerability analysis, remediation-patch generation, and automated verification.
This proposed innovation addresses privacy-preserving agentic AI execution through edge-device processing, privacy-gated routing, local model adaptation, and zero-retention memory controls.
Together, these innovation activities reflect my interest in developing technologies that strengthen information reliability, security, privacy, and operational efficiency.
I contribute to scholarly publishing through peer review and editorial activities involving computer science, cybersecurity, information systems, business research, and technology governance.
My editorial and reviewing experience includes:
My responsibilities involve evaluating scholarly manuscripts, examining research methodologies, assessing technical arguments, and contributing to publication quality.
These activities complement my research interests in Enterprise Data Governance, cybersecurity, artificial intelligence, and enterprise information systems.
My academic training covered data management, information security, application development, systems analysis, statistics, IT infrastructure, finance, and business analytics.
I also received multiple academic honors and participated in technology competitions focused on practical problem-solving and software innovation.
Completed first-year studies covering economics, management, accounting, statistics, business law, marketing, and data analysis.
Completed foundational coursework in economics, accounting, mathematics, business, computing, and social sciences.
These academic experiences established my interdisciplinary foundation in information systems, technology, management, and enterprise decision-making.
I believe effective Enterprise Data Governance is fundamental to organizational reliability, cybersecurity resilience, regulatory accountability, and responsible artificial intelligence.
As enterprises adopt increasingly complex digital technologies, information governance must evolve beyond isolated policies and technical controls.
Organizations need integrated methods for evaluating data integrity, ownership, security, compliance, and AI readiness.
My professional experience and scholarly research have strengthened my interest in developing governance approaches that connect these disciplines.
Through EDGIVAULT™, I am pursuing a framework that evaluates not only whether enterprise information is accurate, but whether it is appropriately governed, protected, traceable, and suitable for strategic use.
My broader objective is to contribute to enterprise information systems that support reliable decisions, stronger institutional accountability, and responsible technological innovation.
My capabilities span enterprise data governance, data-quality assessment, cybersecurity-risk analysis, information lineage, business intelligence, systems analysis, regulatory compliance, and AI governance.
My technical experience includes Python, JavaScript, SQL, MySQL, SQL Server, Power BI, Tableau, AWS, JIRA, Confluence, Microsoft Project, and Microsoft 365.
I also work with Agile and Scrum delivery frameworks, cloud computing, business process improvement, technical documentation, stakeholder engagement, and cross-functional collaboration.
These capabilities support my approach to designing practical, accountable, and data-driven enterprise technology solutions.
My professional achievements, research, and technology perspectives have been featured in Nigerian and international media.
Selected coverage includes:
ThisDay Live: Chukwudera Anunagba Bags NiTA Most Exceptional Data Analytics Professional of the Year Award — December 2025.
Daily Trust: Expert Bags Most Exceptional Data Analytics Professional of the Year — December 2025.
ThisDay Live: Cyber Threats in Hospitals: Chukwudera Anunagba Moves to Counter the Crisis — February 2026.
New Telegraph: How Chukwudera Anunagba Exposed Fraud in Africa's Digital Health System and Built a Solution — March 15, 2022.
