Albertsons – IT Merchandising
• Shifted UDS from an optional library to the default build path for Merch POD delivery.
• Established governance, documentation, and QA/audit practices to protect consistency as the system scaled.
• Used V1 adoption learnings to define the V2 modernization backlog (parity, tokens, responsiveness, AI-ready foundations).
• 20+ teams across 14 business units onboarded to UDS components and templates.
• 76% reduction in supplier onboarding SLA (21 → 5 days), 23% error reduction, +15 NPS when applied to the Merchant & Supplier Portal.
• $500K+ hard savings per year supported by an internal UDS chargeback model.
• 30%+ engineering velocity gains on teams fully adopting UDS.
• Inconsistent UI patterns across PODs increased tech debt and rework.
• Limited reuse created longer cycles for common workflows.
• Fragmented documentation and standards increased onboarding friction.
• Lack of shared foundations reduced confidence in cross-team consistency.
• Owned the Merch UX platform operating model for UDS across PODs, including intake, prioritization, stage gates, OKRs, and value-realization reporting.
• Led a 25+ person cross-functional delivery model spanning Product Design, UX Systems, Research, Front-end/Back-end Engineering, Data Science/Analytics, Product Management, and Scrum; instituted a unified cadence across PODs.
• Secured executive alignment and long-range capital planning; maintained a self-funded model through an internal chargeback approach.
• Chaired the Design System Council and cross-business working groups for tokens, governance, and accessibility to ensure scalable standards and consistent adoption.
• Standardized foundations across color, typography, spacing, grid behaviors, icons, shadow, elevation, motion, shape, and layout rules.
• Enabled consistent component construction using shared foundation logic.
• Reinforced design-to-dev clarity through documented usage patterns.
• Positioned foundations as the backbone for scalable templates and feature growth.
• Implemented a design tokens pipeline using Tokens Studio + Style Dictionary, wiring tokens into the code architecture to support scalable theming and reduce design-to-dev drift.
• Built an agentic AI-assisted design-to-code pipeline (Locofy + Cursor): Figma tokens → React/Storybook components → versioned packages with unit & visual regression tests; reduced design-to-dev handoff time by ~35% and PR rework by ~18%.
• Introduced AI-enabled acceleration patterns to increase consistency and speed for token-compliant UI assembly across POD teams.
• Built reusable components derived from standardized foundations.
• Organized the library in a scalable hierarchy: foundations → primitives → compound components → templates.
• Established a component-first model to replace pod-specific UI solutions.
• Delivered product templates for core enterprise patterns (full-width content, forms with right rail, calendars, dashboards).
• Reduced rework by narrowing the gap between Figma intent and production behaviors.
• Formalized a component lifecycle: request/RFC → UX/accessibility review → dev implementation → QA checks → release → telemetry and deprecation.
• Prioritized POD requests based on business impact and sprint capacity.
• Maintained a future-focused backlog to keep foundations ahead of “nice-to-haves.”
• Defined audit checklists across typography, layout/spacing, color systems, form behaviors, icons/images, and micro-interactions.
• Published the UDS Documentation Website as the single front door for standards, usage patterns, and release updates—reducing onboarding friction and enabling more self-serve adoption.
• Typography (headers, paragraphs, text links, states).
• Layout & spacing (grids, overlap checks, responsive behavior).
• Colors, form elements, images/icons, micro-interactions, and animations.
• Documentation system integration (Figma, Storybook, Confluence, Airtable, release notes).
• Positioned UDS as Merchandising’s core UI/UX resource and articulated the business case for design systems (consistency, efficiency, cost control, and scalable delivery).
• UDS Core Components
• UDS 2.x Themes Update
• UDS Website
• UDS Demo App
• Defined a prioritization model across MSP PODs, Collective Hub needs, and the UDS backlog to keep high-impact work ahead of “nice-to-haves.”
• Fragmented supplier workflows across SharePoint, email, and legacy tools triggered long onboarding SLAs and manual rework.
• MSP rebuilt on UDS templates and components—global navigation, data-dense dashboards, task lists, and workflows sharing the same grid, patterns, and foundations.
• 76% SLA reduction (21 → 5 days), 23% error reduction, +15 NPS—proof that UDS moved real business metrics, not just UI consistency.
• MSP became the proof-point used to secure continued investment and expand adoption into additional PODs.
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