Enterprise Platform Transformation

AT&T + DirecTV + WarnerMedia Ecosystem

UX Governance • Design Systems • Platform Operations

End-to-end consolidation of fragmented BI tools into a unified, scalable platform — standardizing dashboards, data models, and decision workflows at enterprise scale.

Scale 60,588+ users supported
Scale 15+ business units
Leadership 13 leaders mentored
Scale 20K+ monthly active users
Scale 50+ cross-functional organization
Scale 10+ enterprise products standardized
  • Mandate: Transform fragmented BI dashboards and reporting into an enterprise platform executives and business teams can trust for KPI visibility and decision support.
  • Established governance, standards, and reusable platform patterns that enabled enterprise BI dashboards, reporting systems, and decision-support tools to scale across business units.

Enterprise-wide BI ecosystem across multiple business units, shared data models, standardized workflows, and scaled rollout across product lines.

Role: Enterprise UX Governance Lead

  • Established enterprise UX governance across a 50+ member cross-functional organization
  • Defined reusable UI standards, dashboard specifications, and design review processes
  • Mentored 13 design and product operations leaders
  • Served as final UX approval authority for enterprise reporting platforms
  • Aligned Product, Engineering, Analytics, and UX teams across 15+ business units
  • Unified fragmented BI into a governed platform experience with reusable patterns and shared services.
  • Standardized design systems and data visualization components for consistent delivery.
  • Improved adoption and delivery speed through governance + operational alignment.

AT&T + DirecTV Merger | Enterprise BI Transformation

During the merger, the organization faced fragmented BI systems across business units with inconsistent tools, duplicated data, and disconnected user experiences. Beyond technology consolidation, the organization needed a shared governance model to align reporting experiences, design standards, and delivery practices across multiple business units and platforms.

myBI Roadmap
  • Fragmented dashboards and reporting tools
  • Inconsistent UX across BI platforms
  • Low adoption and trust in data
  • Redundant systems increasing operational cost

This fragmentation created disconnected workflows and inconsistent data models across the enterprise.

To support enterprise scale and cross-functional delivery, I established a governance framework that standardized experience quality across reporting platforms.

Framework Components

  • Enterprise UX standards
  • Dashboard specifications
  • Reusable UI patterns
  • Design documentation
  • Accessibility standards
  • Design QA process
  • Production review and approval workflow

This governance model enabled distributed Product, Engineering, Analytics, and UX teams to deliver consistent experiences across 10+ enterprise products and 15+ business units.

To address these challenges, I led the transformation toward a unified BI platform.

Before: myBI Hub — IBM

E2E data / system visual
  • Siloed BI tools
  • Inconsistent dashboards
  • Manual workflows
  • Low adoption

After: Unified BI platform (AMP/MyBI)

After: Unified BI platform (AMP / MyBI) dashboard example
  • Unified BI platform (AMP / MyBI)
  • Standardized design systems
  • Scalable dashboards across business units
  • Improved usability and adoption

Note: Internal/FPO visuals; included to demonstrate measurement & governance framework.

  • Led enterprise UX governance across a 50+ member cross-functional organization
  • Mentored 13 design and product operations leaders
  • Established enterprise UX standards, dashboard specifications, and reusable UI patterns
  • Served as final UX review and approval authority before production deployment
  • Defined governance models (RACI and three-in-a-box)
  • Aligned Product, Engineering, Analytics, and UX organizations
  • Enabled enterprise-wide adoption of consistent reporting and visualization standards

  • Established governance standards adopted across 10+ enterprise products and reporting platforms
  • Consolidated multiple tools into a unified platform experience
  • Created data visualization standards and reusable components
  • Enabled Agile delivery workflows across teams

I drove this transformation through a combination of platform strategy, design systems, and operational alignment:


  • Rolled out across 10+ product lines and business units
  • Integrated into Power BI and enterprise data platforms
  • Embedded within Agile product delivery and release cycles
  • Supporting 60,588+ enterprise users across 15+ business units

Developed in collaboration with BI/data teams and refined over multiple years of enterprise use, ensuring accuracy, usability, and sustained adoption at scale.

Note: Internal/FPO visuals; included to demonstrate measurement & governance framework.


  • Drove adoption through internal communications, newsletters, and training
  • Created engagement programs to onboard users to the new platform
  • Increased platform usage and cross-team alignment

To ensure adoption across the organization, I established structured communication and engagement programs:

Governance Adoption

  • Trained engineering teams on UX standards
  • Trained analytics teams on dashboard guidelines
  • Established recurring design review processes
  • Improved standards adoption through governance and coaching
  • Increased organizational alignment across reporting initiatives
  • 60,588+ users supported
  • 15+ business units aligned
  • 50+ member cross-functional organization influenced
  • 13 design and product operations leaders mentored
  • 10+ enterprise products standardized
  • 20K+ monthly active users
  • Governance standards adopted across Power BI, Tableau, and MicroStrategy environments

This unified BI platform became the foundation for AI-driven decision systems.

  • Decision paths: standardized KPI and exception workflows create clean entry points for copilots and contextual assistants.
  • Trust & governance: shared definitions, consistent models, and standardized patterns reduce “multiple truths” — enabling explainable recommendations.
  • Human control: high-impact recommendations require review/confirm gates; low-risk suggestions remain assistive.
  • Measurable rollout: instrumentation + adoption signals determine whether AI patterns expand across business units.
  • Executive validation: KPI clarity and decision readiness confirmed with leadership stakeholders.
  • Workflow validation: iterated with analysts and operational users to ensure patterns matched real decision workflows.
  • Rollout validation: adoption and engagement signals used to guide phased rollout across business units.

The challenge was not simply designing dashboards.

The larger challenge was establishing governance, standards, and operating models that enabled multiple organizations to deliver consistent enterprise experiences at scale.

By combining design systems, governance frameworks, and organizational alignment, fragmented reporting environments evolved into a scalable enterprise platform ecosystem.

Case Studies

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