DATA & AI
PRODUCT LEADER

Connecting enterprise BI, ERP, and governed data products to production-safe AI.

AI platforms, RAG, vector search, governed analytics

I build and run the systems that sit between operations, finance, and decision-making. That means enterprise reporting you can trust, data quality that holds up under pressure, and AI features that can safely touch real workflows.

Boston, MA · Architecting Enterprise Systems, Data Governance, & Applied AI

Recent Writing

Short, practical notes on how to modernize reporting, govern data in messy environments, and ship AI features without breaking trust.

The gap between AI demos and production systems
AI Strategy

The gap between AI demos and production systems

Most AI efforts fail in the handoff from prototype to operations. The fix is not a better model. It's governance, observability, and contracts that survive real workflows.

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Reporting people actually use
Operating Model

Reporting people actually use

The fastest dashboards still fail if the data is not trusted. The playbook is definition control, quality gates, and a release process that treats reporting like a product.

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Shipping AI without breaking trust
AI Strategy

Shipping AI without breaking trust

AI features that ship without breaking user trust share a common pattern: they make their reasoning visible, fail gracefully, and give users a way out.

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Philosophy

Data, Systems, and Execution

I work at the seam where operations, finance, and technology collide. My job is to make systems reliable, metrics defensible, and new capabilities safe to ship. That includes modern analytics, automation, and AI, but the priority is always the same: business outcomes you can stand behind.

Strategy

Systems win when they are designed around decisions. I map KPIs to workflows, define metrics once, and build reporting and automation that stays correct as the business changes.

Scale

I modernize legacy environments without breaking the business. That means staged migrations, governed datasets, quality gates, and interfaces that let domain teams move faster with fewer surprises.

Impact

I tie engineering to outcomes: cycle-time reduction, cost removal, and fewer manual steps. The goal is a business that can answer questions fast, act confidently, and audit how decisions were made.

Core Stack & Integrations

The platforms, tools, and pipelines I orchestrate to connect enterprise operations to actionable data and production AI.

SlackFigma
CARTA
TeamsPostmanLinearPowerBIAzureTableauMiroRailway
MERMAID
NetlifyMakeSnowflakeHubSpotn8nSubstackDockerNotion

Selected Projects

Real systems work. Governance, reporting trust, automation, and AI features that can survive production constraints.

INTERACTIVE SANDBOX

DATA SYSTEMS COMMAND CENTER

Cinematic portfolio environment for governed analytics, data operations, pipeline automation, and operating intelligence.

  • Cinematic portfolio command center
  • Links to staged project environments
  • Built for screen-share walkthroughs

DATA & ANALYTICS OPERATIONS

D&A OPERATIONS COMMAND CENTER

Interactive operations dashboard demonstrating how a service owner manages end-to-end D&A operations in a managed services model. Five operational views cover the full scope of data and analytics service delivery.

  • 5 operational tabs
  • 12 interactive charts
  • 34 simulated backlog items
  • Dark theme optimized for screen share

GOVERNED DATA PRODUCT

REVENUE DATA PRODUCT

Governed, finance-grade revenue dataset on the Databricks Lakehouse with a published data contract and blocking data quality gates.

  • Azure SQL star schema to Databricks Lakehouse
  • Published data contract
  • Blocking data quality and reconciliation gates
  • Run-log and SLA health tracking
  • Power BI-ready silver table
ProfilesLinkedInGitHubSubstackKaggleTableau Public