Executive Data Enablement · AI Data Readiness

Turning complex data into enterprise momentum.

I build the strategies, operating models, platforms, governance, and leadership capabilities that transform fragmented data into trusted, AI-ready enterprise assets—aligning business, technology, risk, and regulatory leaders around measurable outcomes.

Explore my work LinkedIn ↗

200+Executive advisory engagements

75+Strategy workshops delivered

40+Thought-leadership events

Multi-MillionAnnual run-rate savings enabled

What I build

Trusted foundations for ambitious AI.

I connect executive vision to operating reality—aligning business, technology, risk, and regulatory leaders around measurable outcomes.

Enterprise Data & AI Strategy

Practical roadmaps that make data reliable, accessible, and ready for analytics, machine learning, generative AI, and agents.

Governance that Enables

Operating models, ownership, quality, metadata, lineage, privacy, and responsible AI controls designed for adoption and speed.

Transformation Leadership

Cross-functional teams and change programs that turn policy into durable behavior, measurable value, and enterprise trust.

Career

Builder. Operator. Executive advisor.

Leadership across consulting, enterprise software, consumer technology, and global infrastructure—including regulated environments.

2025—PresentPartner & Head of AI StrategyOrtecha · London, UK+

Hold executive accountability for AI strategy, practice growth, market positioning, client outcomes, revenue generation, and scalable data and AI advisory offerings.
Define enterprise strategies that create reliable foundations for analytics, machine learning, generative AI, and agentic AI.
Modernize governance, architecture, metadata, quality, observability, and automation to reduce complexity and accelerate value.
Own P&L responsibilities and serve on Ortecha’s Operational Board, helping drive firm strategy.
Previously served as Senior Advisor, developing AI services, codifying leading practices, and advising leadership teams on scalable adoption.

2022—2025VP, Data & AI Strategy · Data Advisory LeaderBigID · New York, NY+

Advanced through Director, Senior Director, and Vice President roles while building Data Advisory into a strategic growth and customer-value capability.
Delivered 200+ executive advisory meetings and 75+ workshops supporting prospect conversion, adoption, renewals, expansion, and measurable value realization.
Served as executive sponsor for strategic customers, reducing churn exposure across millions in annual recurring revenue.
Influenced product direction by securing design partners, validating AI and governance use cases, and translating customer priorities into roadmap decisions.
Created 20+ best-practice assets and delivered 40+ thought-leadership events spanning AI, data strategy, governance, security, privacy, and ROI.
Led BigID to become the first DSPM, data security, and privacy solution certified on EDM Council’s DCAM framework.
Led industry data-product work with EDM Council and collaborated with more than 20 companies on a management framework.

2018—2022Head of Data EnablementBose Corporation · Framingham, MA+

Owned enterprise strategy and execution across analytics, data science, machine learning, governance, architecture, data platforms, quality, accessibility, and compliance.
Established the enterprise Information Assets standard and metadata system of record, accelerating governed data discovery and use-case delivery.
Enabled AI, ML, and advanced analytics across sales, marketing, operations, and product development, reducing product-development cycle time by six weeks.
Built connected customer and product data models that compressed product releases from six months to one month.
Maintained zero consumer-data compliance incidents over 18 months through close partnership with Privacy, Legal, Security, Audit, and Compliance.
Built and led the Data Enablement team, increasing information assets under management 300% in two quarters.

2016—2018Enterprise Data Strategist & Chief Data StewardDell Technologies · Hopkinton, MA+

Owned enterprise information-governance architecture and strategy and served as Chief Data Steward for the Business Intelligence Center and enterprise data lake.
Developed strategy across people, process, technology, budget, roadmaps, resource models, and tools to establish foundational analytics capabilities.
Drove cross-functional adoption, communication, and training, increasing governance process and tool adoption by 100%.
Applied master-data practices to critical information assets across business-intelligence platforms to improve quality and trust.
Invented and operationalized U.S. Patent 10,521,442, Hierarchical Value-Based Governance Architecture, as a framework for enterprise information assets.

2011—2016Data Strategist · Senior Engineering ManagerEMC² · Hopkinton, MA+

Owned engineering strategy for enterprise data-lake architecture, governance, operations, and adoption, creating a foundation for advanced analytics and trusted data use.
Managed business-value cases and governance frameworks that improved decision-making and actionable insight.
Delivered an award-winning data-lake and governance strategy, productionizing customer-data capabilities and enabling cross-functional analytics summits.
Led international, multi-lab engineering operations and business services, increasing virtualization and delivering more than $2 million in run-rate savings.
Transformed support, vendor-management, and operational-excellence programs to reduce cycle time and deliver millions in additional savings.

Earlier careerEnterprise Technology & Operations LeadershipProgressive executive roles+

Vice President, Enterprise Systems and Operations.
Vice President, North America IT/IS and Global IS Projects.
Information Systems Executive.

Education

Master of Business AdministrationSouthern New Hampshire University · Salem, NH

Bachelor of Science in Business AdministrationNortheastern University · Boston, MA

Associate of Science in FinanceNortheastern University · Boston, MA

Selected credentials

Inventor. Practitioner. Continuous learner.

A patented approach to value-based data governance, supported by selected credentials in data management, monetization, analytics, and agile leadership.

U.S. Patent 10,521,442 · Inventor

Hierarchical Value-Based Governance Architecture for Enterprise Data Assets

A governance system that integrates technical and business metadata within a data asset catalog, generating analytics actions and actionable insights for enterprise data assets.

View patent record ↗

DCAM Certified V3EDM Council

December 2025

CDMC Certified V1EDM Council

May 2023

Certified Data MonetizerYDC

March 2022

Tackling the Challenges of Big DataMIT · edX

March 2015

Certified ScrumMasterScrum Alliance

November 2012

Publications & media

Ideas shared in the room—and beyond it.

Books, research, articles, podcasts, webinars, and events focused on making data and AI work at enterprise scale.

LinkedIn article · September 2026

“Good governance is not the finish line. It is the operating system that lets innovation move faster—with trust.”

Stephen Gatchell

Trusted foundations for ambitious AI.

Enterprise Data & AI Strategy

Governance that Enables

Transformation Leadership

Builder. Operator. Executive advisor.

Education

Inventor. Practitioner. Continuous learner.

Hierarchical Value-Based Governance Architecture for Enterprise Data Assets

Ideas shared in the room—and beyond it.

How Exactly Do You Slow Down AI—Never Mind Pause It?

Introducing Swarm Intelligence

AI Governance That Doesn’t Kill Innovation

Turning Enterprise Complexity into Real Outcomes

AI Has Entered Its National Security Era

What Does Governance for Responsible AI Entail?

The AI Transformation

Why Enterprise AI Strategies Fail

Automated Data Management

Swarm Intelligence

From AI Pilots to Pole Position

Your Data Isn’t Ready for AI—and Your Customers Already Know

AI in Healthcare: From Hype to Hard Problems

Securing AI Systems: From Training Pipelines to Production

When AI Has to Grow Up

The Rule of Three for Data & AI Investments

How MDM and AI Are Evolving Together

The Data Governance Gap Blocking AI Production

Challenges and Considerations in Deploying AI Agents

The Power of Clean Data

Data Democratization for AI

Virginia Datathon Judge

The Data Whisperer

Data Literacy in Industry

What Does GenAI Say About 2024 Data Breaches?

Pitching Your GenAI Project

Analytics for Business Success

CDO Insight: Past, Present & Future

Why Metadata Is a Strategic Asset

What Is Data Governance and Why You Should Care

Data Literacy Is a Mindset

Data Governance Planning Criteria

Policies