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У роли понятный бизнес-фокус на AI, четкие обязанности и конкретный план перехода, хотя на старте многое будет зависеть от взаимодействия с внешними подрядчиками.
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Текст:
Hirify AI/Оригинал
TL;DR
AI/ML Business Data Analyst (AI/ML): Auditing AI metrics, analyzing vendor-delivered bot data, building executive dashboards, and developing AI use cases for internal business strategies with an accent on data trends, requirements gathering, and business value. Focus on transitioning AI responsibilities in-house, mapping data dependencies, documenting AS-IS/TO-BE workflows, and presenting recommendations to non-technical stakeholders.
Location: Hybrid, Elkridge, Maryland, United States
Company
An organization is bringing mature AI capabilities in-house after extensive vendor partnerships and custom development to support long-term internal business strategies.
What you will do
Review AI/ML initiatives and vendor-delivered bot data to identify trends and recommend high-impact expansion opportunities.
Evaluate vendor-provided model performance indicators, data quality, and operational efficiency.
Gather stakeholder requirements and create detailed AS-IS and TO-BE documentation, technical specifications, and ROI business cases.
Identify operational bottlenecks and develop AI/ML use cases for business units.
Build and maintain visual, executive-ready dashboards and translate AI and bot metrics into actionable summaries.
Present findings and recommendations to non-technical audiences and support the 60–90-day transition from external vendors.
Requirements
Bachelor’s degree with 3–5 years of professional analytics experience preferred, or 7+ years of equivalent practical analytics experience without a degree.
1–2 years of foundational exposure to, or strong practical interest in, AI/ML concepts, including predictive modeling, NLP, or automation; advanced model development and coding are not required.
Ability to map data trends to strategic AI improvements and translate metrics into business value.
Professional experience in a Healthcare Payor or Provider, insurance, or health plan environment is highly preferred; Financial Services experience is a strong secondary option.
Proficiency building executive-ready dashboards using Looker, Tableau, or Power BI.
Expertise in requirements elicitation, technical documentation, and AS-IS/TO-BE workflow mapping.
Strong foundational ability to inspect data structures; SQL querying is a strong plus.
Exceptional verbal and written communication skills, including explaining data trends and business value to stakeholders.
Culture & Benefits
Hybrid work arrangement in Elkridge, Maryland.
Direct-hire, direct-placement opportunity.
Initial 60–90-day collaboration with external vendors to transition responsibilities, map dependencies, and establish internal strategic control.
Hiring process
Direct placement opportunity; referral compensation is available for successful candidate referrals.
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