Govern data, privacy, and AI at the executive level
A credential-grade program built for senior leaders who need to turn regulatory complexity, AI risk, and enterprise data obligations into boardroom-ready strategy — not theoretical frameworks, but decisions you can defend on Monday morning.

My standard for this program is simple: every framework you learn here should be defensible in front of your board by Friday.— Pauline Brown Smith, EdD

What you'll learn
What you'll be able to do
- Design a board-presentation-ready enterprise data governance roadmap with executive checkpoints and stakeholder alignment plans
- Build a privacy and regulatory compliance framework that spans GDPR, CCPA, sector-specific rules, and cross-border data obligations
- Develop a Responsible AI strategy that embeds fairness, transparency, human oversight, and accountability into the full AI lifecycle
- Construct a data assurance scorecard and executive KPI dashboard that surfaces governance health and audit readiness in real time
- Produce an enterprise risk register that identifies, quantifies, and mitigates data, privacy, and AI-related organizational risks
- Lead a five-year enterprise data governance initiative, including continuous improvement cycles and reflective leadership practices
How it works
A school that adapts to you
This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.
We learn your level
A quick placement check tailors your starting point so you're never bored or lost.
Lessons adapt as you go
Each lesson is written for your pace and your goal, adjusting as your skills grow.
Your AI coach keeps you moving
Checkpoints, feedback, and gentle nudges turn progress into a real result.
The curriculum
What's inside your school
6 modules · 28 lessons

Data Governance Foundations and Executive Accountability
Establishes the strategic, structural, and cultural foundations of enterprise data governance from an executive leadership perspective.
- 1.1The Executive Case for Data GovernanceIncluded
- 1.2Governance Structures, Roles, and Stewardship ModelsIncluded
- 1.3Data Quality, Metadata, and Lifecycle ManagementIncluded
- 1.4Access Controls, Security Alignment, and Strategic ObjectivesIncluded
- 1.5Building and Presenting Your Enterprise Data Governance RoadmapIncluded
Privacy, Regulatory Compliance, and Cross-Border Obligations
Equips leaders to design and operate privacy and compliance programs that satisfy global, sector-specific, and cross-border regulatory requirements.
- 2.1Global Privacy Landscape: GDPR, CCPA, and BeyondIncluded
- 2.2Sector-Specific Requirements: Healthcare, Finance, and Critical InfrastructureIncluded
- 2.3Cross-Border Data Transfers and Jurisdictional RiskIncluded
- 2.4Records Management, Retention, and Documentation ControlsIncluded
- 2.5Building a Privacy Framework and Compliance ProgramIncluded
Responsible AI Strategy and the Ethical AI Lifecycle
Develops leaders' ability to embed fairness, transparency, human oversight, and accountability into AI systems across their full lifecycle.
- 3.1Principles of Responsible AI: Fairness, Transparency, and AccountabilityIncluded
- 3.2Human Oversight, Control, and AI Governance StructuresIncluded
- 3.3AI Security, Reliability, and Privacy by DesignIncluded
- 3.4Bias Detection, Model Fairness, and Ongoing MonitoringIncluded
- 3.5Crafting a Board-Ready Responsible AI StrategyIncluded
Data Assurance, KPI Dashboards, and Audit Readiness
Enables leaders to evaluate governance effectiveness through structured assurance reviews, performance metrics, and real-time executive dashboards.
- 4.1Data Assurance Fundamentals and Governance Effectiveness ReviewsIncluded
- 4.2Designing the Data Assurance ScorecardIncluded
- 4.3Executive KPI Dashboards for Governance and ComplianceIncluded
- 4.4Audit Readiness, Documentation Standards, and Continuous ImprovementIncluded
Enterprise Risk Management for Data, Privacy, and AI
Trains executives to identify, quantify, and mitigate the full spectrum of data governance, privacy, and AI-related organizational risks.
- 5.1Enterprise Risk Frameworks Applied to Data and AIIncluded
- 5.2Identifying and Quantifying Data, Privacy, and AI RisksIncluded
- 5.3Building and Maintaining the Enterprise Risk RegisterIncluded
- 5.4Risk Mitigation Strategies and Escalation PathwaysIncluded
Leading the Five-Year Governance Initiative and Reflective Executive Practice
Integrates all program competencies into a long-horizon governance initiative while cultivating the reflective leadership practices that sustain it.
- 6.1Designing the Five-Year Enterprise Data Governance RoadmapIncluded
- 6.2Stakeholder Engagement, Change Management, and Executive SponsorshipIncluded
- 6.3Continuous Improvement Cycles and Governance Maturity ModelsIncluded
- 6.4Reflective Leadership and the Executive Governance JournalIncluded
- 6.5Capstone: Applied Executive Governance Initiative PresentationIncluded
Who it's for
Is this you?
Chief Data Officers
Formalizes the integrated governance, privacy, and AI accountability framework a CDO needs to lead with boardroom authority.
Compliance & Privacy Leads
Elevates regulatory expertise into a strategic, cross-border compliance program that holds up under audit and executive scrutiny.
IT Directors
Bridges the gap between technical data infrastructure and the governance structures, KPI dashboards, and risk registers that the C-suite demands.
Enterprise Architects
Embeds data governance, responsible AI design, and lifecycle management into enterprise architecture decisions from the ground up.
Analytics & BI Managers
Adds the governance credential and executive risk fluency needed to move from managing data teams to leading data strategy.
Aspiring Data Executives
Provides the credential-grade program and boardroom-ready portfolio that accelerates the path to a CDO or VP of Data role.
Questions
Frequently asked
Your teacher
A note from your teacher
Pauline Brown Smith, EdD
If you are reading this, there is a reasonable chance you are the person in your organization who gets called when a regulator asks a question, when an AI model produces a result that nobody can explain, or when the board wants assurance that data is being handled responsibly — and you are wondering whether the frameworks you are working with are actually fit for that level of scrutiny.\n\nThat is exactly the gap this program was built to close.\n\nI designed the Data Governance Executive curriculum because I kept seeing the same pattern: highly capable professionals — compliance leads, data officers, IT directors — who had deep domain expertise but lacked the integrated executive architecture to connect governance, privacy, AI ethics, and risk into a strategy the board could act on. They were solving governance problems tactically, one regulation or one incident at a time, rather than building the kind of durable, measurable framework that creates organizational resilience. The Brown Tech framework exists to change that.\n\nWhat you will find in this program is not a survey of best practices or a glossary of compliance terms. Every module is designed around a deliverable — a roadmap, a risk register, a KPI dashboard, a Responsible AI strategy — because the measure of executive education is what you can do with it, not what you can recite. We move through data governance foundations, global privacy and regulatory compliance, AI ethics and oversight, assurance and audit readiness, enterprise risk management, and long-range governance leadership in a sequence that builds on itself deliberately. By the time you reach the capstone, you are not assembling a presentation from scratch — you are synthesizing a body of work you have been building throughout the program.\n\nI also want to be direct about what this program is not. It is not an introductory course, and it does not treat you like one. The curriculum respects your existing professional experience and moves at the pace of an executive briefing. Dense regulatory and ethical concepts are unpacked with real enterprise examples and decision heuristics, not simplified into checklists. If you are looking for a credential that will stretch your thinking and produce work you can defend in front of your board, your auditors, and your peers — this is it.\n\nThe invitation is straightforward: bring your current governance challenges into this program, apply every framework to your real organizational context, and leave with a credential and a portfolio that reflects the executive you are building yourself to be. I look forward to working with you.
— Pauline Brown Smith, EdD
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- 6 modules, 28 lessons
- AI-adaptive lessons tuned to your level
- Quizzes & checkpoints to lock in progress
- Your own AI learning coach
- Learn on any device, at your pace
- Full access for as long as you're subscribed