Resume
Presales Engineer | Data & AI Solutioning
Customer-facing technical professional focused on discovery, solution framing, technical storytelling, and business value articulation across data, analytics, governance, and AI-oriented opportunities.
Executive Profile
I work at the intersection of business priorities, technical design, and buying decisions. My focus is helping customers and internal commercial teams move from vague requirements to credible solution direction by clarifying the business problem, translating technical options into decision-ready narratives, and aligning architecture to expected outcomes.
My strongest contribution in presales is not only explaining technology, but making it commercially legible: why it matters, how it can be adopted, what constraints matter, and how to present it credibly to both executive and technical stakeholders.
Core Value in Presales
Discovery and Qualification
Structure customer conversations around business drivers, current-state limitations, risk areas, success criteria, and stakeholder needs.
Solution Framing
Translate customer requirements into practical solution hypotheses, architecture directions, and technically credible recommendation paths.
Technical Storytelling
Adapt the same solution narrative for executives, business sponsors, and technical evaluators without losing precision or relevance.
Business Value Translation
Connect technical capability to measurable outcomes such as efficiency, risk reduction, visibility, resilience, and readiness for future scale.
Capability Summary
Presales and Solution Consulting
- Structured discovery and requirements clarification
- Business problem framing and use case definition
- Solution mapping and architecture positioning
- Technical presentations, demos, and walkthroughs
- Proposal support and response development
- Stakeholder-aware communication
- Objection handling support and solution clarification
- Value-based positioning for customer discussions
Data, Analytics, and AI Domains
- Analytics and business intelligence solutioning
- KPI, reporting, and dashboard thinking
- Data platform modernization conversations
- Data governance and trust-oriented discussions
- AI readiness and use case qualification
- Data storytelling for decision support
Technical Toolkit and Working Knowledge
- SQL
- Power BI
- Tableau
- Microsoft Excel
- Python
- Data warehouse and lakehouse concepts
- Analytics architecture fundamentals
- Governance and reporting foundations
Professional Experience
Technical Presales Engineer
Bluechip Technologies
Current
Support customer-facing technical engagements by aligning business needs with solution capabilities across data, analytics, and transformation-oriented opportunities.
Representative Contributions
- Support discovery conversations to clarify customer pain points, operating constraints, and target outcomes
- Help shape solution responses that are understandable, credible, and relevant to both business and technical audiences
- Contribute to technical writeups, response materials, and structured solution documentation
- Position data and analytics capabilities in a way that connects platform features to practical business value
- Collaborate with internal teams to improve the clarity and defensibility of solution recommendations
- Help communicate the implementation logic, trade-offs, and expected benefits of proposed approaches
Working Style
Business-First Problem Solving
I prefer to anchor technical conversations in business context before moving into product, platform, or architecture discussions.
Clear, Defensible Communication
I aim to make solution recommendations easy to explain, easy to defend, and useful across mixed stakeholder groups.
Commercial and Technical Balance
I care about solution accuracy, but I also care about adoption logic, decision confidence, and the commercial relevance of the recommendation.
Continuous Capability Building
I am actively deepening my expertise across analytics, data platforms, governance, AI use cases, and value-led technical advisory.
Education
| Miva Open University, Abuja | MBA (In view) |
Federal University of Agriculture, Abeokuta | BSc. 2011
Certifications
- Microsoft Certified: Azure Fundamentals
- Microsoft Certified: Power BI Data Analyst Associate
- Databricks Certified: Data Engineer Associate
- Databricks Certified: Lakehouse Fundamentals
- Microsoft & LinkedIn: Career Essentials in Data Analysis
- Relevant cloud, analytics, or data platform certifications