Helen Adepoju

AI Program Manager
Lagos, NG.

About

Highly accomplished AI Program Manager with a proven track record in driving enterprise-scale adoption, deployment, and commercialization of GenAI and other advanced technologies. Expert in aligning cross-functional teams and C-level stakeholders, translating complex technical initiatives into strategic business insights. Consistently delivered significant business impact, including over $1M in retained revenue and $0.4M+ in annual revenue through data-driven strategies across tech, finance, and consulting sectors.

Work

SAP SE
|

Business AI Program Manager

Walldorf, Baden-Württemberg, Germany

Summary

Currently leading strategic initiatives at SAP, orchestrating C-level alignment and delivering critical reports to drive significant annual revenue targets.

Highlights

Orchestrated C-level alignment across 10+ departments (Go-to-Market, Product, Commercial, Marketing), driving execution toward a $164M annual revenue target.

Delivered quarterly reports to the SAP Executive Board, translating technical achievements and market positioning into strategic business insights.

SAP SE
|

AI Strategy Consultant, Business AI

Walldorf, Baden-Württemberg, Germany

Summary

Shaped the company's AI Agent Product and commercialization strategy, ensuring legal and technical alignment across AI systems.

Highlights

Contributed to the AI Agent Product and commercialization strategy, shaping the company's go-to-market approach for next-gen AI solutions.

Developed enterprise AI policy guidance on foundation model (LLMs) governance and ethical customer data use with privacy-enhancing technologies (PETs), enabling legal and technical alignment across AI systems.

Ernst & Young
|

Management Consultant, Strategy and Transformation

Lagos, Lagos, Nigeria

Summary

Led diverse transformation projects and strategic initiatives, significantly impacting client revenue, operational efficiency, and skill development.

Highlights

Developed a cross-border Machine Learning (ML) segmentation model for a multinational bank, reducing customer churn by 20% across 11 countries and generating $1M in retained revenue.

Directed transformation projects for a $1.5B oil & gas company and sustainable agriculture across 20+ countries, scaling technology-enabled innovation.

Re-engineered AFDB's public sector contract procurement, reducing fraud and operational costs by 30% through process redesign.

Founded a 300+ member data & analytics community to accelerate AI skill development across EY, earning recognition with the EY Women in Tech Global Young Leader award.

PwC
|

Management Consultant, Analytics Transformation

Lagos, Lagos, Nigeria

Summary

Spearheaded advanced analytics and cloud migration solutions, driving significant revenue growth, customer retention, and cost savings for major clients.

Highlights

Spearheaded development for a major financial institution, driving a 30% increase in revenue and customer retention through personalized offerings.

Implemented a predictive model reducing attrition and preserving over $0.4M in annual revenue through data-driven retention strategies.

Built a cloud migration solution processing 5M+ customer records for a healthcare insurer, accelerating analytics with 90%+ data integrity.

Created an SQL-based solution for an FMCG client, reducing financial leakage by over 20% and delivering $0.1M cost savings within six months.

Venture Garden Group
|

Software Engineer & Business Analyst

Lagos, Lagos, Nigeria

Summary

Led digital transformation initiatives, managed product requirements, and developed API solutions, contributing to significant revenue generation.

Highlights

Led PowerTech Business unit rebranding, increasing website traffic within 2 weeks of implementation through a digital transformation strategy.

Gathered business and functional requirements for a Finance management product using agile user stories and JIRA task management for a 5-developer team.

Delivered a web authentication API solution for login/sign-up credentials under tight project deadlines.

Generated customer insights, driving feature development for a $1M revenue-generating fintech solution through data-driven product strategy.

Education

Lagos Business School
Lagos, Lagos, Nigeria

Certificate

Management

Ladoke Akintola University of Technology
Ogbomosho, Oyo, Nigeria

BTech.

Medical Physiology

Grade: Graduated with distinction (top 5 in class)

Awards

EY Women in Tech Global Young Leader

Awarded By

Ernst & Young

Recognized for accelerating AI skill development across EY and leadership in technology.

Forbes 30 Under 30 Fellow

Awarded By

Forbes

Recognized as a prominent young leader.

Young African Leaders Fellow

Awarded By

YALI

Recognized as a young African leader.

Diverse Intelligence Summer Institute (DISI) Fellow

Awarded By

DISI

Fellowship for diverse intelligence.

Total E&P Full Academic Scholarship

Awarded By

Total E&P

Awarded for academic excellence during university studies.

Publications

Predicting thyroid dysfunction with Machine Learning

Published by

Deep Learning Indaba

Summary

Poster Presentation on using Machine Learning to predict thyroid dysfunction.

The importance of Exploratory Data Analysis in Machine Learning

Published by

PyCon USA

Summary

Speaking Engagement on the significance of EDA in ML workflows.

Teamwork in building a community of developers

Published by

Google Community Developers Conference USA

Summary

Speaking Engagement discussing collaborative approaches to fostering developer communities.

How Data Science is solving life-threatening problems in Africa

Published by

PyCon Nigeria

Summary

Speaking Engagement highlighting data science applications for critical challenges in Africa.

Step-by-step tutorial on coding a neural network logistic regression from scratch

Published by

Medium

Summary

Blog post with over 15K+ reads, providing a detailed guide to implementing neural network logistic regression.

A Comparative Study of Thyroid Dysfunction Prediction Using Machine Learning

Published by

Ladoke Akintola University

Summary

Academic paper on comparative analysis of ML models for thyroid dysfunction prediction.

Languages

English
German

Certificates

AWS Cloud Practitioner

Issued By

Amazon Web Services (AWS)

Microsoft Certified - Azure Data Fundamentals

Issued By

Microsoft

Skills

Stakeholder Management

Stakeholder Engagement, Cross-functional Collaboration.

Program Management

Project Management, Agile Methodologies, Scrum, JIRA.

Data Analytics

Data Analysis, Predictive Modeling, SQL, Machine Learning, Statistical Analysis.

Strategy

Business Strategy, Digital Transformation Strategy, Go-to-Market Strategy, Innovation Scaling.

Business Transformation

Process Redesign, Organizational Change Management, Operational Efficiency.

Machine Learning

ML Segmentation Models, Predictive Analytics, Natural Language Processing (NLP), Deep Learning, Scikit-learn, Numpy, Pandas, Python.

Digital Transformation

Cloud Migration, API Development, AI Governance, GenAI, Foundation Models (LLMs).

Cloud Platforms

AWS, Azure.

Data Tools

SQL, Power BI.

Professional Training

Google Project Management Course, Stanford University Machine Learning, Udacity Data Analyst Nanodegree, Udacity Introduction to Generative AI with AWS, IBM Data Analysis with Python.

References

Dagmar Schaeffner

COO, Business AI at SAP | Email: dagmar.schaeffner@sap.com

Sean Kask

Chief AI Strategy Officer, SAP | Email: sean.kask@sap.com

Projects

Free Coding Workshops for Women

Summary

Organized and led free coding workshops for women in Ghana and Nigeria.

Career Compass (GenAI for Career Planning)

Summary

Developed a Generative AI tool using AWS PartyRock for career planning.

Telecoms Churn Prediction

Summary

Built a predictive model to forecast customer churn in the telecommunications sector.

High School Student Performance Prediction

Summary

Participated in a Kaggle competition to predict high school students' performance.

Natural Language Processing for Emotion Prediction

Summary

Personal project focused on using NLP to predict emotions from audio files.