AI DATA BUSINESS ANALYST

The APWU Health Plan, a non-profit organization located in Elkridge, MD, is seeking an AI Data Business Analyst to join our Information Technology Division.

The AI Data Business Analyst plays a critical role in translating business needs into data driven, AI enabled solutions that will drive strategic decisions across the APWU Health Plan.

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 APWUHP 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.
• Complete other duties as assigned.

Qualifications

• Bachelor’s degree in business Analytics, Data Science, Information Systems, Statistics, Computer Science, or a related discipline, or equivalent practical experience.
• 5+ years of experience in data analysis, business analysis, or analytics roles, preferably in healthcare, insurance, or other regulated environments.
• Hands‑on experience working with structured datasets and analytical tools to support business decision‑making.
• Experience collaborating with cross‑functional teams, including IT, compliance, and operations.
• Excellent technical and analytical skills, as well as exceptional verbal and written communication skills. Ability to render and write business requirements such as technical documentation and business decision documentation.
• Proficiency in requirements gathering - effectively translating business needs as expressed by users into workable specs, estimating time\duration to complete and implement the solution.
• Strong SQL and data analysis skills; experience with BI and visualization tools.
• Familiarity with machine learning or AI concepts (predictive modeling, NLP, automation), with emphasis on business application rather than model development.
• Ability to clearly communicate insights, risks, and recommendations to non‑technical audiences.
• Experience with healthcare claims, enrollment systems, or payer data.
• Exposure to model governance, audit support, or regulatory reporting preferred.
• Experience supporting analytics during high volume periods such as Open Season preferred.
• Strong work history.