Iris Yang S.

Iris Yang S. Email and Phone Number

Vice President, Global Data, Analytics and AI @ Alimentation Couche-Tard
Atlanta, GA, US
Iris Yang S.'s Location
Atlanta Metropolitan Area, United States, United States
About Iris Yang S.

Passionate and experienced leader in retail analytics and data science with quality results in building and leading global cross-functional teams, driving analytical insights for customer-centric merchandising, retail space & inventory management and supply chain transformation. 12+ years of hands-on and leadership experience in analytics and insights development and activation, business engagement and relationship building, strategic roadmap development and deployment. Excels at developing and executing vision and strategies and driving positive business results. Bilingual in English and Mandarin Chinese.

Iris Yang S.'s Current Company Details
Alimentation Couche-Tard

Alimentation Couche-Tard

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Vice President, Global Data, Analytics and AI
Atlanta, GA, US
Website:
macys.com
Iris Yang S. Work Experience Details
  • Alimentation Couche-Tard
    Vice President, Global Data, Analytics And Ai
    Alimentation Couche-Tard
    Atlanta, Ga, Us
  • Macy'S
    Vice President, Enterprise Data Science & Machine Learning Engineering
    Macy'S Mar 2022 - Present
    New York, Ny, Us
  • Macy'S
    Sr Director, Enterprise Data Science
    Macy'S Apr 2021 - Mar 2022
    New York, Ny, Us
  • Emory University - Goizueta Business School
    Corporate Advisory Board Member
    Emory University - Goizueta Business School Jan 2021 - Present
    Atlanta, Ga, Us
    The Corporate Advisory Board supports the Goizueta Business School through service and engagement, provides the school with insights and guidance on curriculum and initiatives that prepare students for future successes, and provides recommendations for the school to serve as a partner in the lifelong learning journey of alumni and others.
  • The Home Depot
    Director Data Science
    The Home Depot Jun 2015 - Apr 2021
    Atlanta, Georgia, Us
    Founded and built the Data Science function and competency for the Merchandising Services organization. Developed and deployed space optimization vision and strategic roadmap that encompass data infrastructure, analytical solutions, business engagement processes, merchandising partnership, and talent. Led a diverse team of Sr Managers, Data Scientists, and Data Analysts in developing customer-centric analytics, tools & technology, insights and business processes that drive effective decision making and optimize KPI return on space for THD stores.
  • Target
    Manager - Merchandising Analytics
    Target Feb 2012 - May 2015
    Minneapolis, Mn, Us
    - Built and led a global team (US and India) of leaders and analysts in developing analytical methodology and insights that deliver on strategic priorities in store space optimization and merchandising presentation, inventory management and omni-channel supply chain transformation. - Assessed, developed and coached diverse talent. Built the team's knowledge and skills in analytical methods, data visualization and effective communications. - Built and fostered productive relationship with business clients and leaders. Elevated the power of science and analytics to influence and drive business decisions. - Spearheaded the Analytics role in a major cross-functional Apparel & Accessory project, leading analysts to develop demand forecasting methodology and integrating the logic with product procurement and inventory allocation processes and systems. - Led the development of methodology and tools for key space productivity initiatives that drive profitable sales, including space optimization for small store formats (Target Express), micro (planogram) and macro (adjacency) footage and arrangement optimization. The space optimization tool drove annual incremental sales of $50M. - Led the development of methodology and tools for multi-channel inventory management initiatives. The assortment pack optimization tool drives allocation of initial set inventory to 1800+ stores for Apparel businesses. - Designed and implemented a patent-pending algorithm in estimating promotion effectiveness.
  • Target
    Lead Optimization Analyst
    Target Aug 2009 - Feb 2012
    Minneapolis, Mn, Us
    - Developed and enhanced mixed-integer programming (MIP) space optimization models to automate divisional store space planning and merchandising, enabling in-store product presentations that drive profitable sales and improve customer experience.- Designed and implemented a patented methodology in store space planning automation.- Led projects and partnered with system development teams and business clients to roll out end-to-end space planning solutions.- Designed and captained the first Business Intelligence & Analytics Intern Program at Target.- Managed and mentored summer interns
  • Eaton Corporation
    Lead Engineer
    Eaton Corporation Aug 2006 - Aug 2009
    Dublin, Ireland, Ie
    - Designed and implemented optimization models for embedded software in electro-hydraulic valve systems launched for Eaton's mobile off-road market. - Directed an offshore team of 6 engineers in India. Trained and developed team members in technical skills and business knowledge. Led time-critical projects including developing test plans, simulation, and trouble-shooting.

Iris Yang S. Education Details

  • University Of Minnesota
    University Of Minnesota
    Aerospace Engineering And Mechanics
  • Peking University
    Peking University
    Mechanics And Engineering Sciences

Frequently Asked Questions about Iris Yang S.

What company does Iris Yang S. work for?

Iris Yang S. works for Alimentation Couche-Tard

What is Iris Yang S.'s role at the current company?

Iris Yang S.'s current role is Vice President, Global Data, Analytics and AI.

What schools did Iris Yang S. attend?

Iris Yang S. attended University Of Minnesota, Peking University.

Who are Iris Yang S.'s colleagues?

Iris Yang S.'s colleagues are Aaron Trieu, Jay Pil, Ray Barba, Amanda Pioppi, Shrm-Cp, Areli Ayala, Marquis Marshall, Peter Smith.

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