Director, Analytical AI & Data Platforms
Listed on 2026-07-01
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations, Machine Learning/ ML Engineer, Data Analyst
Director, Analytical AI & Data Platforms
Remote
Company DescriptionAt Pay Near Me , we’re on a mission to make paying and getting paid as simple as possible. We build innovative technology that transforms the way businesses and their customers experience payments. Our industry-leading platform, PayXM™, is the first of its kind—designed to manage the entire payment experience from start to finish. Every click, swipe or tap is seamless, fast and secure, helping non-commerce businesses boost customer satisfaction, accelerate payments, and reduce costs.
Our single platform handles it all: cards, ACH, digital wallets such as Pay Pal, Venmo, Cash App Pay, Apple Pay and Google Pay, and even cash at more than 62,000 retail locations nationwide. Today, thousands of businesses across consumer lending, iGaming and online sports betting, property management, and tolling trust Pay Near Me to deliver a payment experience that drives real results.
In September 2025, we raised a $50 million Series E funding round to accelerate our growth.
We’re a team of 300+ employees across 41 states, headquartered in Silicon Valley with satellite offices in Dallas, TX and Holmdel, NJ.
Join us and be part of a team that’s shaping the future of payments—one experience at a time.
ResponsibilitiesThe Director, Analytical AI & Data Platforms will lead the transformation of predictive intelligence and AI-enabled decisioning across our payment processing ecosystem. This strategic leadership role will support the VP, Data in refining and operationalizing the company’s Analytical AI vision by building scalable predictive analytics, machine learning, and AI-driven insight capabilities that improve transaction intelligence, fraud prevention, merchant growth, customer engagement, operational efficiency, and revenue optimization.
In partnership with the VP of Data, this role will establish the strategic direction for Analytical AI, defining how predictive analytics, machine learning, decision intelligence, and AI-assisted analytics complement broader enterprise AI initiatives, including automation, generative AI, customer-facing AI, and operational AI.
Success in this position requires a unique combination of deep technical expertise, business acumen, organizational leadership, and strategic influence. The ideal candidate will be able to translate sophisticated analytical concepts into measurable business outcomes while building scalable AI and data capabilities within a highly regulated, high-volume transactional environment.
The Director, Analytical AI & Data Platforms will lead a multidisciplinary team spanning data platform engineering, AI/ML enablement, BI, and platform operations, while advancing a modern cloud data platform built on:
- Snowflake
- dbt
- Fivetran
- Apache Iceberg on Amazon S3
- Looker & LookML
- SQL, Python
- AWS
- Gitlab
- Terraform, Open Tofu
- RDS Database Insights and Datadog
- Execute a multi-year strategy for enterprise Analytical AI and the modern data platform.
- Establish the enterprise framework for predictive analytics, machine learning enablement, AI-driven decision intelligence, and scalable analytical product delivery.
- Develop a future-oriented roadmap for Analytical AI capabilities, including:
- Predictive modeling
- Recommendation and next-best-action engines
- AI-assisted analytics
- Forecasting and anomaly detection
- Decision optimization
- Generative AI-enabled analytics workflows
- Define how Analytical AI capabilities integrate with broader enterprise AI initiatives, ensuring alignment across data science, automation, GenAI, and operational AI investments.
- Collaborate with Data leadership to evangelize strategic viewpoints to executive leadership on predictive analytics, data platform modernization, and emerging technology opportunities.
- Lead the design, deployment, and operationalization of predictive and machine learning models that drive measurable business impact across the payments ecosystem.
- Advance enterprise predictive analytics capabilities in areas including:
- Fraud detection and transaction risk scoring
- Merchant segmentation and prioritization
- Churn prediction and…
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