Oladimeji Kazeem

Define and deliver an enterprise AI strategy and roadmap aligned to business goals, leading the architecture, governance, and execution of scalable AI, data, and automation platforms. Oversee end-to-end delivery of ML, GenAI, and analytics solutions; build and mentor high-performing teams, ensure responsible and compliant AI operations; optimize cost and performance; and partner with executives and external stakeholders to drive adoption, value, and industry leadership.

 Drive strategic AI and data consultancy partnerships across North America, Europe, and Africa, accelerating responsible AI adoption at enterprise scale. • Spearhead global AI capability-building initiatives, boosting partner AI maturity and operational readiness for cutting-edge AI technologies.

Led AI product development from ideation to launch, aligning with user needs and business goals. Created product roadmaps with milestones and KPIs. Conducted market analysis to shape value propositions. Collaborated cross-functionally to deliver user-centric AI solutions. Applied UX/UI design and feedback loops. Ensured AI quality control and ethics were integrated throughout development.

Developing and implementing a digital strategy that aligns with the organization's overall goals and objectives. • Overseeing the design and implementation of the organization's digital architecture, including hardware, software, and network infrastructure. • Collaborating with other executives and department heads to identify opportunities for digital technology to improve business operations and customer experiences.

• Data Storytelling and Visualization • Develop innovative data analytics solutions that meet business requirements. • Managed Machine learning model Implementation • Organizing and transforming information into comprehensible structures. • Identifying and recommending new ways to save money by streamlining business processes. • Communicating with stakeholders to understand data content and business requirements. • Manages a team of three talents.

• IT Governance, Strategy crafting and implementation. • Digital architecture road and implementation management • Data Governance and Warehousing development and management • Overseeing the development and enhancement of systems and integrating new systems with those existing. • Deployed Microsoft Dynamics ERP end-to-end with a cost saving of about 20%, increased returns of 44%, asset under management increase of 125%

Led enterprise data architecture and strategy, designing scalable, secure, and cloud-native data platforms aligned with business and regulatory requirements. Oversaw data engineering, integration, and governance frameworks to enable advanced analytics, AI/ML, and reporting. Drove modernization initiatives that improved data quality, accessibility, and performance; reduced platform costs; and ensured compliant, reliable data operations across the organization.

Built and optimized enterprise-scale data pipelines for analytics and reporting, improving data processing performance by 35–45%, reducing system downtime and data incidents by 25% through automation and governance, and supporting early AI/ML initiatives that enhanced forecasting and operational insight accuracy.

Built and optimised enterprise-scale data pipelines for analytics and reporting, achieving 35–45% improvements in data processing performance, reducing system downtime and data-related incidents by 25% through automation and governance controls, and supporting early AI/ML initiatives that improved forecasting and operational insight accuracy.

Supported lending, risk, and marketing decisions through customer and financial analytics, built automated dashboards reducing manual reporting effort by 25%, contributed to early predictive models identifying growth opportunities and risk exposure, and improved data quality and consistency to support compliance and audit readiness.