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Opetunde Adepoju

@opetundeadepoju

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I build AI-enabled growth strategies and enterprise transformations for global organizations.

Germany

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What I'm looking for

I’m looking to lead AI-enabled strategy, growth, and transformation work where I can turn market and operational data into executive decisions and scalable business outcomes.

At SAP, I turn Business AI, market signals, and operational data into executive-level strategy—supporting Board QBRs, indirect-channel growth planning, and AI enablement across PES Operations.

Previously at EY, I led transformation workstreams for a bank’s five-year strategy refresh, helping drive a 30% increase in technology investment, and implemented a machine-learning segmentation model across 11 countries that reduced customer churn by 20%. I also founded EY Nigeria’s 300+ member Data & Analytics community, creating training and knowledge-sharing programs recognized through the EY Women in Tech Global Young Leader award.

My experience across PwC, Venture Garden Group, and research spans recommendation engines, customer prediction models, ETL pipelines, fintech product requirements, and machine-learning diagnostics. I enjoy translating complex data, emerging AI, and operational realities into practical decisions that leaders can act on.

Experience

Work history, roles, and key accomplishments

AI Transformation &Operations specialist

SAP

Feb 2025 - Aug 2026 (1 year 6 months)

Moderated QBRs for Business AI to the Executive Board, synthesizing operational data across 11 workstreams. Designed indirect channel strategy targeting 30% of a $365bn market opportunity and developed AI evaluation frameworks.

Market Sizing Strategy AI Business AI SAP Joule Executive Communication Stakeholder Management Program Management

Management Consultant

Ernst & Young

Jan 2023 - Oct 2024 (1 year 9 months)

Led people and platform transformation workstreams for a corporate strategy refresh, increasing technology investment by 30%. Implemented ML segmentation models and coordinated multi-country transformation programs.

Business Transformation Machine Learning Data Analytics Stakeholder Management Project Management Strategy Regulatory Compliance

Analytics & Operations Consultant

PricewaterhouseCoopers

Nov 2020 - Nov 2022 (2 years)

Built AI-powered recommendation engine and ETL pipelines for clients, driving revenue growth and data integrity. Delivered training on analytics methodologies and created SQL-based monitoring systems.

AI Machine Learning ETL SQL Python AWS Data Analytics Recommendation Systems Customer Segmentation Predictive Analytics

Software Engineer/Business Analyst

Venture Garden Group

Oct 2019 - Oct 2020 (1 year)

Gathered requirements for a finance management product and used JIRA to manage tasks for developers. Delivered a web API solution for authentication and generated insights from customer data.

Business Analysis Requirements Gathering Jira Web APIs SQL Data Analysis

ML Research Assistant

Ladoke Akintola University of Technology

Jan 2018 - Nov 2018 (10 months)

Developed an automated diagnostic system for thyroid dysfunction using machine learning. Presented research on NLP for predicting illness relapse at a conference.

Python Machine Learning SVM Decision Trees NLP Word2Vec Logistic Regression scikit learn NumPy Matplotlib

Education

Degrees, certifications, and relevant coursework

Udacity

Master's Degree, Artificial Intelligence

2025 -

Pursuing a Master-level Program in Artificial Intelligence, covering Python, SQL, Generative and Agentic AI, and Product Management.

Stanford University

Certificate, Machine Learning

2017 -

Completed an online course in Machine Learning.

Udacity

Nanodegree, Data Science

2017 -

Completed online courses in GenAI with AWS and Data Analyst Nanodegree.

Ladoke Akintola University of Technology

Bachelor of Technology, Medical Physiology

2013 - 2018

Grade: 4.2/5.0

Activities and societies: Total E&P Full Academic Scholarship recipient

Graduated with distinction, ranking top 5 in a class of over 120 students. Thesis focused on comparative study of thyroid dysfunction prediction using machine learning.