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AI/ML Business Data Analyst-Hybrid

Elite TechnicalElkridge, MD🇺🇸United StatesPosted 7 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Third Parties -Absolutely no phone calls please !!

The AI/ML Business Data Analyst plays a critical role in translating business needs into data driven, AI enabled solutions that will drive strategic decisions across our client''''s corporate landscape.

This role partners closely with IT, and business units across the organization, to identify opportunities where data, machine learning, and automation can responsibly enhance operations. The AI Data Business Analyst will emphasize practical application of analytics and AI, ensuring solutions are explainable, compliant, and aligned our client''''s values. The analyst bridges business context and technical execution, turning complex datasets into insights that drive measurable outcomes.

The incumbent will collaborate with all levels of the Health Plan and will recommend solutions based on identified data trends and business needs. This role will also be responsible for creating documentation and maintaining visualizations based on business requirements.

PRIMARY ACCOUNTABILITIES:
Business & Data Analysis

Partner with business stakeholders to understand operational challenges and translate them into clear data and analytics requirements.

Analyze large, complex datasets to identify trends, risks, and improvement opportunities.
Develop business cases and ROI narratives for analytics and AI initiatives that improve efficiency, reduce errors, or enhance member experience.

AI & Advanced Analytics Enablement 
Collaborate with IT to produce analysis dashboards, to create visualizations for the organization.
Support the design, testing, and deployment of machine learning and AI enabled use cases for approved initiatives.
Assist in monitoring models post deployment, identifying data quality issues, bias risks, or performance drift.

Governance, Compliance & Risk Awareness
Adhere to Compliance requirements related to data handling and reporting requirements.
Document data sources, logic, assumptions, and limitations to support audits, transparency, and explainability.
Participate in responsible AI and data governance processes, ensuring ethical use of analytics across the organization.
Coordinate with IT Team Leads in conjunction with the IT Project Manager, to align with organization priorities.
Work with external vendors to develop and maintain approved solutions. Scope business functional enhancement projects and validate recommended solutions to the organization.

Apply today for immediate consideration 

Skills

Machine Learning

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