Glen Sewell

Enterprise Data, Analytics & AI Governance Consultant

I help organizations establish trusted data foundations, operationalize responsible AI, strengthen governance, and meet regulatory expectations in complex, regulated environments.

20+ Years Experience • PMP • PMI-CPMAI • Queen's Master of Management Analytics

20+ Years ExperienceDelivering measurable outcomes.
Financial ServicesBanking, payments and risk.
Data & AI GovernanceTrusted data and responsible AI.
Analytics LeadershipStrategy through execution.

Core Advisory & Delivery Services

Enterprise Data Governance

Governance frameworks, stewardship, metadata, lineage, data quality and operating models.

AI Governance & Responsible AI

AI risk management, controls, model governance and responsible AI practices.

Risk & Regulatory Compliance

Third‑party risk, records management, regulatory reporting and enterprise controls.

Transformation Delivery

Roadmaps, stakeholder alignment, operating models and execution.

Analytics & Business Domain Expertise

Customer Analytics

Customer behavior, segmentation, retention and lifetime value measurement.

Marketing Analytics

Campaign effectiveness, targeting strategies, measurement and optimization.

CRM & Customer Intelligence

Lifecycle management, personalization and customer decisioning.

Credit Cards & Payments

Cards, payments, portfolio growth and customer engagement.

Financial Services

Banking, risk, compliance, governance and transformation.

Data & Analytics Strategy

Operating models, governance, capability development and execution.

Insights & Perspectives

Perspectives on data governance, responsible AI, analytics, regulatory compliance, and enterprise transformation.

FEATURED ARTICLE

AI Governance Isn't an AI Problem—It's a Business Governance Problem

Published May 2026

Why effective AI governance starts with business accountability, oversight, and risk management rather than technology alone.

LATEST ARTICLE

Building a Responsible AI Operating Model

Published June 2026

A practical framework for translating Responsible AI principles into governance structures, accountability, processes, technology enablement, reporting, and oversight.

View All Insights

Coming Soon

🔒 The Evolution of Customer Behavior Analytics Coming Soon
🔒 Building Trusted Data in Regulated Industries Coming Soon
🔒 What Organizations Get Wrong About Third-Party Risk Management Coming Soon

Looking to strengthen data governance, operationalize responsible AI, or navigate complex regulatory requirements?

Let's Connect