Shawn Phillips

Principal Consultant · Lailara LLC

Twenty-five years cleaning, validating, and building the reporting layer for transaction and operational data. Incentive fulfillment, rebate processing, product data syndication, retail supply chain. Currently Director of Operations and Chief Solutions Architect at Incentive Insights, where I’ve spent nineteen years, seventeen of them as Director of Operations, building the data quality standards a production platform depends on. At Lailara LLC, as Principal Consultant, I do the same work in three lanes: CPG retail and deduction data, campaign and web analytics, and rebate and incentive payouts.

How I Got Here

I started in bioinformatics in 1999 and moved into incentive fulfillment operations in 2001. I’ve spent nineteen years with the same data infrastructure: designing it, expanding it, adapting it as the company grew and the technology changed. Small team, real constraints, no one to hand things off to. When a data error hit, it was a client escalation, not a ticket.

That means I’ve seen what survives and what doesn’t, across tool changes, team changes, growth, and every edge case production can throw at a system. The work I do is shaped by what happens in the years after the delivery.

The title on the card was two jobs: Director of Operations and Chief Solutions Architect. Operations taught me process hygiene: the handoffs, EDI habits, and weekly routines that create the data. Architecture taught me data hygiene, what it takes for records to stay right inside the systems that depend on them.

Lailara LLC is the consulting practice I built around that experience: data audits, decision tools, and quality engineering for specialty food and CPG brands scaling into national retail, marketing teams that run paid campaigns, and manufacturers that run rebate or incentive programs.

Education & Training

Harvard Business School Online

Certificates in Strategy Execution and Digital Marketing Strategy

HarvardX

Data Science, Python, and machine learning coursework

University of Kentucky

M.S. Vocational Education · B.S. Agriculture-Animal Sciences

Tools

PythonSQLRPower BIFastAPIQuartoShinySQLiteExcelClaude CodePlotlypandas

Portfolio

Different problems, different tools. The common thread: data that hasn’t been cleaned, validated, or interpreted yet, and a deliverable built for someone who needs to act on what’s in it.

Product Data Health Audit

Data readiness audit for Cinderhaven, a fictional specialty food brand built from realistic test data, scaling into national retail. Finds $93,000 a year in retailer chargebacks traced to five product data defects: missing case dimensions, invalid UPCs, bad GTINs, missing country of origin, and missing case weight. Five artifacts from one reproducible pipeline.

RQuartoSQLiteShiny

Trade Spend & Deduction Recovery

Interactive decision tool that makes retailer deduction losses visible and actionable. Ten connected views including Sankey flow, recovery simulation, and retailer scorecards.

ReactPython

Fulfillment & OTIF Diagnostic

Reconciles internal fulfillment metrics against retailer scorecards, quantifies the gap, and produces a remediation plan prioritized by cost of inaction.

ReactPython

Channel Profitability & Capital Allocation

Which channels earn after all costs, where the revenue-to-cash leakage concentrates, and whether capital is flowing to the right shelf.

ReactPython

SKU Portfolio Audit

A scored kill list with quantified annual savings, a fix-or-kill action plan with one specific lever per SKU, and the methodology to re-run it quarterly.

Python

Retail Readiness & Launch

Readiness across eight dimensions for a specific retailer launch. Cash-flow modeling, GTIN validation, EDI preflight, and a gap-closing action plan.

FastAPIvanilla JSFly.io

Retail Velocity Decision Tool

A CEO picks one of eight decisions and the tool surfaces the right velocity view to answer it. Built on a synthetic 50-SKU dataset with 1.2M rows of weekly scan data.

PythonDash

GTIN Validator

Product data validation against GS1 standards with retailer-specific context. Generates branded PDF reports with a prioritized fix roadmap.

ReactFastAPIFly.io

Item Setup Pre-Flight

Retailer/distributor item-setup pre-flight: codified partner schemas and a typed validation engine that flags new-item form rejection risk before submission. Runs client-side via Pyodide.

Source on GitHub →
PythonPydanticPyodideAlpine.js

Dimension & Weight Integrity

Guided narrative analysis of case dimension and weight divergences. Five chapters from raw measurement audit through cost modeling and retailer compliance risk.

Source on GitHub →
ReactPythondbtPostgres

Start with a written form, not a call

Describe the data problem in the form. I’ll reply in writing with whether it’s a fit and where I’d look first.

Get in Touch