AI-Driven Customer Data Solutions Lead

Eshipping, Llc; Parkville (MO); On-site; USD 90,000 - 130,000; Full time

Job summary

eShipping LLC is seeking a Customer Data Solutions Lead to own customer accounts and a portfolio of improvement initiatives. You will analyze customer data using SQL and DAX, translate findings into engineering-ready requirements, and configure reporting solutions to support decision-making.

The role emphasizes AI-enabled quality, collaboration with data engineers, and ongoing monitoring of outcomes. The position combines customer consulting, business analysis, and hands-on data work to drive

Qualifications

• Bachelor’s degree in a technical field or related discipline.
• Experience applying customer consulting, business analysis, and data analysis to create value.
• Experience using SQL and/or DAX to investigate data and support requirements.
• Experience developing reports or dashboards in Power BI or BI tools.

Responsibilities

• Own assigned customer accounts and drive adoption of solutions.
• Lead a portfolio of improvement initiatives delivering measurable value.
• Analyze customer data with SQL and DAX to document needs and root causes.
• Translate needs into engineering-ready requirements for data teams.
• Monitor solutions and adjust initiatives to improve outcomes.
• Configure reporting solutions supporting decision-making and monitoring.
• Validate data and reporting before release; ensure quality.
• Leverage AI to improve output quality and efficiency.

Skills

Customer consulting

Stakeholder management

Data analysis

Written communication

Project management

AI utilization

Education

Bachelor’s degree in a technical field

Tools

SQL

DAX

Power BI

Git

Job description

eShipping LLC is seeking a Customer Data Solutions Lead to own customer accounts and a portfolio of improvement initiatives. You will analyze customer data using SQL and DAX, translate findings into engineering-ready requirements, and configure reporting solutions to support decision-making.

The role emphasizes AI-enabled quality, collaboration with data engineers, and ongoing monitoring of outcomes. The position combines customer consulting, business analysis, and hands-on data work to drive