Paul Ekwere AI & Data Leader

Experienced Data Analytics & AI Leader with 13+ years in tech consulting and aerospace. Board Member at ICAEW, passionate about diversity, data storytelling, and responsible AI.

Email available upon request
Phone number available upon request
London, UK
Paul Ekwere

About Me

Driving innovation through data and AI leadership

As an AI innovator, Board Member and Data Science expert with a keen eye for transformative technology, I bring over 13 years of experience in tech consulting and aerospace industries. Currently serving as a Board Member on the ICAEW Technology Faculty Board and Senior Manager of Data Innovation & AI at BDO UK LLP.

£4M
Annual revenue stream managed
40+
Team members led
2500
Clients served
Top 2%
MIT ADSP Cohort ranking

Core Values

Innovation

Pioneering responsible AI applications in audit and risk analytics

Diversity

Leading DEI initiatives and fostering inclusive tech environments

Excellence

Delivering data-driven solutions that exceed industry standards

Ethics

Ensuring responsible AI development and deployment practices

Professional Experience

A journey of leadership and innovation

2024 - Present

Board Member

ICAEW Technology Faculty Board

Serving on the ICAEW Tech Faculty Board, focusing on Artificial Intelligence as a transformative area. Contributing to thought leadership, developing guidance for members and stakeholders, and ensuring the ICAEW community is informed about crucial issues in AI adoption and responsible use in Audit and Financial Services.

2023 - Present

Senior Manager - Data Innovation & AI

BDO LLP UK, Technology Risk Assurance

Managing a £4M p.a. revenue-generating Audit Data Analytics stream. Pioneering responsible AI application in Audit, Risk Analytics and back-office operations. Created AI strategy for TRA team, drafted AI auditing framework, and lead piloting of AI products including Microsoft Copilot and in-house developed AI tools.

  • Key member of global AI and Emerging Tech workstream
  • Founding member of UK TRA Emerging Tech team
  • SME for Quality, Governance and Data Policy Compliance
  • DEI lead for Tech team of 300+ individuals
2017 - 2023

Manager/Consultant - Data Analytics

BDO LLP UK, Technology Risk Assurance

Led distributed team of 40+ data professionals across UK and Mauritius. Grew data analytics team from 8 to 40 members over 6 years, establishing BDO's Data Centre of Excellence. Expanded client base tenfold from 250 to 2500 clients.

  • Developed comprehensive Audit Data Analytics Workflow
  • Implemented system of quality management exceeding industry standards
  • Achieved ISQM-1, ISO 9001, and UK GDPR compliance
2014 - 2017

Senior Associate/Associate - Data Assurance

PwC UK, Birmingham

Data Analytics and Risk Assurance Expert specializing in data visualization and dynamic dashboard design. Integrated diverse data sources to deliver actionable insights across multiple industries.

  • Developed Credit Risk and Revenue Maximisation models
  • Created VBA-backed financial model saving 6 weeks of manual labour
  • Implemented SAP Controls Scorecard for multinational client
  • Designed Power BI dashboard for Twitter data analysis
2011 - 2013

Team Lead - Data Centre / Ops Data Manager

Arik Air Ltd., Lagos

Ops Manager & Data Analytics Lead for airline operations. Directed data operations and business analytics, providing critical insights for operational, financial, and commercial decision-making.

  • Created baggage irregularities database
  • Led network profitability analysis
  • Represented company in IATA Co-ordination Group
  • Led multi-stakeholder aircraft purchase project

Education & Certifications

Continuous learning and professional development

MSc Aerospace Vehicle Design

Cranfield University, UK

2013 - 2014

Distinction

BSc Hons. Aerospace Engineering

KNUST, Ghana

2006 - 2010

1st Class Honours

Professional Certifications

Google
Responsible AI: Applying AI Principles with Google Cloud
2023
DeepLearning.AI
LangChain Chat with Your Data
2023
DeepLearning.AI
Generative AI with Large Language Models
2023
DeepLearning.AI
ChatGPT Prompt Engineering for Developers
2023
Microsoft
Professional Certification in Artificial Intelligence
2018
Microsoft
Professional Certification in Data Science
2018

Skills & Expertise

Technical proficiency and leadership capabilities

Leadership & Strategy

Strategic Leadership
Team Management
Project Management
Stakeholder Management

AI & Machine Learning

Deep Learning & Neural Networks
Machine Learning
MLOps
Prompt Engineering

Data Analytics & Visualization

Data Analytics
Data Visualization
Predictive Modelling
Statistical Analysis

Programming & Tools

Python
SQL
Power BI
Tableau
Jupyter
Azure ML
Scikit-Learn
Pandas

Publications & Articles

Thought leadership and industry insights

Nov 2024

Understanding AI: what is – and isn't – artificial intelligence?

ICAEW Insights

Comprehensive guide to understanding artificial intelligence, its capabilities, limitations, and implications for the accounting and finance profession.

Read Article
Jul 2024

The EU AI Act: The key takeaways

BDO (co-authored)

Analysis of the European Union's AI Act and its implications for businesses operating in the AI space.

Read Article
Jun 2024

Generative AI, Web-scraping and Privacy: Some To-dos, Maybes & Don'ts

Medium

Exploring the intersection of generative AI, web scraping technologies, and privacy considerations in the modern data landscape.

Read Article
Mar 2024

The History of Artificial Intelligence: From Ancient myths to Modern machines

The AI Accelerator Institute (AIAI)

A comprehensive journey through the evolution of artificial intelligence from its mythological origins to contemporary applications.

Read Article
Oct 2023

Multimodal LLM Security, GPT-4V(ision), and LLM Prompt Injection Attacks

Medium

Deep dive into security considerations for multimodal large language models and emerging attack vectors.

Read Article
Apr 2023

MNIST Image Digit Recognition with ChatGPT

Google Colab

Practical implementation of image recognition using ChatGPT for solving the classic MNIST digit recognition problem.

Read Article

Get In Touch

Let's discuss AI, data analytics, or collaboration opportunities

Email

Email available upon request

Phone

Phone number available upon request

Location

London, United Kingdom