Director, Strategic Insights & AI — Walmart

Data, AI & Product Leader, turning enterprise data into decisions.

I build the systems that decide what a business does next — metric layers, experiments, and the AI agents that put insight directly in a leader's hands — then help Product and Engineering ship it.

Bentonville, Arkansas · 16 years in industry · 9+ at Walmart
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Signature Work

Impact, by the numbers

$36M
CRM AI Savings
Customer Engagement
Championed AI initiatives across CRM — including AI-based voice and chat agents (Agent Assist) — measured and tracked through to realized savings.
$330M
Asset Protection
Intelligent Retail Lab
Proactive alerting on shifting theft patterns, turning shrink prevention from a lagging report into a live defense feeding Product and Engineering fixes.
35%
GMV Lift
WFS · Marketplace
Driven by transport partner acquisition, multi-channel strategy, and efficiency gains across a multibillion-dollar fulfillment business.
30% → 70%
Self-Serve Rate
Sierra Voice AI
Lifted self-serve adoption for the AI voice assistant replacing traditional IVR, with a consistent rise in CSAT alongside it.
51% → 73.5%
Appeasement Utilization
Customer Engagement
Redesigned appeasement strategy by issue type, customer value, and history; insights went on to shape Walmart+ adoption strategy.
26%
Merchandise Sales Lift
Fuel & Convenience
Demand and in-stock signals that turned fuel traffic into inside-store purchases for associates and merchants.
AISLE1
Agentic AI Product
Claude + BigQuery
Built the org's governed metric repository as a conversational AI product — leaders query certified definitions in natural language.
$6M
Vendor Contract Closed
Wipro · Pre-Sales
Single-handedly closed an exclusive Alteryx agreement from initial evaluation through to a signed preferred-provider deal.
About

The pattern behind the roles

Sixteen years in analytics and AI, including nine-plus at Walmart, spent in the seam between what the data says, what engineering can build, and what the customer actually needs. I currently lead a 25+ person organization across four pillars — Self-Serve/Chatbots/AI, CRM, Workforce Management, and Ops — and have shipped alongside Product teams in customer service, fulfillment, facilities, fuel & convenience, and store innovation.

My pattern is consistent: move analytics from reporting what happened to shaping what the business does next. That means building the metric repositories and governance that make enterprise data trustworthy, the experiments that prove what actually works, and increasingly, the AI agents that put certified answers in a leader's hands without a request queue in between.

Experience, by Lens

Four ways to look at the same career

The work overlaps constantly — an AI launch is also a product bet, a data platform is also a business-strategy call. These buckets are just the four lenses people usually ask about.

Agentic AI, GenAI, computer vision, and conversational AI — built to change a decision, not just add a feature. My focus is always the measurement framework underneath: how do we know it worked?

Claude + BigQuery

AISLE1: Putting Certified Metrics in a Conversation

Built an agentic AI insights product that serves as the org's governed metric repository. Leaders query certified definitions in natural language and get narrative answers with context — not just tables — and the semantic layer keeps the number the same no matter who asks. It absorbed the recurring ad hoc analysis load and now powers “4-in-the-box” product, ops, and engineering reviews.

Conversational AI

Sierra Voice AI: Defining What “Good” Looks Like

Owned the measurement framework — containment, resolution, cost per contact — that leadership used to judge the shift from traditional IVR to an AI voice assistant. Self-serve rate rose from 30% to 70%, with CSAT climbing alongside it rather than trading off against it.

AI-based CRM Platform

Agent Assist: From Pilot to Scale

Partnered directly with Product on AI-based voice and chat agents on the CRM platform — requirements and problem framing, pilot design, launch readiness, adoption tracking, and post-launch iteration. Built sentiment analysis into the measurement layer to track how customers actually felt about AI-handled interactions turn by turn, not just whether the contact resolved — catching tone and satisfaction drift early enough to fix it before it showed up in CSAT. Part of a broader CRM AI push that delivered $36M in realized savings.

Intelligent Retail Lab

Computer Vision at the Store of the Future

Directed the data analytics and ML team behind a computer-vision shrink-prevention platform. Behavior and shrink-pattern analysis drove material product improvements, preventing $330M in loss and producing a filed patent (Virtual Cart Optimization Tool).

I build the analytics that decide what gets built — instrumentation, funnels, experiment design, and the success metrics a product is judged on — embedded with Product from problem definition through launch and scale.

Product Analytics

Shipping the Instrumentation Behind the Roadmap

Own product analytics for the full service portfolio — instrumentation, journey funnels, containment and escalation analysis, and self-serve deep dives that tell Product exactly where customers dropped off and which experiences to rebuild first.

Membership Growth

Walmart+ Fuel Benefits: Adoption from Day One

Partnered with the Walmart+ product team to launch a member fuel benefit, building the adoption and redemption tracking that connected fuel behavior to membership growth and retention from the first day of launch.

Fuel & Convenience

Smart Fuel Pricing Engine: Closing the Competitive Gap in Real Time

Designed and built Fuel & Convenience's first automated pricing tool in 2020: continuous WTI/Brent crude and Kalibrate competitor-pricing feeds, a configurable radius and price-gap threshold, and a BI layer that quantified the dollar cost of any unaddressed breach before alerting the pricing team via Power BI and mobile. Replacing manual, once-a-day price checks with 24/7 monitoring drove an 8.5% quarter-over-quarter increase in gallons sold.

Facility Services

Tech Assist: Turning Maintenance Reactive to Proactive

Partnered with Product to deploy live refrigeration and HVAC telemetry monitoring, giving field teams a signal before equipment failed — turning a maintenance queue into a proactive product experience.

Decision Systems

Metric Governance as a Product Decision

Established definitions, architecture review, and sign-off processes that gave Product one trusted source of truth for roadmap and prioritization — replacing dashboard sprawl with an actual decision system.

I work at the seam where physical footprint, operating model, cost structure, and customer experience meet — framing the right problems and converting complex operational challenges into scalable capabilities.

0→1 Business Strategy

Building Fuel & Convenience from the Ground Up

Built the strategy and data foundation for a new division from zero, standing up the metrics an entire business needed to operate — and drove a 26% merchandise sales lift by connecting fuel traffic to inside-store purchases.

Network Strategy

Middle-Mile Strategy: Internal Consolidation Centers

Helped shape the build-out and operating case for Internal Consolidation Centers, modeling flow, capacity, and cost-to-serve to inform how volume moved through the network — part of a 35% GMV lift for the fulfillment business.

Executive Communication

One-Page Decision Briefs for 200+ Leaders

Translated network economics — cost to serve, capacity, carrier performance — into a one-page format used every week across Weekly Business Reviews, making complex trade-offs legible fast for a multibillion-dollar business.

Connected Assets

From Reactive Tickets to Proactive Asset Strategy

Built the data and IoT foundation for Facilities Maintenance — architecture, telemetry flows, asset hierarchy — shifting the operating model from ticket response to prevention and informing capital versus expense decisions on repair-or-replace.

Enterprise data only creates value if people trust it and can actually get to it. I build the metric repositories, governance, and self-service layers that make that true at scale.

Enterprise Platform

A 300K+ User Analytics Platform

Owned capacity, row-level security, and self-service enablement for an enterprise analytics platform serving 300,000+ users, and designed a data-lake landscape that shifted the org toward self-service.

Applied NLP

NLP Self-Service at Sam's Club

Shipped natural-language self-service so senior leaders could query their own data in free-form text — then trained them on it, treating adoption as seriously as the technical build.

Causal Impact

Experimentation as a Practice, Not a One-Off

Ran control-group testing and IVR modernization measurement, built AHT trackers, and recovered IEX forecasting accuracy from red to green — turning experimentation into a standing capability rather than a special project.

Diagnostic Analytics

Text Analytics to Find the Root Cause

Used text analytics to diagnose root causes across the bottom 10% of Sam's Club locations and target intervention precisely — grounded by running field inspections as first-hand user research.

Predictive Scoring

Call Complexity Scorecard: Scoring Every Contact

Built a weighted, six-factor model that scores every contact Low, Medium, or High complexity from contact reason, workflow count, talk %, repeat calls, transfers, and genuine/non-genuine intent — giving CES a defensible, auditable score to strategize call routing, headcount and skills planning, and scheduling around the real complexity mix instead of raw contact volume.

Work Samples

See it, not just read about it

Live, interactive artifacts — click through to explore the real thing. Hover any card to pause and take a closer look.

Articles

Writing on data, AI, and how teams should work

Frameworks and points of view, written up so the thinking travels beyond one meeting.

Certificates

Verified credentials

Click through to verify directly with the issuing institution. University credentials carry a Cornell banner; platform certifications carry the issuer's mark. Hover any card to pause and take a closer look.

Career

The full arc

Jun 2025 — Present
Director, Strategic Insights & AI
Walmart
Agentic AI, conversational AI, and service economics for a 25+ person, four-pillar organization.
Feb 2024 — Jul 2025
Director, Advanced Analytics
Walmart Fulfillment Services
Insight and measurement strategy for a multibillion-dollar fulfillment business — multi-channel, carrier, and consolidation network economics.
Jul 2022 — Feb 2024
Director, Data Analytics
Intelligent Retail Lab
0→1 emerging technology: computer-vision shrink prevention and next-generation checkout evaluation.
Feb 2020 — Jul 2022
Senior Manager, Data Analytics
Real Estate, Facility Services, Fuel & Convenience
Connected-asset products, IoT telemetry, and membership growth strategy for two divisions built largely from the ground up.
Jul 2018 — Feb 2020
Senior Manager, Data Analytics
Safety & Compliance, Sam's Club
Enterprise safety metrics platform, NLP self-service, and field-grounded root-cause analytics.
Jan 2017 — Jul 2018
Senior System Engineer
Analytics & Visualization Technology, Walmart
Owned a 300K+ user analytics platform and led the shift toward self-service across the enterprise.
Feb 2014 — Jan 2017
BI Consultant
Wipro — Nike Workforce Insights Network & Client Engagement
HR analytics, client-facing discovery, and vendor partnerships (Alteryx, Domo) as part of the pre-sales team.
Sep 2010 — Feb 2014
BI Developer
Wipro — Nike & GMACI
Cognos reporting, SAP HR modeling, and mainframe-to-modern analytics migration.
Capabilities

What I bring to the table

AI & Analytics Strategy / Roadmapping Strategic Thinking Agentic AI & GenAI Applications Product Analytics & Instrumentation Enterprise Metric & Semantic Layers Experimentation & Causal Impact ML Deployment & Productionization Data Architecture & Modeling Computer Vision & NLP Applications Conversational AI (Voice & Chat) Business Case & Investment Framing Executive Stakeholder Influence Cross-Functional Leadership Org Building & Talent Development Operating Model & Governance Design Capital & Expense Optimization Responsible AI, Risk & Privacy Data Storytelling & Narrative Design Rapid Prototyping / “Vibe Coding”
Education
Certificate, Machine Learning
Cornell University · Apr 2021
Certificate, Product Management
Cornell University · Nov 2020
PGDBA, Marketing
Symbiosis Centre for Distance Learning · 2012–2014
B.Tech, Information Technology
West Bengal University of Technology · 2006–2010
Certifications
  • Intro to Generative AI for Data Analysis — Microsoft
  • Core Designer Certificate — Dataiku
  • Alteryx Designer Core — Alteryx
  • Tableau Desktop Specialist — Tableau
  • Google Analytics Certification — Google
  • Intro to CS & Programming Using Python — MIT
  • IBM Cognos 10 BI Administrator · Reports · Metadata Modeling
Recognition
Patent
Virtual Cart Optimization Tool (Patent Filed)
Honors & Awards
Certificate of Appreciation · Feather in My Cap (×2) · Thanks a Zillion · IT Wiz 2005
Languages
English (Full Professional) · Hindi (Full Professional) · Bengali (Professional Working)
Testimonials

What people say about working with me

Sourced from LinkedIn recommendations, shown as received. Hover any card to pause and take a closer look.