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Francis Nwoguh serves as the Chief Technology Officer (CTO) of DataNova.AI Core, where he leads the company's technology strategy, cloud architecture, engineering standards, and platform innovation. With extensive experience spanning Cloud Engineering, DevOps, MLOps, Solution Architecture, and enterprise infrastructure, he has successfully designed, built, and modernized scalable cloud-native solutions across global technology organizations including Amazon and Intel.

His expertise spans Microsoft Azure, AWS, Infrastructure as Code, Kubernetes, CI/CD, cloud modernization, enterprise architecture, platform engineering, and AI infrastructure. He is passionate about designing secure, resilient, and scalable cloud platforms that enable organizations to innovate confidently.

At DataNova.AI Core, Francis leads the technical vision, oversees engineering execution, mentors technical teams, and ensures every enterprise solution is built with reliability, scalability, and long-term success in mind.

Christopher Okonkwo, PMP, serves as Director of AI Governance & Enterprise Strategy at DataNova.AI Core. With over nine years of experience leading enterprise PMO governance, business transformation, customer success, operational excellence, and compliance initiatives, he specializes in turning strategic vision into measurable execution.

His expertise spans AI Governance, enterprise delivery, organizational transformation, regulatory compliance, stakeholder engagement, risk management, and strategic execution.

Christopher ensures every AI initiative delivered by DataNova.AI Core is governed responsibly, aligned with business goals, compliant with industry standards, and positioned to create sustainable long-term value.

Nene Okonya-Chukwu is the Director of Data & AI Solutions at DataNova.AI Core, where she leads enterprise data engineering initiatives and the company's technical education programs.

With more than seven years of experience spanning Data Engineering, Artificial Intelligence, analytics, cloud platforms, and government transformation, she has worked with the Office of the Chief Economic Adviser to the President and the Office of the Secretary to the Government of the Federation, helping strengthen evidence-based decision making through modern data solutions.

Her expertise includes Microsoft Azure, Azure Data Factory, Databricks, Apache Spark, SQL, Python, Power BI, and enterprise analytics. She is passionate about simplifying complex technologies, mentoring future professionals, and helping organizations unlock the full value of Data and Artificial Intelligence.

JeVaughn Martin is a seasoned marketing leader who translates complex technology into human stories. As Director of Marketing & Creative Strategy at DataNova.AI Core, he drives brand growth through impactful storytelling, engaging design, and world-class educational experience.

With a background spanning media production, content development, and strategic communications, JeVaughn excels at building brand equity and fostering deep audience engagement across diverse sectors. He is passionate about crafting creative strategies that connect, inspire, and deliver measurable results.

Paul Nkuma serves as Director of Datanova Academy & Technical Training at DataNova AI Core, where he leads the design and delivery of the company’s technical education programs, professional training, and workforce development initiatives. He is responsible for building Nova Academy into a premier learning platform that equips individuals and organizations with practical, industry-ready skills in Data Engineering, AI Engineering, Cloud Technologies, and Modern Data Platforms.

With nearly ten years of experience designing and delivering enterprise data solutions, Paul specializes in Microsoft Azure, Microsoft Fabric, Azure Databricks, Apache Spark, SQL, Python, Lakehouse architectures, and real-time data engineering. His experience spans implementing scalable cloud platforms, mentoring technical professionals, and translating complex engineering concepts into practical, hands-on learning experiences.

Through Nova Academy, Paul is passionate about developing the next generation of data and AI professionals by delivering world-class technical training, industry certifications, hands-on workshops, and enterprise learning programs that bridge the gap between theory and real-world implementation.