Vijay Goyal

About Vijay Goyal

Proven Technology Executive who transforms underperforming platforms into strategic growth engines.At lululemon (2018–present):• Drove Multi-Million Dollar Capital Efficiency: Successfully proved and executed a single global Oracle Retail instance for NA, EMEA, and APAC, overriding a regional architecture mandate and saving multiple millions in licensing and infrastructure costs.• Delivered Customer-Facing AI Strategy: Re-established business trust by leading the enterprise rollout of Salesforce Service Cloud and delivering three production-ready Agentforce AI agents to achieve industry-leading autonomous resolution and containment rates.• Established Data-Driven Retail Insight: Transformed retail analytics from reporting to an end-to-end Snowflake-based insight engine, powering ML-driven decisions that optimize retail staffing and omni-channel fulfillment.• Scaled Global Engineering Capabilities: Built and scaled a high-performing 20+ person India Operations, QA automation, & SRE Center of Excellence (CoE), institutionalizing modern engineering practices (SRE, automation, observability).• I own full P&L accountability for a $25M+ annual CapEx/OpEx budget and partner directly with Senior Leaders on 3-5 year technology roadmaps.Passionate about Agentic AI at scale, building high-performing global teams, and creating effortless, elevated guest experiences.

Experience

1. Technology Director

   lululemon

   Aug 2022 — Present · Seattle, WA, US

   Transformed a technology organization that had lost business confidence following a failed Microsoft Dynamics implementation into a trusted strategic partner delivering consistent, high-impact outcomes.Key accomplishments:• Rebuilt business trust by leading the enterprise-wide rollout of Salesforce Service Cloud, replacing legacy systems and creating a unified, scalable guest experience platform now serving millions of interactions annually.• Delivered three Agentforce-powered AI agents (Sentinel, Scout, Smart Recap) from pilot to production, achieving AHT reduction, higher containment rates, and industry-leading autonomous resolution Leading creation of Personal Shopper solution that directly drives incremental revenue and elevates the premium guest experience.• Expanded retail analytics from a front-end Power BI reporting team into a full end-to-end data & analytics capability — built modern data pipelines on Snowflake, enterprise data exchange, and created advanced ML-driven guest insights now powering retail operations, retail staffing, and omni-channel decisions.• Led the selection of modern social care platform and migrated from Sprinklr to Emplifi, generating thousands of dollars annual savings while improving performance and functionality.• Built and scaled a high-performing global technology organization: recruited critical Salesforce, AI/ML, data engineering, and automation talent; stood up a 20+ person Operations, QA automation & SRE center of excellence in India.• Established mature engineering capabilities including test automation frameworks, security & compliance programs, observability, and SRE practices across the entire guest technology and retail analytics portfolio.• Own full P&L accountability for $20M+ annual CapEx/OpEx budget; consistently delivered projects on-time and on-budget while funding strategic AI and cloud investments.

Education

• Dharmsinh Desai University

  B.E., Chemical

  1996 — 2000

Skills

• Business Analysis
• Sql
• Sdlc
• Solution Architecture
• Requirements Management
• Pricing
• Solution Design
• Project Delivery
• Software Development Life Cycle (Sdlc)
• Business Process
• Rpm
• Warehouse Management
• Inventory Management
• Software Quality Assurance
• Leadership
• Software Project Management
• Management
• Oracle
• Requirements Analysis
• Oracle Retail
• Oracle Applications
• Project Planning