What are the responsibilities and job description for the AI DATA BUSINESS ANALYST position at APWU AFL-CIO HEALTH PLAN?
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.