Protecting what makes the brand valuable
A Microsoft Purview control design for customer profiles, employee records, influencer contracts, campaign plans, and confidential product information.
I translate business requirements into practical governance controls—connecting data quality, information protection, identity, risk, and responsible AI.
My point of view
Strong governance connects policy to execution. It defines who owns a decision, what evidence is required, how a control operates, and how outcomes are measured.
My work sits at the intersection of business, technology, and risk. I bring more than 12 years of experience in higher education, data management, compliance, reporting, documentation, and process improvement.
The fictional enterprise
A modern beauty and lifestyle company selling cosmetics, haircare, and accessories through e-commerce, retail boutiques, and a loyalty app. Veloura works with influencers, agencies, suppliers, and beauty advisors—and is preparing to launch an AI-powered virtual beauty advisor.
One company · four governance modules · one practical reporting bridge
What Veloura needs to govern
Customer profiles & preferencesProduct, shade & ingredient dataLoyalty & purchase historyInfluencer & supplier contractsAI recommendations & decisionsSelected portfolio
A concise case-study program showing how protected information and governed access create trusted data, how quality-controlled reporting supports decisions, and how the same foundation supports responsible AI.
A Microsoft Purview control design for customer profiles, employee records, influencer contracts, campaign plans, and confidential product information.
An Entra governance model for employees, beauty advisors, agencies, suppliers, and seasonal partners using access reviews and lifecycle controls.
The centerpiece: clear ownership and quality standards for customer, product, shade, inventory, supplier, and loyalty-program data.
A completed reporting case study using SQL, Microsoft Fabric, and Power BI to profile product data, resolve quality issues, model sales, and communicate actionable insights.
View completed case studyA responsible-AI framework for Veloura's virtual beauty advisor and recommendation engine, covering data use, transparency, human oversight, bias, and monitoring.
Completed case study
Built a compact raw-to-report workflow that preserves source evidence, standardizes product data, validates sales calculations, and gives decision-makers a trusted view of revenue, profitability, and data-quality exceptions.

Five governed KPIs and three decision-focused visuals translate the curated model into an executive-ready report.

Raw product and transaction files are retained alongside curated, dimensional, and fact tables. Select the image to view it full size.

Testing confirmed 120 unique transactions, zero unmatched product keys, and zero financial-calculation errors. Select the image to view it full size.

An active one-to-many relationship connects the trusted product dimension to sales facts and reusable measures. Select the image to view it full size.
validated transactions
unmatched product keys
calculation errors
product flagged for review
The governance chain
Define the decision, risk, and accountable owner.
Translate policy into a clear, testable requirement.
Configure the process, platform, roles, and evidence.
Monitor effectiveness and improve the control.
Credentials & foundation
My background combines doctoral-level business and information systems education with hands-on knowledge of Microsoft security, identity, cloud, and data platforms.
Certifications earned
Next chapter
Open to fully remote opportunities in enterprise data governance, AI governance, information governance, data quality, governance reporting, reporting analysis, business intelligence, governance risk and compliance, and governance operations.
Explore the portfolio ↗