In the age of AI, data can create a significant strategic advantage for your organization.
I help businesses maximize the value of their data assets while protecting privacy.
I work with CEOs, investors, and leadership teams to unlock the value of enterprise data through practical AI strategy, thoughtful data monetization, and strong data governance.
Todd Lowenberg, former Mastercard executive and founder of Lion Mountain Analytics
Who I work with
I partner with organizations that recognize data is central to their business but need help realizing its full value.
Mid-market companies ($50M–$500M)
Private equity firms and portfolio companies
Leadership teams navigating AI, data, and risk
Core Solutions
AI & Data Strategy
Most companies use a fraction of the data they generate. In the age of AI they will be left behind.
Clear roadmap
Prioritized use cases
Business/tech alignment
Data Monetization
Many organizations sit on valuable data but lack a strategy to turn it into revenue.
New revenue opportunities
Data products
Pricing models
Data Governance & Risk
As AI adoption increases, so do risks around data usage and privacy.
Governance frameworks
Risk mitigation
Data quality
Private Equity Advisory
I work with private equity firms and portfolio companies to assess and improve their data and analytical capabilities and evaluate the upside of AI deployments.
Data due diligence
Value creation
Post-acquisition strategy
How I Work
I provide an independent perspective grounded in decades of global experience:
Strategy assessments (3–6 weeks)
Executive advisory roles
Private equity portfolio company due diligence
Fractional Chief Data Officer / AI advisor roles
Why this matters
AI is accelerating the importance of data.
Most organizations are not prepared.
The companies that will outperform in the AI age:
Understand their data and actively manage it as an asset
Apply AI in targeted ways with clear-eyed success metrics
Manage data governance effectively
About me
Todd Lowenberg
I have spent more than 35 years working in systems integration, analytics, and data product management across global organizations, including responsibility for data product P&Ls and leading and motivating high-performing teams around the world.
Most recently, I spent 20 years at Mastercard, where I played a central role in building and scaling the company’s global information and analytics business. My work included developing data-driven products, expanding analytical capabilities, and helping thousands of stakeholders in the Mastercard network to leverage data as a strategic asset.
I am a named inventor on 16 patents focused on data optimization, analytics, and data privacy, including data anonymization.
Throughout my career, I have focused on solving complex data challenges and translating technical innovation into practical business applications that deliver measurable value.
My experience spans data strategy and architecture, analytics, AI, product development, data governance, and data privacy.
I am based in New York, USA with global availability.
I am a native English speaker. I also speak fluent German.