Enterprise AI platforms
Designing AI-powered analytics and decision intelligence platforms that connect LLMs, semantic search, and enterprise data.
Data & AI architecture for better decisions.
Connecting data platforms, AI, and enterprise architecture to turn complex information into useful products. Work spans strategy through delivery, focusing on systems teams can adopt and operate.
12+ years across data, AI engineering, architecture, and decision systems.
Currently leading AI-powered analytics and decision intelligence architecture at Mars.
Experience across Azure, Google Cloud, LLM-driven systems, search, and enterprise analytics.
Data and cloud architecture
Building business-aligned systems across Azure, Google Cloud, modern analytics stacks, and scalable data ecosystems.
Human-centered decision systems
Creating systems that augment expert judgment, improve compliance and collaboration, and support better decisions at scale.
Capabilities across technical strategy, data and AI engineering, and delivery leadership.
- Enterprise architecture
- AI and decision intelligence
- Data platforms and products
- Azure and Google Cloud
- LLM systems and retrieval
- Analytics modernization
- Platform delivery
- Stakeholder leadership
Work across enterprise leadership, analytics products, and platform architecture.
Mars, Fractal, Mu Sigma
Data & AI Architect, Mars
2024 - PresentLeading the architecture and delivery of AI-powered analytics and decision intelligence platforms that unify data, research, compliance, and business strategy.
Senior Data Products Lead, Mars
2022 - 2024Focused on data products, platform delivery, and scaling analytics capabilities across enterprise environments.
Fractal and Mu Sigma leadership roles
2014 - 2022Built advanced analytics systems, enterprise data platforms, and large-scale delivery practices across retail, digital, and operational domains.
Business goals guide the architecture, and delivery stays close to the people who will operate the result—making it useful in practice and governed by design.
Business-aligned architecture
Technology decisions matter most when they map clearly to business outcomes, adoption, and long-term operational value.
Outcomes first
Scalable, responsible deployment
AI and data systems need strong foundations in governance, delivery, and platform design to be sustainable.
Governance built in
Human-machine partnership
The best intelligent systems amplify expert judgment, improve collaboration, and help organizations move with more confidence.
People stay accountable
Representative areas of work across AI, data products, and analytics modernization.
Focus area
Enterprise AI and decision intelligence
Architecting AI-powered analytics platforms that connect enterprise data, semantic retrieval, and large language models.
Focuses on helping teams bring research, compliance, and business context together for more informed decisions.
- Architecture and delivery of AI-powered analytics and decision intelligence platforms at Mars.
- Work spans enterprise data, semantic search, and LLM-driven systems.
Focus area
Data products and cloud architecture
Building business-aligned data products and scalable analytics foundations across Azure, Google Cloud, and enterprise platforms.
Provides governed, reliable foundations for reporting, analytics products, and AI workloads.
- Led data product and platform delivery work at Mars from 2022 to 2024.
- Experience includes enterprise data platforms and analytics systems across retail, digital, and operational domains.
Focus area
Analytics modernization and platform delivery
Leading analytics and platform initiatives across product, architecture, and delivery teams.
Emphasizes scalable platform design, governance, and alignment between analytics capabilities and business needs.
- Built advanced analytics systems, enterprise data platforms, and large-scale delivery practices at Fractal and Mu Sigma from 2014 to 2022.