AI PRODUCT STRATEGY · VOICE OF CUSTOMER · ENTERPRISE AI

Information Builders

Pre-sales & CoE Program Manager

At Information Builders, I grew from Pre-Sales Engineer to Head of AI Architecture within Strategy Services. I worked at the intersection of customer needs, product strategy, and emerging AI capabilities — helping modernize the product portfolio, shape AI offerings through voice-of-customer insights, and make machine learning more accessible to business users.

Scope and responsibilities

My role evolved from helping customers understand and apply enterprise technology to shaping how AI could become a more meaningful part of the product portfolio. Within Strategy Services, I connected customer feedback and market needs with product opportunities, helping translate AI concepts into practical offerings and customer-facing solutions.

This meant working across technical pre-sales, product strategy, customer demonstrations, proofs of concept, and AI architecture. The focus was not simply on introducing AI, but on identifying where it could solve real customer problems and create business value.

Selected projects and contributions

APPLIED AI

Self-service machine learning

Contributed to an AI offering designed to make machine-learning model development more accessible to business users, reducing reliance on specialized technical expertise.

Model development Business user accessibility Simplified ML workflows
AI democratization
CUSTOMER SOLUTIONS

Customer demonstrations & proofs of concept

Worked directly with customers to demonstrate AI capabilities, explore practical use cases, and validate how emerging technology could address real business requirements.

Use-case validation Technical proofs of concept Client demonstrations
From concept to application

What I learned

This chapter reinforced the importance of starting with the customer problem rather than the technology. Working across pre-sales, strategy, and AI architecture gave me a practical understanding of how customer conversations inform product decisions — and how to distinguish promising AI capabilities from those that deliver meaningful business value.

It also shaped the way I approach AI leadership today: combine customer-led innovation with an understanding of where the industry is heading, then translate that perspective into practical product direction.

Outcomes and impact

My contributions centered on AI product direction, customer-informed portfolio modernization, and making machine-learning capabilities more accessible. I have not included numerical impact claims because no verified metrics are available in the current career notes.