Swati Kirti

CEO

Seattle, WA, United States18 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led multi-million-dollar AI initiatives at Walmart.
Expert in building enterprise AI platforms and decision systems.
Proven track record in driving revenue and operational efficiency.

Stackforce AI infers this person is a Data and AI leader in the Retail and Logistics sectors.

Contact

Skills

Core Skills

Enterprise Ai PlatformsDecision SystemsCustomer Data PlatformsData AnalyticsPricing OptimizationCustomer RetentionPricing Strategy

Other Skills

AlgorithmsMachine LearningData EngineeringData ManagementData VisualizationDigital TransformationProject DeliveryStatisticsProject ManagementEngineeringCustomer ExperienceBusiness AnalysisCross-functional Team LeadershipIT StrategyE-commerce

About

Technology should be a force for good—and a growth engine for business. I’m a Data & AI leader who builds and scales enterprise AI from strategy to production—by creating the operating system behind it: modern data platforms, governed AI delivery, and decision systems that drive measurable business outcomes. Across Walmart and FedEx, I’ve led large, cross-functional organizations (300+) and owned multi-million-dollar portfolios spanning eCommerce, merchandising, supply chain, pricing, and operations. My teams have delivered optimization and decision intelligence capabilities that unlock revenue growth, cost savings, and operational efficiency at scale. I focus on turning AI into real, sustained capability—not isolated models—through strong platforms, disciplined operating models, and deep partnership with business, product, engineering, and risk teams to ensure adoption, trust, and long-term value. Core areas include enterprise AI platforms, decision systems, MLOps and reliability, data governance and quality, and scaling adoption through change management.

Experience

18 yrs 5 mos

Total Experience

2 yrs 9 mos

Average Tenure

7 yrs 5 mos

Current Experience

Walmart global tech

4 roles

Group Director, Data Science & Engineering

Promoted

May 2024 – Present · 2 yrs

Led multiple high-impact AI and GenAI initiatives across global retail operations. Spearheaded Walmart’s Trend-to-Product strategy, using GenAI to detect emerging fashion trends and accelerate design cycles. Enhanced product discovery and engagement by driving GenAI and ML-powered search personalization across international markets. Improved inventory planning, last mile and regional supply through advanced forecasting and product placement engines.Migrated critical eCommerce data infrastructure to the cloud, achieving metadata and governance coverage. Scaled catalog intelligence using LLMs to enrich, deduplicate, and normalize data for over 300+ million items.

AlgorithmsMachine LearningData EngineeringData ManagementData VisualizationDigital Transformation+2

Senior Director, Data Science & Engineering

Promoted

Apr 2022 – May 2024 · 2 yrs 1 mo

Optimized food waste reduction through machine learning–driven SKU loss detection and dynamic markdown strategies. Built enterprise-wide customer data platforms and AI-powered marketing tools to boost personalization and campaign effectiveness. Spearheaded GenAI deployments across use cases including sourcing, sustainability, and internal productivity, with team research accepted at top AI conferences and multiple patents filed. Enabled scalable global personalization and analytics, and led seamless execution of data transitions for large-scale divestitures .

AlgorithmsMachine LearningData EngineeringData ManagementData VisualizationDigital Transformation+3

Director, Data Science & Engineering

Promoted

Feb 2020 – Apr 2022 · 2 yrs 2 mos

Led globally distributed tech teams to build large-scale data and analytics products powering decision intelligence across eCommerce and stores. Delivered predictive insights, automation, and personalized experiences to optimize retail operations and customer engagement. Enabled capabilities spanning assortment, pricing, demand forecasting, inventory optimization, segmentation, search, personalization, and promotions—driving measurable impact across the omnichannel journey.

AlgorithmsMachine LearningData EngineeringData ManagementData VisualizationDigital Transformation+3

Sr. Manager ll, Data Science & Engineering

Dec 2018 – Feb 2020 · 1 yr 2 mos

Led cross-functional teams across product, data science, and engineering to deliver scalable data science capabilities for pricing, space, assortment, and sourcing. Drove alignment across tech and business stakeholders to prioritize initiatives, manage trade-offs, and execute complex analytics products with clear focus and speed. Delivered key solutions including price optimization, markdown strategies, supplier assessment, cost analytics, assortment planning, demand forecasting, product grouping, and substitution intelligence—enabling smarter, faster merchandising decisions at scale.

AlgorithmsMachine LearningData EngineeringData ManagementData VisualizationDigital Transformation+3

Fedex services

2 roles

Data Science & Analytics - Revenue Science Advisor

Promoted

Feb 2014 – Dec 2018 · 4 yrs 10 mos · Greater Memphis Area

Led data strategy and analytics across multiple FedEx business lines including eCommerce, sales, marketing, healthcare, and M&A. Delivered insights to optimize customer retention, lifecycle modeling, subscription services, and product mix decisions—directly influencing campaign performance and revenue outcomes. Enabled key initiatives such as Small and Medium size Enterprise(SME) propensity modeling, churn analytics, and healthcare segment strategy. Provided analytical leadership for post-acquisition transitions, including Europe Presales carve-out, and drove enterprise adoption of big data technologies through cross-functional partnerships.

AlgorithmsMachine LearningData EngineeringData ManagementData VisualizationDigital Transformation+3

Sr. Revenue Management Analyst

Feb 2012 – Jan 2014 · 1 yr 11 mos · Greater Memphis Area

Led pricing analytics and cross-functional initiatives to optimize yield and revenue through data-driven surcharge strategies and pricing logic enhancements. Managed multiple projects from concept to launch, including the design of an enterprise-wide Pricing Request System. Partnered across business and tech teams to define requirements, drive execution, and support go-to-market enablement with sales training and executive-ready reporting.

AlgorithmsData AnalyticsProject DeliveryStatisticsDigital TransformationPricing Strategy

Microsoft corporation

2 roles

Consultant

Promoted

Aug 2011 – Dec 2011 · 4 mos · Greater Seattle Area

Addressing functional aspects of product development, marketing, finance, operations and sales and building strategies for the implication these functional areas can experience during M&A.

Digital Transformation

Consultant

Jan 2011 – May 2011 · 4 mos · Greater Seattle Area

Successfully designed Business Group engagement playbook for Global Foundation Services (GFS) as a part of business improvement process.
Built marketing strategies for the adoption of Windows Azure within Microsoft.

Customer Experience

Walmart

Intern

May 2011 – Aug 2011 · 3 mos · Bentonville,AR

Worked closely with Project managers, Business Analysts and Technical Experts to better understand lifecycle of products in retail industry
Successfully researched and presented the relevance of ‘Omni Channel’ in the global ecommerce business

EngineeringDigital Transformation

The university of arizona

MBA

Aug 2010 – Dec 2011 · 1 yr 4 mos · Tucson, Arizona Area

MBA candidate with extensive experience in managing customer relationship, budgeting, designing and implementing technical systems and successfully leading cross-functional teams.
Specialties:
Product Designing and Management
Marketing and Brand Management
Market Research
Decision Modelling
Application development
Negotiation
Project Management
Innovation & IT Strategy
Programming: HTML, COBOL, JCL, Java, C, C++.
Language Databases: DB2, MS SQL Server.
Applications: Visio, Lotus Notes, SPSS, Retail Link