Serge Billiouw, Management Consultant in Bernardsville, NJ, United States
Serge is available for hire
Hire Serge

Serge Billiouw

Management Consulting Expert

Bernardsville, NJ, United States

Toptal member since March 2, 2026

Bio

Serge is an enterprise data and AI executive with 25+ years of experience leading large-scale digital and AI transformations. He's been a trusted advisor to CEOs and boards, aligning AI strategy, governance, and operating models to measurable growth. Serge translates ML and Generative AI into revenue-generating products and operational gains. He facilitates executive AI workshops, helping leadership teams turn AI ambition into focused, ROI-driven roadmaps.

Career Highlights

Strategic Data and AI Consultant
Apex Consultancy Group

Certification Highlights

Change Management
ExperiencePoint
What is Data Science?
IBM | via Coursera

Case Studies

Expertise

  • Analytics
  • Artificial Intelligence (AI)
  • Cloud
  • Data
  • Data Strategy
  • Digital Transformation
  • Generative Artificial Intelligence (GenAI)
  • Google Cloud Platform (GCP)

Work Experience

Strategic Data and AI Consultant

2024 - PRESENT
Apex Consultancy Group
  • Partnered with executive teams to define enterprise AI and digital transformation strategies, translating ambiguous priorities into actionable roadmaps, operating models, and governance structures.
  • Designed and facilitated executive AI workshops for senior leadership teams, aligning vision, accelerating AI literacy at the C-suite level, and driving organizational commitment to AI-native transformation.
  • Advised executives on emerging AI/ML/GenAI technologies, providing structured recommendations that inform strategic investment decisions and enterprise AI roadmaps.
Focus areas: Data, Analytics, Cloud, Artificial Intelligence (AI), Generative Artificial Intelligence (GenAI), AI Consulting, AI Adoption, AI Automation, Business Strategy

VP of Data, Analytics, and Digital Transformation

2020 - 2024
Breezeline
  • Defined and executed enterprise AI/ML/GenAI strategy, aligning with C-suite priorities and enabling measurable business transformation, and positioning the organization as an AI-forward enterprise.
  • Spearheaded revenue-generating AI initiatives, including customer lifetime value modeling, churn prediction, and AI-powered personalized marketing programs, directly contributing to top-line growth.
  • Led enterprise digital transformation from legacy infrastructure to a cloud-native architecture, enabling enterprise-scale AI experimentation and unlocking advanced analytics capabilities.
  • Built and scaled a high-performing 20+ person AI/analytics organization, establishing governance, delivery, and enablement practices aligned with measurable business outcomes.
  • Delivered GenAI-powered solutions (customer service automation, intelligent document processing) that demonstrated tangible business value while adhering to compliance and governance standards.
  • Established a responsible AI framework and governance guardrails, ensuring compliance with regulatory standards and bias-mitigation practices across all AI solutions.
Focus areas: Digital Transformation, AI & Advanced Analytics Strategy, Cloud Data Platforms, Business Intelligence (BI), Churn Analysis, Operational Analytics, Talent Management, Vendor Management, Governance, AI Consulting, AI Adoption, AI Automation, Business Strategy

Adjunct Professor

2022 - 2023
Endicott College
  • Educated and inspired future professionals on data mining, Business Intelligence, and AI, translating complex technical concepts into accessible knowledge.
  • Integrated real-world executive case studies on AI operating models, Responsible AI, and digital transformation.
  • Facilitated applied projects bridging academic theory with live industry challenges.
Focus areas: Business Intelligence (BI), Data Analytics, Artificial Intelligence (AI)

Chief Data Officer and Co-owner

2013 - 2020
The Brand Seeders
  • Co-founded and scaled an AI-powered consumer intelligence platform, commercializing behavioral prediction models that generated recurring revenue for clients spanning startups to global multinationals.
  • Drove brand-building and revenue growth for marquee clients (Samsung, KIA, Top Gear) through AI-powered insights and high-impact digital transformation campaigns.
  • Developed a SaaS analytics platform for the world's largest out-of-home (OOH) advertising company, enabling real-time campaign optimization based on live trends, consumer behavior, and location data, improving campaign performance by over 20%.
Focus areas: Big Data, Artificial Intelligence (AI), Business Intelligence (BI), Business Strategy

Education

2012 - 2013

Graduate Diploma in Executive Education

McGill University - Montreal, Canada

1996 - 1997

Master’s Degree in Business Administration (MBA)

Vlerick School of Management - Ghent, Belgium

1991 - 1996

Master's Degree in Political Science

University of Ghent - Ghent, Belgium

Certifications

FEBRUARY 2024 - PRESENT

Applying AI Principles with Google Cloud

Google

APRIL 2023 - PRESENT

Change Management

ExperiencePoint

JANUARY 2023 - PRESENT

Data Engineering Foundations

LinkedIn

JANUARY 2023 - PRESENT

What is Data Science?

IBM | via Coursera

Skills

Finance

Business Intelligence (BI)

Other

Data, Artificial Intelligence (AI), Generative Artificial Intelligence (GenAI), Digital Transformation, Analytics, AI Consulting, AI Adoption, Google Cloud Platform (GCP), Cloud Migration, Cloud, AI Automation, Business Strategy, Data Strategy, Systems Thinking, Stakeholder Analysis, Quantitative Analysis, Persuasion, Policy, Scenario Analysis, Corporate Strategy, Financial Analysis, Capital Allocation, Operational Modeling, Change Management, Growth Strategy, Performance Management, Competitive Strategy, Go-to-market (GTM) Strategies, Executive Decision-Making, Strategic Leadership, Corporate Governance, Enterprise Risk Management (ERM), Stakeholder Mapping, Organizational Effectiveness, Executive Communication, AI & Advanced Analytics Strategy, Cloud Data Platforms, Churn Analysis, Operational Analytics, Talent Management, Vendor Management, Governance, Organizational Readiness, Stakeholder Engagement, Change Leadership, Change Communication, Cross-functional Collaboration, Consensus Building, Big Data, Google Cloud, Data Analytics, Data Science, Data Engineering

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring