Justin Wilde

Chief Operating Officer and Chief Data Officer at Revmatics, overseeing Product, Data, and Operations with end-to-end accountability across AI-driven SaaS, data monetization, and services. I lead the company’s product-led growth model, aligning product strategy, proprietary data, and execution to drive scalable growth and competitive advantage.

Key Accomplishments:

• Launched three revenue-generating products within 12 months, establishing first-year revenue across enterprise, agency, and self-serve markets.
• Owned end-to-end execution across SaaS, services, and enterprise infrastructure, building the operating foundation for growth, fundraising readiness, and scale, including company-wide implementation of NetSuite (ERP) and ADP.
• Led development of a patent-backed knowledge graph and AI platform, owning the data ingestion, governance, and intelligence layers that power agentic decisioning, optimization, and continuous learning. Named co-inventor on the submitted patent.
• Established the company’s data and intelligence strategy, aligning proprietary data assets to product strategy and the product-led growth (PLG) motion, including ICP focus, roadmap sequencing, and disciplined V1–V2 scope management.

At The Coca-Cola Company, I held multiple leadership roles across Enterprise Marketing, Platform Services, and North America Digital, overseeing Data, Insights, and Digital. In these roles, I aligned data strategy, AI, and execution to support change within a highly matrixed organization.

Key Accomplishments:

• Led NAOUs Acceleration and Digital Council function, owning governance, coordination, and execution across $100M+ in annual digital investments. Partnered closely with Global, Finance, Supply Chain, Marketing, and DTS to align digital priorities, modernize capabilities across functions, and ensure delivery, adoption, and measurable impact.
• Developed and led the Global Experimentation @ Scale program that enabled enterprise insight and capability scaling and delivered ~$130M in NSR impact (2022–2023). Recognized as a Top 5 CMO initiative, featured at Cannes, and was asked to present to the Board at the request of the CMO.
• Served as Head of Data for North America Digital Services, representing Operating Unit (OU) needs with Platform Services and guiding Digital & Technology Services (DTS) on data product delivery, data collection, architecture, and usage. Also selected to serve as North America GenAI Lead, shaping early enterprise adoption and use cases
• Led development of the enterprise marketing data model, enabling unified consumer insights across billions of interactions to improve DME optimization. Recognized as a Top 3 Platform Services initiative.

Recruited as Head of Marketing Analytics for Amazon Workforce Staffing (WFS), assuming ownership of data warehousing, business intelligence, data science, and media activation functions previously supported by external agencies. Built internal analytics, experimentation, and decisioning capabilities to support rapid growth and operational scale.

Key Achievements:

• Built a modern marketing analytics and data engineering organization, internalizing agency-supported capabilities and delivering $5.3M in annualized net benefit through improved efficiency and reduced external spend.
• Led a large-scale experimentation and A/B testing program, leveraging Optimizely and Marketo, driving an average ~5% monthly reduction in cost per application and enabling the record hiring of 1M+ associates during the COVID-19 pandemic.
• Implemented marketing mix modeling to guide channel optimization and long-term media planning, reducing regional specialist FTE needs by 13% and supporting governance of ~$500M in advertising spend.

Built and led the Enterprise Marketing Analytics organization, driving customer acquisition and engagement strategies across the bank and stewarding measurement, audience strategy, experimentation, and personalization to support enterprise consumer growth.

Key Achievements:

• Deployed ~$100M in digital experience technology to measure and optimize the end-to-end customer journey across channels.
• Identified a $2B addressable retention opportunity using machine-learning models to predict churn risk and activate targeted interventions.
• Scaled the enterprise experimentation program, increasing ROI by 272% (2018) and 324% (2019) through data science and multivariate testing (MVT).
• Led enterprise consumer segment analytics and personalization, delivering a 26% lift in product penetration and improved customer experience.

Held progressively senior leadership roles building and scaling analytics, data science, and decision intelligence capabilities across highly regulated financial services organizations, supporting consumer lending, mortgage servicing, and wealth & investment management.

Selected Impact:

• Built and led enterprise analytics and data science organizations, including Centers of Excellence supporting contact centers, brokerage, servicing, and back-office operations.
• Delivered material business impact, including $7M+ in annual cost savings, identification of $2B+ in revenue and retention opportunity, and support for approval of $60M+ in multi-year technology investments through data-driven business cases.
• Led advanced analytics initiatives spanning risk modeling, loss forecasting, regulatory compliance, customer retention, and personalization, including during periods of significant market disruption.
• Selected for GE’s Operations & Collections Leadership Program (OCLP), completing rotational assignments across Risk Management, Call Center Operations, and Six Sigma, establishing strong operating rigor and end-to-end execution capability.

Led a cross-functional analytics and reporting organization supporting Home Mortgage Default Servicing during the financial crisis. Partnered with Underwriting, Settlement, Specialty Servicing, Community Outreach, Short Sale/Liquidation, and Capital Markets to deliver regulatory-compliant insights, operational transparency, and process improvement at scale.

Served as a senior member of the Home Lending Risk Analytics team during the housing market collapse, delivering loss forecasting, credit risk analytics, and portfolio insights to Collections, Operations, Finance, and Risk Leadership.

Selected for GE’s prestigious Operations & Collections Leadership Program, completing rotational assignments across Risk Management, Call Center Operations, and Six Sigma, supporting large consumer lending portfolios.